------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\locasa\Dropbox\Patriotism\writeup\submission\QJE\replication\log/results-appendix.log
  log type:  text
 opened on:  15 Jun 2022, 15:13:16

. 
. *       Patriotism!
. 
. *       FIRST VERSION  June            2, 2022
. *       THIS VERSION   June        9, 2022
. *       LAST RUN       June            9, 2022
. 
. *       AUTHOR              AT, BC
. *       LAST REVISOR            LMC
. 
. *       Log of revisions:
. 
. *       This produces tables and figures in the appendix
. 
. ***************************************************************************************************
. ****                              PLAN OF THE PROCEDURE                                        ****
. ****___________________________________________________________________________________________****
. ****                                                                                           ****
. ****     I. Tables                                                                             ****
. ****         Tab 1.  New Deal and Patriotism: Basic Patterns (Full)                             ****
. ****                 Panel A: All Grants                                                                               ****
. ****                 Panel B: Breakdown                                                                                ****
. ****         Tab 2.  Identification                                                                                ****
. ****         Tab 3.  Balance table                                                                                 ****
. ****         Tab 4.  Reduced forms                                                                                 ****
. ****         Tab 5.  Placebo                                                                                   ****
. ****         Tab 6.  Mediation                                                                                 ****
. ****                 Panel A: New Deal grants                                                          ****
. ****                 Panel B: Agricultural grants                                                      ****
. ****         Tab 8.  Panel Regressions                                                                 ****
. ****         Tab 9.  Frontier experience                                                                   ****
. ****         Tab 10. Women volunteers                                                                      ****
. ****         Tab 11. Spatial Autocorrelation                                                   ****
. ****                 Panel A: Moran's I                                                                ****
. ****                 Panel B. Conley s.e.                                                              ****
. ****         Tab 12. Entropy Balancing                                                         ****
. ****         Tab 13-15. Robustness in subsamples                                               ****
. ****         Tab 16. Inverse of 1930 population                                                    ****
. ****         Tab 17. The Impact of Service Comamnd 7                                               ****
. ****     II. Figures                                                                           ****
. ****         Fig 1. Heterogeneity by cattle ranching                                               ****
. ****         Fig 2. Never Takers                                                                   ****
. ****         Fig 3. Heterogeneity: economic conditions                                             ****
. ****         Fig 4. Heterogeneity: FDR support                                                     ****
. ****         Fig 5. Distribution of droughts                                                       ****
. ****         Fig 6. Heterogeneity: frontier experience                                             ****
. ****         Fig 7. Plausibly Exogenous (Conley et al. 2012)                                       ****
. ****         Fig 9. Matching Exercises                                                             ****
. ****         Fig 10. Drop one state at a time                                                      ****
. ****    III. Erase junk                                                                        ****
. ****___________________________________________________________________________________________****
. ***************************************************************************************************
. 
. macro def control                        "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c3
> 0jap c30deu c30ita c30vet lc40wage iwarconpro_PC i.stateicpsr"

. macro def control_ww1        "lpop10 c10unemp c10urban1 c10men c10black c10jap c10deu c10ita i.stateicpsr"

. macro def control_nofe           "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30
> deu c30ita c30vet lc40wage iwarconpro_PC"

. macro def control_ww1_nofe   "lpop10 c10unemp c10urban1 c10men c10black c10jap c10deu c10ita"

. 
. macro def panelcontrols      "lpop unemp urban1 men black jap deu ita aut MEAN96282 vet2 lc40wage2 iwarconpro_PC2"

. 
. macro def controls_asn       "h w bmi C40NONWHITE C40MARRIED noncitizen C40SCHOOL_E  C40SCHOOL_H C40SCHOOL_C i.C40AGE"

. macro def controls_asn_noage "h w bmi C40NONWHITE C40MARRIED noncitizen C40SCHOOL_E  C40SCHOOL_H C40SCHOOL_C"

. 
. ********************************************************************************
. ****           0. Prepare datasets                                          ****
. ********************************************************************************  
. 
. ********************************************************************************
. ****                    i. ASN                                                      ****
. ******************************************************************************** 
. 
. /*
> use "data\patriotism-ASN", clear
> 
> lab var iAAA_PF_farmer                                   "AAA grants $\times$ farmer"
> lab var iAAA_PF_farmhand                                 "AAA grants $\times$ farm-hand"
> lab var iAGRI_PF_farmer                                  "Agricultural support $\times$ farmer"
> lab var iAGRI_PF_farmhand                                "Agricultural support$\times$ farm-hand"
> lab var iSUM3MO_DROUGHT3340_farmer       "Summer droughts: 1933-40 $\times$ farmer"
> lab var iAGRI_T73_farmer                                 "Tenure in Agri committee: 1933-35 $\times$ farmer"
> lab var iSUM3MO_DROUGHT3340_farmhand     "Summer droughts: 1933-40 $\times$ farm-hand"
> lab var iAGRI_T73_farmhand                       "Tenure in Agri committee: 1933-35 $\times$ farm-hand"
> lab var farmer                                                   "Farmer"
> lab var farmhand                                                 "Farm-hand"
> 
> save "tmp/asn", replace
> 
> */
. 
. ********************************************************************************
. ****                    ii. Main                                                    ****
. ********************************************************************************   
. use "data\patriotism", clear

. 
. /* new labels here and save version in tmp*/           
. 
. lab var lpop30                  "log 1930 population"

. lab var c30unemp            "1930 unemployment rate"

. lab var c40unemp            "1940 unemployment rate"

. lab var lc40wage                "log 1939 average wage"

. lab var c30urban1           "Urban status: 1930"

. lab var MEAN9628                "Mean Democratic vote share: 1898-1928"

. lab var c30men                  "1930 share of men"

. lab var c30black                "1930 share of blacks"

. lab var c30jap                  "1930 share of Japaneses"

. lab var c30deu                  "1930 share of Germans"

. lab var c30ita                  "1930 share of Italians"

. lab var c30vet                  "1930 share of veterans"

. lab var invpop_w99              "Inverse of 1930 population"

. lab var c30farm                 "1930 farm share"

. lab var iwarbond_1944_PC    "1944 war bond purchases p.c." 

. lab var ww2_vol_pop40       "WWII volunteers per 1940 population"

. lab var iwarconpro_PC       "WII war contract per capita"

. lab var ww1_vol_sh          "WWI volunteering rate"

. lab var ww1_vol_pop10       "WWI volunteers per capita"

. lab var ww1_awards_pop10_is "WWI awards per capita"

. lab var iYf_T29             "1929 farm income"

. lab var shown_1930          "1930 share of farm-owners"

. lab var iSUM3MO_DROUGHT3340 "Months of drought: 1933-40"

. lab var iAGRI_T62           "Tenure agri committee: 1911-13"

. lab var iAGRI_T73           "Tenure agri committee: 1933-35"

. lab var iHOLC_PH            "HOLC loans"

. lab var iinfra_AL           "Public works grants"

. lab var iRFC_PC             "RFC loans"

. lab var iNDEXP_PC               "New Deal grants"

. lab var iSSA_PB                 "Public Assistance"

. lab var iAGRI_PF                "Agricultural support"

. lab var EW_AL                   "Emergency workers"

. lab var tye_tfe890_500k_100_l6 "Frontier experience"

. lab var ww2_awards_pop40_is "WWII medals per 1940 population"

. 
. save "tmp/patriot", replace
file tmp/patriot.dta saved

. 
. 
. do "code-build/01_Shopping_List.do"

. *       Patriotism!
. 
. *       FIRST VERSION  June       13, 2022
. *       THIS VERSION   June       13, 2022
. *       LAST RUN       June       13, 2022
. 
. *       LAST REVISOR            LMC
. 
. *       Log of revisions:
. 
. *       This prepares all the Packages for you to run smoothly the replicator
. *       
. *               WARNING: THIS IS NOT A STANDALONE FILE, IT WILL BE RUN IN EACH FILE!
. 
. ********************************************************************************
. ****                      PLAN OF THE PROCEDURE                             ****
. ****                                                                        ****
. ****    1. Creating the Shopping List                                           ****
. ********************************************************************************
. local dir : pwd

. 
. sysdir set PLUS "`dir'\ado"

. 
end of do-file

. ***************************************************************************************************
. ****         Tab 1.  New Deal and Patriotism: Basic Patterns (Full)                             ****
. ****                 Panel A: All Grants                                                                               ****
. ***************************************************************************************************
. 
. use "tmp/patriot", clear 

. 
. estimates clear

. eststo: xi:  reg iwarbond_1944_PC   iNDEXP_PC $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      95.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6500
                                                Root MSE          =     .40435

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1913998   .0240857     7.95   0.000     .1441734    .2386262
         ww1_vol_sh |  -.0037429   .0360486    -0.10   0.917    -.0744257      .06694
ww1_awards_pop10_is |   .2400123   .0841721     2.85   0.004     .0749704    .4050542
             lpop30 |  -.0296454   .0256091    -1.16   0.247    -.0798588    .0205681
           c30unemp |  -.7161748   .2732509    -2.62   0.009    -1.251956   -.1803935
          c30urban1 |   .0752111   .0247794     3.04   0.002     .0266244    .1237978
            c30farm |  -.4194219    .125145    -3.35   0.001     -.664802   -.1740419
            iYf_T29 |   .0884241   .0194234     4.55   0.000     .0503393    .1265089
           MEAN9628 |   .0034886   .0009676     3.61   0.000     .0015913    .0053859
             c30men |  -1.707234   .7532938    -2.27   0.024    -3.184268    -.230201
           c30black |  -.2844474   .0859688    -3.31   0.001    -.4530122   -.1158826
             c30jap |   6.097407   2.218797     2.75   0.006     1.746864    10.44795
             c30deu |   .9365989   .1897416     4.94   0.000       .56456    1.308638
             c30ita |  -.3709609   .5636864    -0.66   0.511    -1.476218    .7342965
             c30vet |  -.0730453   1.021874    -0.07   0.943    -2.076702    1.930611
           lc40wage |   .5192187   .0575798     9.02   0.000     .4063183    .6321192
      iwarconpro_PC |   .2594412   .0220916    11.74   0.000     .2161246    .3027577
      _Istateicps_2 |  -.1975357   .1281159    -1.54   0.123     -.448741    .0536697
      _Istateicps_3 |  -.2401156   .1259525    -1.91   0.057    -.4870791     .006848
      _Istateicps_4 |  -.1076083    .172976    -0.62   0.534    -.4467739    .2315574
      _Istateicps_5 |  -.3589533   .3447272    -1.04   0.298    -1.034883    .3169763
      _Istateicps_6 |  -.0434672   .1234164    -0.35   0.725    -.2854579    .1985236
     _Istateicps_11 |   .1908367   .1453972     1.31   0.189    -.0942533    .4759267
     _Istateicps_12 |  -.1411405   .1121733    -1.26   0.208     -.361086    .0788051
     _Istateicps_13 |  -.0702594   .0959957    -0.73   0.464    -.2584845    .1179657
     _Istateicps_14 |  -.1039543    .100406    -1.04   0.301    -.3008271    .0929184
     _Istateicps_21 |   .1002843   .1038924     0.97   0.334    -.1034243     .303993
     _Istateicps_22 |   .0264737   .1034735     0.26   0.798    -.1764137    .2293611
     _Istateicps_23 |  -.0683264   .1054779    -0.65   0.517    -.2751439    .1384912
     _Istateicps_24 |  -.0883392    .102684    -0.86   0.390    -.2896786    .1130002
     _Istateicps_25 |   .0197177     .11181     0.18   0.860    -.1995156     .238951
     _Istateicps_31 |   .6088195   .1088795     5.59   0.000     .3953322    .8223067
     _Istateicps_32 |   .4766987   .1132473     4.21   0.000     .2546472    .6987502
     _Istateicps_33 |   .3570563   .1147385     3.11   0.002     .1320809    .5820318
     _Istateicps_34 |  -.0190878   .1051365    -0.18   0.856    -.2252359    .1870603
     _Istateicps_35 |   .5857538   .1136278     5.16   0.000     .3629562    .8085514
     _Istateicps_36 |   .6987652   .1322788     5.28   0.000     .4393974    .9581331
     _Istateicps_37 |    .389369   .1179493     3.30   0.001     .1580979    .6206401
     _Istateicps_40 |   .0178281    .117396     0.15   0.879    -.2123581    .2480143
     _Istateicps_41 |  -.0345923   .1128017    -0.31   0.759    -.2557701    .1865855
     _Istateicps_42 |  -.4192116   .1196381    -3.50   0.000    -.6537941   -.1846292
     _Istateicps_43 |  -.1057771    .130009    -0.81   0.416    -.3606944    .1491403
     _Istateicps_44 |  -.1549352   .1167353    -1.33   0.185    -.3838259    .0739554
     _Istateicps_45 |  -.2966653   .1194827    -2.48   0.013    -.5309429   -.0623876
     _Istateicps_46 |  -.1482086   .1213463    -1.22   0.222    -.3861405    .0897232
     _Istateicps_47 |  -.1095101   .1120281    -0.98   0.328    -.3291709    .1101508
     _Istateicps_48 |   -.437282   .1303906    -3.35   0.001    -.6929476   -.1816164
     _Istateicps_49 |   .1502483   .1131627     1.33   0.184    -.0716373    .3721339
     _Istateicps_51 |   -.345749   .1094068    -3.16   0.002    -.5602703   -.1312278
     _Istateicps_52 |  -.0976841   .1351856    -0.72   0.470    -.3627516    .1673833
     _Istateicps_53 |   .0693364   .1162262     0.60   0.551    -.1585562    .2972289
     _Istateicps_54 |  -.1821322   .1090789    -1.67   0.095    -.3960104     .031746
     _Istateicps_56 |  -.3038139   .1072261    -2.83   0.005    -.5140592   -.0935686
     _Istateicps_61 |  -.1599922   .1506209    -1.06   0.288    -.4553247    .1353403
     _Istateicps_62 |   .0183581   .1223038     0.15   0.881    -.2214511    .2581672
     _Istateicps_63 |   .1454593   .1371795     1.06   0.289    -.1235177    .4144364
     _Istateicps_64 |    .581984   .1317018     4.42   0.000     .3237475    .8402205
     _Istateicps_65 |  -.0463904   .1762576    -0.26   0.792    -.3919904    .2992096
     _Istateicps_66 |  -.2784062   .1488858    -1.87   0.062    -.5703365    .0135242
     _Istateicps_67 |  -.1397665   .1296454    -1.08   0.281    -.3939709    .1144378
     _Istateicps_68 |   .4239373   .1449069     2.93   0.003     .1398088    .7080658
     _Istateicps_71 |   .1904838   .1211077     1.57   0.116      -.04698    .4279477
     _Istateicps_72 |   .5718963   .1252598     4.57   0.000      .326291    .8175015
     _Istateicps_73 |   .3760192   .1560744     2.41   0.016     .0699938    .6820446
     _Istateicps_98 |          0  (omitted)
              _cons |   1.061665   .5962388     1.78   0.075    -.1074197    2.230751
-------------------------------------------------------------------------------------
(est1 stored)

.             qui: sum iwarbond_1944_PC   if e(sample) == 1, d

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

.        local iqr_y       = (r(p75) - r(p25))

. estadd local IQR_Y = string(`iqr_y', "%9.3f")

added macro:
              e(IQR_Y) : "0.921"

.             qui: sum iNDEXP_PC          if e(sample) == 1, d

.        local iqr_x       = (r(p75) - r(p25))

. estadd local IQR_X = string(`iqr_x', "%9.3f")

added macro:
              e(IQR_X) : "0.713"

. 
. eststo: xi:  reg ww2_vol_pop40      iNDEXP_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      70.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6198
                                                Root MSE          =     .21328

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0471713   .0156551     3.01   0.003     .0164715    .0778711
         ww1_vol_sh |    .110829   .0259825     4.27   0.000      .059877     .161781
ww1_awards_pop10_is |   .1295866    .099245     1.31   0.192    -.0650337    .3242069
             lpop30 |  -.0150495   .0103258    -1.46   0.145    -.0352984    .0051995
           c30unemp |   .5311241   .1977125     2.69   0.007     .1434083      .91884
          c30urban1 |   .0166562    .012915     1.29   0.197    -.0086702    .0419827
            c30farm |  -.0670716   .0536509    -1.25   0.211    -.1722814    .0381382
            iYf_T29 |  -.0200108   .0111169    -1.80   0.072    -.0418111    .0017895
           MEAN9628 |   .0000689    .000535     0.13   0.898    -.0009802     .001118
             c30men |  -1.373568   .5151439    -2.67   0.008     -2.38377   -.3633667
           c30black |  -.4372501   .0382799   -11.42   0.000    -.5123173   -.3621828
             c30jap |   .8435633   1.227346     0.69   0.492    -1.563272    3.250399
             c30deu |  -.6184738    .159494    -3.88   0.000    -.9312429   -.3057048
             c30ita |  -.2575304   .2393845    -1.08   0.282    -.7269653    .2119045
             c30vet |   1.064258   .3284924     3.24   0.001     .4200813    1.708434
           lc40wage |   .2232951   .0331382     6.74   0.000     .1583108    .2882794
      iwarconpro_PC |  -.0386987   .0079706    -4.86   0.000    -.0543291   -.0230683
      _Istateicps_2 |  -.0346837   .0607441    -0.57   0.568    -.1538033    .0844359
      _Istateicps_3 |   .0179922   .0595143     0.30   0.762    -.0987158    .1347002
      _Istateicps_4 |   .2100558   .0793067     2.65   0.008     .0545347    .3655769
      _Istateicps_5 |   -.020517   .0692617    -0.30   0.767    -.1563398    .1153058
      _Istateicps_6 |   .2849785   .0778868     3.66   0.000     .1322418    .4377152
     _Istateicps_11 |  -.1905889    .063374    -3.01   0.003    -.3148658    -.066312
     _Istateicps_12 |  -.1088452   .0537399    -2.03   0.043    -.2142296   -.0034608
     _Istateicps_13 |   .0184302   .0534532     0.34   0.730    -.0863921    .1232524
     _Istateicps_14 |  -.2415148   .0518837    -4.65   0.000    -.3432591   -.1397705
     _Istateicps_21 |   .0194748   .0574804     0.34   0.735    -.0932447    .1321944
     _Istateicps_22 |  -.0834092   .0557229    -1.50   0.135    -.1926823    .0258639
     _Istateicps_23 |  -.0520224     .06226    -0.84   0.403    -.1741148      .07007
     _Istateicps_24 |  -.1100331   .0557431    -1.97   0.049    -.2193457   -.0007204
     _Istateicps_25 |   .1857352   .0665411     2.79   0.005     .0552476    .3162228
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1576362   .0572577    -2.75   0.006    -.2699191   -.0453533
     _Istateicps_41 |   .0876356   .0595924     1.47   0.142    -.0292256    .2044969
     _Istateicps_42 |  -.2436627   .0577923    -4.22   0.000    -.3569939   -.1303316
     _Istateicps_43 |   .1925812    .064631     2.98   0.003     .0658394    .3193231
     _Istateicps_44 |   .1780442   .0581828     3.06   0.002     .0639472    .2921411
     _Istateicps_45 |  -.1947976   .0573614    -3.40   0.001    -.3072837   -.0823114
     _Istateicps_46 |   .1170214   .0611679     1.91   0.056    -.0029294    .2369722
     _Istateicps_47 |  -.0157006   .0562306    -0.28   0.780    -.1259693     .094568
     _Istateicps_48 |   .0567853   .0622429     0.91   0.362    -.0652736    .1788442
     _Istateicps_49 |   .5343937   .0603567     8.85   0.000     .4160336    .6527537
     _Istateicps_51 |   .0384493   .0567588     0.68   0.498    -.0728551    .1497536
     _Istateicps_52 |  -.2951275   .0601104    -4.91   0.000    -.4130046   -.1772504
     _Istateicps_53 |   .1413956   .0606749     2.33   0.020     .0224117    .2603795
     _Istateicps_54 |  -.0343568   .0580638    -0.59   0.554    -.1482204    .0795067
     _Istateicps_56 |   .0527032   .0603763     0.87   0.383    -.0656953    .1711017
     _Istateicps_61 |  -.5428118   .0710616    -7.64   0.000    -.6821642   -.4034593
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0656251   .0678951    -0.97   0.334    -.1987679    .0675177
     _Istateicps_64 |   .1672749    .072166     2.32   0.021     .0257568     .308793
     _Istateicps_65 |  -.2146019    .095559    -2.25   0.025    -.4019939   -.0272099
     _Istateicps_66 |   .0703488   .0757387     0.93   0.353    -.0781755    .2188731
     _Istateicps_67 |  -.2245669   .0653255    -3.44   0.001    -.3526707    -.096463
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .018366   .0712835     0.26   0.797    -.1214215    .1581534
     _Istateicps_72 |   -.151916   .0687728    -2.21   0.027      -.28678    -.017052
     _Istateicps_73 |   .0363616   .0702835     0.52   0.605     -.101465    .1741882
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2668092   .3503008    -0.76   0.446    -.9537519    .4201335
-------------------------------------------------------------------------------------
(est2 stored)

.             qui: sum ww2_vol_pop40      if e(sample) == 1, d

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

.        local iqr_y       = (r(p75) - r(p25))

. estadd local IQR_Y = string(`iqr_y', "%9.3f")

added macro:
              e(IQR_Y) : "0.402"

.             qui: sum iNDEXP_PC          if e(sample) == 1, d

.        local iqr_x       = (r(p75) - r(p25))

. estadd local IQR_X = string(`iqr_x', "%9.3f")

added macro:
              e(IQR_X) : "0.637"

. 
. 
. eststo: xi:  reg ww2_awards_pop40_is iNDEXP_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      12.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1858
                                                Root MSE          =     .11655

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0224353    .012969     1.73   0.084     -.002997    .0478677
         ww1_vol_sh |   .0567001   .0206198     2.75   0.006     .0162645    .0971356
ww1_awards_pop10_is |   .0358764   .0341077     1.05   0.293    -.0310091     .102762
             lpop30 |  -.0175697   .0120292    -1.46   0.144     -.041159    .0060196
           c30unemp |   .1192512   .1446239     0.82   0.410    -.1643575    .4028599
          c30urban1 |   .0095073   .0062524     1.52   0.129    -.0027538    .0217684
            c30farm |   .0356015   .0264233     1.35   0.178    -.0162148    .0874177
            iYf_T29 |   .0154792   .0089103     1.74   0.082     -.001994    .0329524
           MEAN9628 |    .000081   .0003416     0.24   0.813    -.0005889    .0007509
             c30men |  -.5979399   .2611234    -2.29   0.022    -1.110005   -.0858748
           c30black |  -.0504227   .0224206    -2.25   0.025    -.0943896   -.0064558
             c30jap |   .9391403   1.285926     0.73   0.465     -1.58257    3.460851
             c30deu |   .0958424   .1331119     0.72   0.472    -.1651912     .356876
             c30ita |  -.0160179    .164022    -0.10   0.922    -.3376663    .3056306
             c30vet |    .240809   .1200457     2.01   0.045     .0053984    .4762197
           lc40wage |   .0617875   .0201715     3.06   0.002     .0222311    .1013439
      iwarconpro_PC |   .0025517   .0046564     0.55   0.584    -.0065796     .011683
      _Istateicps_2 |  -.0378123   .0310207    -1.22   0.223    -.0986441    .0230195
      _Istateicps_3 |  -.0103373   .0214012    -0.48   0.629    -.0523052    .0316305
      _Istateicps_4 |  -.0343225   .0355168    -0.97   0.334    -.1039712    .0353262
      _Istateicps_5 |   .0523741   .0504822     1.04   0.300    -.0466219      .15137
      _Istateicps_6 |  -.0287632   .0363723    -0.79   0.429    -.1000895    .0425631
     _Istateicps_11 |  -.0535878   .0273955    -1.96   0.051    -.1073106     .000135
     _Istateicps_12 |  -.0439979   .0229275    -1.92   0.055    -.0889589    .0009631
     _Istateicps_13 |  -.0155257   .0208637    -0.74   0.457    -.0564396    .0253882
     _Istateicps_14 |  -.0488293   .0224126    -2.18   0.029    -.0927806   -.0048779
     _Istateicps_21 |  -.0463706   .0316699    -1.46   0.143    -.1084756    .0157345
     _Istateicps_22 |  -.0685787   .0293334    -2.34   0.019    -.1261019   -.0110556
     _Istateicps_23 |  -.0465094   .0352482    -1.32   0.187    -.1156315    .0226127
     _Istateicps_24 |  -.0312327   .0291205    -1.07   0.284    -.0883383    .0258729
     _Istateicps_25 |  -.0798687   .0452078    -1.77   0.077    -.1685215    .0087841
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0229854   .0233461    -0.98   0.325    -.0687673    .0227964
     _Istateicps_41 |  -.0296973   .0236875    -1.25   0.210    -.0761487    .0167541
     _Istateicps_42 |  -.0467803   .0232289    -2.01   0.044    -.0923324   -.0012282
     _Istateicps_43 |   .0009499   .0317099     0.03   0.976    -.0612335    .0631334
     _Istateicps_44 |  -.0335842   .0237077    -1.42   0.157    -.0800752    .0129067
     _Istateicps_45 |  -.0348613   .0233041    -1.50   0.135    -.0805608    .0108382
     _Istateicps_46 |  -.0090983   .0247662    -0.37   0.713    -.0576649    .0394684
     _Istateicps_47 |  -.0387923   .0221516    -1.75   0.080    -.0822317    .0046471
     _Istateicps_48 |  -.0289798   .0252862    -1.15   0.252    -.0785663    .0206067
     _Istateicps_49 |   .0044811   .0238381     0.19   0.851    -.0422657    .0512279
     _Istateicps_51 |  -.0347781   .0232936    -1.49   0.136     -.080457    .0109009
     _Istateicps_52 |  -.0283768   .0330661    -0.86   0.391    -.0932198    .0364661
     _Istateicps_53 |  -.0176927   .0253562    -0.70   0.485    -.0674163    .0320309
     _Istateicps_54 |  -.0309542   .0225352    -1.37   0.170    -.0751458    .0132375
     _Istateicps_56 |  -.0348911   .0241999    -1.44   0.150    -.0823472    .0125651
     _Istateicps_61 |   .0046837   .0455495     0.10   0.918    -.0846394    .0940067
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0022925   .0448993     0.05   0.959    -.0857553    .0903403
     _Istateicps_64 |   .1114907   .0500197     2.23   0.026     .0134015    .2095798
     _Istateicps_65 |  -.0148737   .0669601    -0.22   0.824    -.1461829    .1164355
     _Istateicps_66 |  -.0163989   .0329215    -0.50   0.618    -.0809583    .0481606
     _Istateicps_67 |   .0022497   .0432151     0.05   0.958    -.0824954    .0869948
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0697472     .05159     1.35   0.177    -.0314212    .1709156
     _Istateicps_72 |  -.0140163   .0395004    -0.35   0.723    -.0914769    .0634443
     _Istateicps_73 |   .0191447   .0381242     0.50   0.616    -.0556172    .0939066
     _Istateicps_98 |          0  (omitted)
              _cons |  -.0009659   .1738696    -0.01   0.996    -.3419255    .3399937
-------------------------------------------------------------------------------------
(est3 stored)

.             qui: sum ww2_awards_pop40_is if e(sample) == 1, d

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

.        local iqr_y       = (r(p75) - r(p25))

. estadd local IQR_Y = string(`iqr_y', "%9.3f")

added macro:
              e(IQR_Y) : "0.130"

.             qui: sum iNDEXP_PC          if e(sample) == 1, d

.        local iqr_x       = (r(p75) - r(p25))

. estadd local IQR_X = string(`iqr_x', "%9.3f")

added macro:
              e(IQR_X) : "0.637"

. 
. eststo: xi:  reg pc1                iNDEXP_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =     105.15
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6421
                                                Root MSE          =     .76095

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .2905177   .0733332     3.96   0.000     .1467107    .4343248
         ww1_vol_sh |   .4560195   .1143581     3.99   0.000     .2317622    .6802767
ww1_awards_pop10_is |   .5944944   .2667191     2.23   0.026     .0714561    1.117533
             lpop30 |  -.1651172   .0617808    -2.67   0.008    -.2862699   -.0439645
           c30unemp |   1.117586   .8242638     1.36   0.175    -.4988018    2.733974
          c30urban1 |   .1773901   .0431508     4.11   0.000     .0927711    .2620092
            c30farm |  -.3136146   .1808266    -1.73   0.083    -.6682171    .0409879
            iYf_T29 |   .1148773   .0509824     2.25   0.024     .0149004    .2148541
           MEAN9628 |   .0050597   .0020311     2.49   0.013     .0010767    .0090427
             c30men |  -7.136619   1.548763    -4.61   0.000    -10.17376   -4.099482
           c30black |   -1.19932   .1488105    -8.06   0.000    -1.491139   -.9075014
             c30jap |   11.75079   6.774796     1.73   0.083    -1.534636    25.03622
             c30deu |   .5113417   .7320231     0.70   0.485    -.9241616    1.946845
             c30ita |  -.6472785   1.049279    -0.62   0.537    -2.704923    1.410366
             c30vet |   3.578578   .8706198     4.11   0.000     1.871286    5.285871
           lc40wage |   1.121407   .1304695     8.60   0.000     .8655557    1.377259
      iwarconpro_PC |   .2034959   .0321466     6.33   0.000     .1404562    .2665356
      _Istateicps_2 |  -.3627044   .2123121    -1.71   0.088    -.7790501    .0536413
      _Istateicps_3 |  -.1750713   .2011416    -0.87   0.384    -.5695117     .219369
      _Istateicps_4 |   .1238561   .2664606     0.46   0.642    -.3986753    .6463875
      _Istateicps_5 |   -.160937   .4141036    -0.39   0.698    -.9729976    .6511237
      _Istateicps_6 |   .3702565   .2540939     1.46   0.145    -.1280238    .8685368
     _Istateicps_11 |  -.3055505   .1836543    -1.66   0.096    -.6656981    .0545972
     _Istateicps_12 |  -.4792182   .1729917    -2.77   0.006    -.8184563   -.1399802
     _Istateicps_13 |  -.0658772   .1589278    -0.41   0.679    -.3775359    .2457815
     _Istateicps_14 |  -.6410433   .1644978    -3.90   0.000    -.9636247   -.3184618
     _Istateicps_21 |  -.0317882    .203547    -0.16   0.876    -.4309456    .3673692
     _Istateicps_22 |  -.3818149   .1932128    -1.98   0.048    -.7607069   -.0029229
     _Istateicps_23 |  -.2852551   .2232503    -1.28   0.201    -.7230508    .1525406
     _Istateicps_24 |  -.3590735   .1926847    -1.86   0.063    -.7369297    .0187827
     _Istateicps_25 |   .0115781   .2626636     0.04   0.965    -.5035074    .5266636
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.3314276   .1828898    -1.81   0.070     -.690076    .0272208
     _Istateicps_41 |     .02769   .1820293     0.15   0.879    -.3292709    .3846509
     _Istateicps_42 |  -.9414548   .1841095    -5.11   0.000    -1.302495   -.5804145
     _Istateicps_43 |   .2302479   .2227432     1.03   0.301    -.2065533    .6670492
     _Istateicps_44 |   .0326365    .183305     0.18   0.859    -.3268261     .392099
     _Istateicps_45 |  -.7355506   .1804745    -4.08   0.000    -1.089463   -.3816387
     _Istateicps_46 |   .0292311   .1920808     0.15   0.879    -.3474408    .4059031
     _Istateicps_47 |  -.2581259   .1761854    -1.47   0.143    -.6036269    .0873752
     _Istateicps_48 |  -.4222961    .193297    -2.18   0.029    -.8013531   -.0432391
     _Istateicps_49 |   1.070501   .1863693     5.74   0.000     .7050296    1.435973
     _Istateicps_51 |  -.3180441   .1771939    -1.79   0.073    -.6655228    .0294345
     _Istateicps_52 |  -.6701615   .2328637    -2.88   0.004    -1.126809   -.2135139
     _Istateicps_53 |   .2905578   .1874741     1.55   0.121    -.0770806    .6581961
     _Istateicps_54 |  -.3007666   .1751095    -1.72   0.086    -.6441577    .0426245
     _Istateicps_56 |  -.2712188   .1833089    -1.48   0.139    -.6306891    .0882515
     _Istateicps_61 |  -.9628048   .3069335    -3.14   0.002    -1.564704   -.3609056
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |    .063961   .2637903     0.24   0.808    -.4533339    .5812559
     _Istateicps_64 |   1.336183   .2788972     4.79   0.000     .7892635    1.883103
     _Istateicps_65 |  -.4149235   .4208383    -0.99   0.324    -1.240191    .4103439
     _Istateicps_66 |  -.1276602   .2705371    -0.47   0.637    -.6581857    .4028652
     _Istateicps_67 |  -.4502307   .2696873    -1.67   0.095    -.9790898    .0786283
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .5152609   .2905524     1.77   0.076    -.0545148    1.085037
     _Istateicps_72 |   .1998441   .2461725     0.81   0.417    -.2829022    .6825905
     _Istateicps_73 |   .5189294   .2817786     1.84   0.066    -.0336408      1.0715
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.602729   1.197732    -3.84   0.000    -6.951491   -2.253966
-------------------------------------------------------------------------------------
(est4 stored)

.             qui: sum pc1                if e(sample) == 1, d

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

.        local iqr_y       = (r(p75) - r(p25))

. estadd local IQR_Y = string(`iqr_y', "%9.3f")

added macro:
              e(IQR_Y) : "1.658"

.             qui: sum iNDEXP_PC          if e(sample) == 1, d

.        local iqr_x       = (r(p75) - r(p25))

. estadd local IQR_X = string(`iqr_x', "%9.3f")

added macro:
              e(IQR_X) : "0.637"

. 
. 
. esttab using "results/tables/AppTab1A_main-full.tex" ,                                                     ///
>         order(iNDEXP_PC           )                                                                                                ///
>         drop(_cons)                                                                                            ///
>         indicate("State FE (48) = *state*")                                                                        ///
>         mgroups("War bonds" "Volunteers" "Medals" "PCA" , pattern(1 1 1 1 )                                    ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                      ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                   ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                   ///
>     scalars("y_mean_round Mean dependent variable") ///
>         b(%9.3f) se(%9.3f) r2(%9.3f) substitute("\_" "_")                                                                ///
>         nonotes nogaps title("Panel A. New Deal Spending and Patriotism: Full Estimates.}\label{tab:ols_full")
(output written to results/tables/AppTab1A_main-full.tex)

. 
. ***************************************************************************************************
. ****                 Panel B: Breakdown                                                                                ****
. ***************************************************************************************************
. 
. estimates clear

. eststo: xi:  reg iwarbond_1944_PC    iAGRI_PF iSSA_PB iinfra_AL EW_AL    iHOLC_PH iRFC_PC $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(69, 2952)       =     101.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6913
                                                Root MSE          =     .38008

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1255339   .0142125     8.83   0.000     .0976666    .1534012
            iSSA_PB |   .1050814   .0507729     2.07   0.039     .0055275    .2046353
          iinfra_AL |    .057623   .0129981     4.43   0.000     .0321366    .0831093
              EW_AL |  -.0356285   .1200951    -0.30   0.767    -.2711071    .1998501
           iHOLC_PH |   .0906405   .0115444     7.85   0.000     .0680045    .1132765
            iRFC_PC |   .0204187   .0068314     2.99   0.003      .007024    .0338134
         ww1_vol_sh |  -.0202973   .0341511    -0.59   0.552    -.0872596    .0466651
ww1_awards_pop10_is |   .1706048   .0773613     2.21   0.028     .0189172    .3222924
             lpop30 |  -.0382872   .0234046    -1.64   0.102    -.0841783    .0076039
           c30unemp |  -.3646985   .2532708    -1.44   0.150    -.8613037    .1319067
          c30urban1 |   .0221926   .0206956     1.07   0.284    -.0183866    .0627718
            c30farm |  -.4374986   .1441792    -3.03   0.002    -.7202004   -.1547967
            iYf_T29 |   .0277605   .0195643     1.42   0.156    -.0106006    .0661216
           MEAN9628 |   .0010941   .0009143     1.20   0.232    -.0006986    .0028867
             c30men |  -1.075938   .6900909    -1.56   0.119    -2.429046    .2771699
           c30black |   -.267499   .0958232    -2.79   0.005     -.455386    -.079612
             c30jap |    4.72583   1.955294     2.42   0.016     .8919521    8.559707
             c30deu |   .7322721   .2043548     3.58   0.000     .3315797    1.132964
             c30ita |   .2654517   .4745262     0.56   0.576     -.664984    1.195887
             c30vet |  -.1121537   .7887507    -0.14   0.887    -1.658711    1.434403
           lc40wage |   .3902191   .0555612     7.02   0.000     .2812765    .4991616
      iwarconpro_PC |   .2809411   .0222998    12.60   0.000     .2372163    .3246659
      _Istateicps_2 |  -.0248208   .1368182    -0.18   0.856    -.2930895    .2434478
      _Istateicps_3 |   -.181523   .1286913    -1.41   0.158    -.4338567    .0708108
      _Istateicps_4 |   .1170015   .1763113     0.66   0.507    -.2287041    .4627071
      _Istateicps_5 |  -.2826817   .3678827    -0.77   0.442    -1.004014    .4386509
      _Istateicps_6 |  -.0493597   .1282497    -0.38   0.700    -.3008276    .2021082
     _Istateicps_11 |   .2369005   .1464294     1.62   0.106    -.0502137    .5240146
     _Istateicps_12 |  -.0665443   .1163753    -0.57   0.567    -.2947292    .1616407
     _Istateicps_13 |   .0305803   .1008768     0.30   0.762    -.1672157    .2283764
     _Istateicps_14 |   .1555212   .1008484     1.54   0.123     -.042219    .3532615
     _Istateicps_21 |   .0720493   .1078613     0.67   0.504    -.1394416    .2835403
     _Istateicps_22 |    .038182   .1082847     0.35   0.724    -.1741392    .2505032
     _Istateicps_23 |  -.0513426   .1089132    -0.47   0.637    -.2648961     .162211
     _Istateicps_24 |  -.1053683   .1127627    -0.93   0.350    -.3264699    .1157332
     _Istateicps_25 |  -.0595726   .1180873    -0.50   0.614    -.2911143    .1719691
     _Istateicps_31 |   .4614346   .1107201     4.17   0.000     .2443383     .678531
     _Istateicps_32 |   .4046152   .1196072     3.38   0.001     .1700933    .6391372
     _Istateicps_33 |   .1965961    .124388     1.58   0.114       -.0473    .4404922
     _Istateicps_34 |   -.000824   .1082142    -0.01   0.994    -.2130069    .2113589
     _Istateicps_35 |   .3533847    .116008     3.05   0.002       .12592    .5808494
     _Istateicps_36 |   .5014135   .1347427     3.72   0.000     .2372143    .7656126
     _Istateicps_37 |   .2400154   .1238096     1.94   0.053    -.0027466    .4827773
     _Istateicps_40 |   .3775629   .2046442     1.84   0.065    -.0236969    .7788228
     _Istateicps_41 |   .1425664   .1458875     0.98   0.329    -.1434852    .4286179
     _Istateicps_42 |  -.2808073   .1429479    -1.96   0.050     -.561095   -.0005196
     _Istateicps_43 |   .0225701   .1312657     0.17   0.863    -.2348114    .2799516
     _Istateicps_44 |  -.0725198   .1522713    -0.48   0.634    -.3710885    .2260489
     _Istateicps_45 |  -.1912105   .1268887    -1.51   0.132    -.4400097    .0575887
     _Istateicps_46 |   .0969428    .163286     0.59   0.553    -.2232232    .4171088
     _Istateicps_47 |   .0367379   .1430891     0.26   0.797    -.2438266    .3173025
     _Istateicps_48 |  -.1990805   .1621758    -1.23   0.220    -.5170696    .1189086
     _Istateicps_49 |   .0645931   .1126813     0.57   0.567    -.1563489     .285535
     _Istateicps_51 |  -.1459769   .1227334    -1.19   0.234    -.3866287    .0946748
     _Istateicps_52 |  -.1145793    .139638    -0.82   0.412     -.388377    .1592184
     _Istateicps_53 |  -.0328742   .1135613    -0.29   0.772    -.2555414    .1897931
     _Istateicps_54 |    -.00519   .1372057    -0.04   0.970    -.2742184    .2638385
     _Istateicps_56 |   -.035692   .1182906    -0.30   0.763    -.2676324    .1962484
     _Istateicps_61 |  -.1188999   .1447878    -0.82   0.412    -.4027952    .1649955
     _Istateicps_62 |  -.1159507   .1175094    -0.99   0.324    -.3463594    .1144579
     _Istateicps_63 |   .0054319   .1309786     0.04   0.967    -.2513868    .2622506
     _Istateicps_64 |   .4211196   .1247075     3.38   0.001     .1765972     .665642
     _Istateicps_65 |  -.0821553   .1687372    -0.49   0.626    -.4130098    .2486993
     _Istateicps_66 |  -.2174886   .1453623    -1.50   0.135    -.5025104    .0675331
     _Istateicps_67 |  -.2639983    .127073    -2.08   0.038     -.513159   -.0148377
     _Istateicps_68 |   .1169437   .1246369     0.94   0.348    -.1274403    .3613277
     _Istateicps_71 |   .0368372   .1211609     0.30   0.761    -.2007312    .2744056
     _Istateicps_72 |   .5190004   .1212057     4.28   0.000     .2813441    .7566566
     _Istateicps_73 |   .3496281    .151357     2.31   0.021     .0528522     .646404
     _Istateicps_98 |          0  (omitted)
              _cons |   .8780998   .7852569     1.12   0.264    -.6616068    2.417806
-------------------------------------------------------------------------------------
(est1 stored)

.             qui: sum iwarbond_1944_PC   if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  reg ww2_vol_pop40       iAGRI_PF iSSA_PB iinfra_AL EW_AL    iHOLC_PH iRFC_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(60, 2268)       =      70.09
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6304
                                                Root MSE          =      .2105

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0304224   .0074215     4.10   0.000     .0158688    .0449761
            iSSA_PB |    .029447   .0150759     1.95   0.051     -.000117     .059011
          iinfra_AL |  -.0069517   .0044457    -1.56   0.118    -.0156698    .0017664
              EW_AL |    .029517    .076611     0.39   0.700     -.120718    .1797521
           iHOLC_PH |   .0345502   .0066241     5.22   0.000     .0215602    .0475402
            iRFC_PC |  -.0011977   .0042612    -0.28   0.779     -.009554    .0071586
         ww1_vol_sh |    .104887   .0265989     3.94   0.000     .0527263    .1570478
ww1_awards_pop10_is |   .1118636   .0963528     1.16   0.246    -.0770852    .3008125
             lpop30 |  -.0221518   .0109301    -2.03   0.043    -.0435859   -.0007178
           c30unemp |   .5654461    .199575     2.83   0.005     .1740775    .9568148
          c30urban1 |  -.0011914   .0129168    -0.09   0.927    -.0265213    .0241385
            c30farm |  -.0581636   .0542946    -1.07   0.284    -.1646358    .0483086
            iYf_T29 |  -.0373318   .0117059    -3.19   0.001    -.0602871   -.0143765
           MEAN9628 |  -.0007018   .0005307    -1.32   0.186    -.0017426     .000339
             c30men |    -.87069   .5168996    -1.68   0.092    -1.884336    .1429555
           c30black |  -.4131071   .0412229   -10.02   0.000    -.4939457   -.3322685
             c30jap |   .4228907     1.2721     0.33   0.740    -2.071711    2.917493
             c30deu |  -.6166827   .1533718    -4.02   0.000    -.9174463   -.3159191
             c30ita |  -.2243205   .2348738    -0.96   0.340    -.6849105    .2362696
             c30vet |    1.01298   .3106782     3.26   0.001      .403737    1.622223
           lc40wage |   .2059947    .034531     5.97   0.000      .138279    .2737104
      iwarconpro_PC |   -.034218   .0076849    -4.45   0.000    -.0492882   -.0191478
      _Istateicps_2 |   .0180089   .0567387     0.32   0.751    -.0932563    .1292741
      _Istateicps_3 |   .0284389   .0544422     0.52   0.601    -.0783228    .1352005
      _Istateicps_4 |   .2569161   .0805067     3.19   0.001     .0990417    .4147905
      _Istateicps_5 |  -.0065722   .0579732    -0.11   0.910    -.1202582    .1071138
      _Istateicps_6 |   .2875111   .0762592     3.77   0.000      .137966    .4370562
     _Istateicps_11 |  -.1765995   .0583322    -3.03   0.002    -.2909895   -.0622095
     _Istateicps_12 |  -.0996213   .0499435    -1.99   0.046     -.197561   -.0016817
     _Istateicps_13 |    .049757   .0499116     1.00   0.319    -.0481201    .1476341
     _Istateicps_14 |  -.1876922    .048138    -3.90   0.000    -.2820913   -.0932931
     _Istateicps_21 |  -.0031855   .0528198    -0.06   0.952    -.1067657    .1003946
     _Istateicps_22 |  -.1090453   .0510877    -2.13   0.033    -.2092288   -.0088618
     _Istateicps_23 |  -.0657129    .057411    -1.14   0.252    -.1782965    .0468708
     _Istateicps_24 |  -.1362186   .0519052    -2.62   0.009    -.2380052   -.0344321
     _Istateicps_25 |   .1382551   .0623805     2.22   0.027     .0159263     .260584
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0756498   .0691132    -1.09   0.274    -.2111815    .0598818
     _Istateicps_41 |   .1072229   .0587246     1.83   0.068    -.0079368    .2223825
     _Istateicps_42 |   -.235946   .0546361    -4.32   0.000    -.3430879    -.128804
     _Istateicps_43 |   .1856626   .0604391     3.07   0.002     .0671408    .3041844
     _Istateicps_44 |   .1754124   .0582291     3.01   0.003     .0612245    .2896003
     _Istateicps_45 |  -.1916801   .0531357    -3.61   0.000    -.2958798   -.0874803
     _Istateicps_46 |   .1598956   .0607727     2.63   0.009     .0407197    .2790715
     _Istateicps_47 |   .0064216   .0556108     0.12   0.908    -.1026317    .1154749
     _Istateicps_48 |   .0941707   .0611898     1.54   0.124    -.0258231    .2141646
     _Istateicps_49 |    .495914   .0556973     8.90   0.000     .3866911     .605137
     _Istateicps_51 |   .0577689   .0538597     1.07   0.284    -.0478505    .1633882
     _Istateicps_52 |  -.3034048   .0545473    -5.56   0.000    -.4103727   -.1964369
     _Istateicps_53 |   .0688139   .0585188     1.18   0.240     -.045942    .1835698
     _Istateicps_54 |  -.0135535   .0575702    -0.24   0.814    -.1264494    .0993423
     _Istateicps_56 |   .0749189   .0581606     1.29   0.198    -.0391347    .1889726
     _Istateicps_61 |  -.5321214   .0654002    -8.14   0.000    -.6603719   -.4038709
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1271466   .0636277    -2.00   0.046    -.2519213    -.002372
     _Istateicps_64 |   .0971533   .0660315     1.47   0.141    -.0323351    .2266416
     _Istateicps_65 |  -.2082371   .0888214    -2.34   0.019    -.3824169   -.0340573
     _Istateicps_66 |   .0848446   .0688331     1.23   0.218    -.0501379    .2198271
     _Istateicps_67 |   -.272057   .0628628    -4.33   0.000    -.3953317   -.1487824
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0260394   .0703169    -0.37   0.711    -.1639315    .1118527
     _Istateicps_72 |  -.1755773   .0637355    -2.75   0.006    -.3005632   -.0505913
     _Istateicps_73 |   .0043172     .06442     0.07   0.947    -.1220111    .1306454
     _Istateicps_98 |          0  (omitted)
              _cons |   -.410328   .3689215    -1.11   0.266    -1.133787    .3131309
-------------------------------------------------------------------------------------
(est2 stored)

.             qui: sum ww2_vol_pop40      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is iAGRI_PF iSSA_PB iinfra_AL EW_AL    iHOLC_PH iRFC_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(60, 2268)       =      11.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1937
                                                Root MSE          =     .11612

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0108331   .0039901     2.71   0.007     .0030085    .0186578
            iSSA_PB |   .0091705   .0070694     1.30   0.195    -.0046928    .0230338
          iinfra_AL |   .0064884   .0034451     1.88   0.060    -.0002675    .0132442
              EW_AL |   .0057755   .0493499     0.12   0.907    -.0910003    .1025512
           iHOLC_PH |   .0099533   .0039843     2.50   0.013     .0021401    .0177665
            iRFC_PC |  -.0022119   .0027733    -0.80   0.425    -.0076504    .0032266
         ww1_vol_sh |   .0544753   .0207392     2.63   0.009     .0138055    .0951452
ww1_awards_pop10_is |   .0314483   .0341132     0.92   0.357    -.0354482    .0983447
             lpop30 |  -.0171824   .0121532    -1.41   0.158     -.041015    .0066503
           c30unemp |   .1507619   .1579277     0.95   0.340     -.158936    .4604599
          c30urban1 |   .0030656   .0064158     0.48   0.633    -.0095159    .0156472
            c30farm |   .0320545   .0264019     1.21   0.225    -.0197199    .0838289
            iYf_T29 |   .0103775   .0096027     1.08   0.280    -.0084534    .0292085
           MEAN9628 |  -.0001791   .0003362    -0.53   0.594    -.0008383    .0004801
             c30men |  -.5124318   .2729317    -1.88   0.061    -1.047654    .0227902
           c30black |   -.049341   .0219526    -2.25   0.025    -.0923903   -.0062918
             c30jap |   .8099383    1.31834     0.61   0.539    -1.775341    3.395217
             c30deu |   .0701456   .1201067     0.58   0.559    -.1653848    .3056761
             c30ita |   .0292398   .1613096     0.18   0.856    -.2870901    .3455696
             c30vet |   .2400354   .1082788     2.22   0.027     .0276996    .4523713
           lc40wage |   .0479974   .0184441     2.60   0.009     .0118284    .0841665
      iwarconpro_PC |    .004513   .0045254     1.00   0.319    -.0043613    .0133873
      _Istateicps_2 |  -.0209562   .0324412    -0.65   0.518    -.0845737    .0426613
      _Istateicps_3 |  -.0039797   .0216113    -0.18   0.854    -.0463598    .0384003
      _Istateicps_4 |  -.0165477   .0383508    -0.43   0.666     -.091754    .0586586
      _Istateicps_5 |   .0545871   .0538801     1.01   0.311    -.0510724    .1602465
      _Istateicps_6 |  -.0257876   .0378206    -0.68   0.495    -.0999541    .0483789
     _Istateicps_11 |  -.0526415   .0277965    -1.89   0.058    -.1071508    .0018678
     _Istateicps_12 |  -.0328481   .0220468    -1.49   0.136    -.0760822    .0103859
     _Istateicps_13 |  -.0035108   .0211023    -0.17   0.868    -.0448926    .0378711
     _Istateicps_14 |  -.0217785   .0211541    -1.03   0.303    -.0632619    .0197049
     _Istateicps_21 |  -.0439752   .0269456    -1.63   0.103    -.0968158    .0088653
     _Istateicps_22 |  -.0638696   .0263685    -2.42   0.016    -.1155785   -.0121606
     _Istateicps_23 |  -.0408644   .0307903    -1.33   0.185    -.1012445    .0195156
     _Istateicps_24 |  -.0299064   .0269254    -1.11   0.267    -.0827074    .0228946
     _Istateicps_25 |  -.0817802   .0394531    -2.07   0.038    -.1591481   -.0044124
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0050742   .0335706     0.15   0.880    -.0607581    .0709064
     _Istateicps_41 |  -.0159586   .0273951    -0.58   0.560    -.0696806    .0377635
     _Istateicps_42 |  -.0314911   .0254642    -1.24   0.216    -.0814267    .0184446
     _Istateicps_43 |   .0113958   .0312761     0.36   0.716    -.0499369    .0727285
     _Istateicps_44 |   -.027923   .0272374    -1.03   0.305    -.0813358    .0254898
     _Istateicps_45 |  -.0198301   .0251709    -0.79   0.431    -.0691905    .0295302
     _Istateicps_46 |   .0152721   .0296521     0.52   0.607     -.042876    .0734203
     _Istateicps_47 |  -.0298913   .0255827    -1.17   0.243    -.0800592    .0202766
     _Istateicps_48 |  -.0104346   .0300966    -0.35   0.729    -.0694544    .0485852
     _Istateicps_49 |  -.0014039   .0238287    -0.06   0.953    -.0481323    .0453245
     _Istateicps_51 |  -.0166342   .0244039    -0.68   0.496    -.0644906    .0312221
     _Istateicps_52 |  -.0273941   .0334078    -0.82   0.412    -.0929072     .038119
     _Istateicps_53 |  -.0306614   .0265682    -1.15   0.249    -.0827618     .021439
     _Istateicps_54 |  -.0152357    .025333    -0.60   0.548    -.0649141    .0344427
     _Istateicps_56 |  -.0084792   .0255042    -0.33   0.740    -.0584932    .0415348
     _Istateicps_61 |   .0060158    .044039     0.14   0.891    -.0803451    .0923766
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0080286   .0417593    -0.19   0.848     -.089919    .0738618
     _Istateicps_64 |   .1023384   .0441614     2.32   0.021     .0157374    .1889393
     _Istateicps_65 |  -.0087957   .0595979    -0.15   0.883    -.1256678    .1080765
     _Istateicps_66 |  -.0087652    .031456    -0.28   0.781    -.0704507    .0529203
     _Istateicps_67 |  -.0077164   .0411847    -0.19   0.851    -.0884801    .0730473
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0605903   .0551571     1.10   0.272    -.0475734    .1687541
     _Istateicps_72 |  -.0117161   .0376439    -0.31   0.756    -.0855362    .0621039
     _Istateicps_73 |   .0217024   .0360232     0.60   0.547    -.0489394    .0923442
     _Istateicps_98 |          0  (omitted)
              _cons |   .0003774   .2052617     0.00   0.999     -.402143    .4028978
-------------------------------------------------------------------------------------
(est3 stored)

.             qui: sum ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                 iAGRI_PF iSSA_PB iinfra_AL EW_AL    iHOLC_PH iRFC_PC $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(60, 2268)       =     101.70
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6664
                                                Root MSE          =     .73549

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1879181   .0261458     7.19   0.000     .1366459    .2391902
            iSSA_PB |   .1376385   .0473361     2.91   0.004      .044812     .230465
          iinfra_AL |   .0504551   .0198326     2.54   0.011     .0115631    .0893471
              EW_AL |   .0351057   .2996198     0.12   0.907    -.5524518    .6226632
           iHOLC_PH |    .167161   .0260024     6.43   0.000     .1161699    .2181521
            iRFC_PC |   .0094373   .0164076     0.58   0.565    -.0227382    .0416129
         ww1_vol_sh |   .4204961   .1159379     3.63   0.000     .1931406    .6478516
ww1_awards_pop10_is |   .4986933   .2546567     1.96   0.050    -.0006912    .9980778
             lpop30 |  -.1778627   .0633636    -2.81   0.005    -.3021193    -.053606
           c30unemp |   1.514913   .8877337     1.71   0.088     -.225942    3.255768
          c30urban1 |   .0697799   .0427555     1.63   0.103    -.0140641     .153624
            c30farm |  -.2720525   .1789074    -1.52   0.128    -.6228917    .0787867
            iYf_T29 |   .0129911   .0549356     0.24   0.813    -.0947381    .1207204
           MEAN9628 |   .0003874   .0019585     0.20   0.843    -.0034532    .0042281
             c30men |   -5.40404   1.568313    -3.45   0.001    -8.479518   -2.328563
           c30black |   -1.14983   .1499295    -7.67   0.000    -1.443843   -.8558163
             c30jap |   9.781422   7.034764     1.39   0.165    -4.013823    23.57667
             c30deu |   .1769601   .6640829     0.27   0.790    -1.125313    1.479234
             c30ita |  -.0420831   1.025318    -0.04   0.967    -2.052743    1.968576
             c30vet |   3.380947   .7841292     4.31   0.000     1.843261    4.918633
           lc40wage |    .942287    .125016     7.54   0.000     .6971293    1.187445
      iwarconpro_PC |   .2332027   .0312507     7.46   0.000     .1719197    .2944857
      _Istateicps_2 |  -.1021782   .2047465    -0.50   0.618    -.5036883    .2993319
      _Istateicps_3 |  -.0880236   .1952246    -0.45   0.652    -.4708611     .294814
      _Istateicps_4 |    .421056   .2795858     1.51   0.132    -.1272146    .9693266
      _Istateicps_5 |  -.0756511   .4632952    -0.16   0.870    -.9841779    .8328757
      _Istateicps_6 |   .3476426   .2570402     1.35   0.176    -.1564159    .8517011
     _Istateicps_11 |  -.2544167    .186846    -1.36   0.173    -.6208237    .1119903
     _Istateicps_12 |  -.3701948   .1652036    -2.24   0.025    -.6941608   -.0462288
     _Istateicps_13 |   .0965571   .1595195     0.61   0.545    -.2162624    .4093766
     _Istateicps_14 |  -.2747081   .1580746    -1.74   0.082    -.5846939    .0352778
     _Istateicps_21 |   -.090142   .1822842    -0.49   0.621    -.4476032    .2673192
     _Istateicps_22 |  -.4183516   .1808272    -2.31   0.021    -.7729557   -.0637475
     _Istateicps_23 |  -.2953574   .2045938    -1.44   0.149     -.696568    .1058532
     _Istateicps_24 |  -.4090297   .1841374    -2.22   0.026     -.770125   -.0479344
     _Istateicps_25 |  -.1400885    .239552    -0.58   0.559    -.6098525    .3296755
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .1039744   .2324263     0.45   0.655    -.3518161    .5597649
     _Istateicps_41 |   .2017329   .1949446     1.03   0.301    -.1805555    .5840212
     _Istateicps_42 |  -.8072379   .1890112    -4.27   0.000    -1.177891   -.4365849
     _Istateicps_43 |   .3550872    .215816     1.65   0.100    -.0681302    .7783047
     _Istateicps_44 |   .0693568   .1965251     0.35   0.724     -.316031    .4547445
     _Istateicps_45 |  -.6047411   .1827527    -3.31   0.001     -.963121   -.2463611
     _Istateicps_46 |   .3336885   .2073704     1.61   0.108    -.0729669     .740344
     _Istateicps_47 |  -.1176605   .1902855    -0.62   0.536    -.4908123    .2554912
     _Istateicps_48 |  -.1386447   .2100387    -0.66   0.509    -.5505327    .2732433
     _Istateicps_49 |   .9148999   .1804562     5.07   0.000     .5610234    1.268776
     _Istateicps_51 |  -.1032152   .1794847    -0.58   0.565    -.4551865    .2487561
     _Istateicps_52 |  -.7053236   .2296791    -3.07   0.002    -1.155727   -.2549204
     _Istateicps_53 |   .0374856    .189428     0.20   0.843    -.3339846    .4089559
     _Istateicps_54 |  -.1173089    .186364    -0.63   0.529    -.4827707    .2481529
     _Istateicps_56 |   .0354448   .1893524     0.19   0.852    -.3358773    .4067668
     _Istateicps_61 |  -.9283373    .288949    -3.21   0.001    -1.494969   -.3617053
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1857742   .2479332    -0.75   0.454    -.6719738    .3004253
     _Istateicps_64 |   1.041502   .2456029     4.24   0.000      .559872    1.523132
     _Istateicps_65 |  -.4230489   .3664968    -1.15   0.248    -1.141753    .2956552
     _Istateicps_66 |  -.0713089   .2447182    -0.29   0.771     -.551204    .4085861
     _Istateicps_67 |  -.6569037   .2537122    -2.59   0.010    -1.154436   -.1593713
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3004678     .30631     0.98   0.327    -.3002093    .9011449
     _Istateicps_72 |   .1100348   .2335577     0.47   0.638    -.3479743    .5680438
     _Istateicps_73 |   .4517452   .2621411     1.72   0.085    -.0623163    .9658067
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.923569   1.306218    -3.77   0.000    -7.485076   -2.362062
-------------------------------------------------------------------------------------
(est4 stored)

.             qui: sum pc1                if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. esttab using "results/tables/AppTab1B_main-full.tex" ,                                                     ///
>         order(iAGRI_PF iSSA_PB iinfra_AL EW_AL    iHOLC_PH iRFC_PC       )                                                     ///
>         drop(_cons)                                                                                            ///
>         indicate("State FE (48) = *state*")                                                                        ///
>         mgroups("War bonds" "Volunteers" "Medals" "PCA" , pattern(1 1 1 1 )                                    ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                      ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                   ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                   ///
>     scalars("y_mean_round Mean dependent variable" )                                                       ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                                           ///
>         nonotes nogaps title(Panel B. New Deal Spending and Patriotism: Full Estimates.)
(output written to results/tables/AppTab1B_main-full.tex)

.         
. 
.         
. ***************************************************************************************************
. ****         Tab 2.  Identification                                                                                ****
. ***************************************************************************************************
. estimates clear

. eststo: xi:  reg iAGRI_PF             iSUM3MO_DROUGHT3340 iAGRI_T73 $control               if sample_ols == 1                      , cluster(C
> LIMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(65, 338)        =      90.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5789
                                                Root MSE          =     .69411

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2862852   .0597948     4.79   0.000     .1686683    .4039021
          iAGRI_T73 |   .2998687   .0796153     3.77   0.000     .1432648    .4564726
         ww1_vol_sh |   .0007242   .0803196     0.01   0.993     -.157265    .1587134
ww1_awards_pop10_is |   .0663441   .1506976     0.44   0.660    -.2300792    .3627673
             lpop30 |  -.1676359   .0422814    -3.96   0.000    -.2508037   -.0844682
           c30unemp |  -1.472645   .6194849    -2.38   0.018    -2.691176   -.2541135
          c30urban1 |    .148546   .0433082     3.43   0.001     .0633586    .2337335
            c30farm |   .3298366   .3020545     1.09   0.276    -.2643068    .9239799
            iYf_T29 |   .2837307   .0720697     3.94   0.000     .1419692    .4254923
           MEAN9628 |   .0086956   .0030049     2.89   0.004     .0027849    .0146062
             c30men |  -1.236684   1.645347    -0.75   0.453    -4.473094    1.999726
           c30black |  -.1929355   .2900599    -0.67   0.506    -.7634854    .3776144
             c30jap |   .2245796   4.425876     0.05   0.960     -8.48115    8.930309
             c30deu |   .6237568   .6041074     1.03   0.303    -.5645269    1.812041
             c30ita |  -1.332877   1.008913    -1.32   0.187    -3.317417    .6516626
             c30vet |   1.575608   .6982832     2.26   0.025     .2020798    2.949136
           lc40wage |   .0803572   .1457565     0.55   0.582    -.2063469    .3670614
      iwarconpro_PC |  -.0118192   .0289969    -0.41   0.684    -.0688563    .0452178
      _Istateicps_2 |   -1.43588   .3440033    -4.17   0.000    -2.112537   -.7592234
      _Istateicps_3 |  -.0402589   .1288011    -0.31   0.755    -.2936116    .2130937
      _Istateicps_4 |  -1.379023   .1627279    -8.47   0.000     -1.69911   -1.058936
      _Istateicps_5 |  -.2991819   .1135336    -2.64   0.009    -.5225034   -.0758604
      _Istateicps_6 |  -1.034047   .1998951    -5.17   0.000    -1.427242   -.6408521
     _Istateicps_11 |  -.4316568   .3317822    -1.30   0.194    -1.084275    .2209612
     _Istateicps_12 |  -.2870182    .179687    -1.60   0.111    -.6404639    .0664275
     _Istateicps_13 |  -1.216242   .1933922    -6.29   0.000    -1.596646   -.8358382
     _Istateicps_14 |  -1.243835    .174084    -7.15   0.000    -1.586259   -.9014102
     _Istateicps_21 |   -.253832   .2816172    -0.90   0.368    -.8077752    .3001111
     _Istateicps_22 |  -.5909109    .264616    -2.23   0.026    -1.111412   -.0704094
     _Istateicps_23 |  -.8642328   .2411458    -3.58   0.000    -1.338568   -.3898972
     _Istateicps_24 |  -.8508278   .2307256    -3.69   0.000    -1.304667   -.3969888
     _Istateicps_25 |  -.5773775   .2544462    -2.27   0.024    -1.077875   -.0768799
     _Istateicps_31 |  -.0240282   .2416335    -0.10   0.921    -.4993231    .4512667
     _Istateicps_32 |   .1105492   .3310292     0.33   0.739    -.5405877     .761686
     _Istateicps_33 |  -.2921672   .3132663    -0.93   0.352    -.9083643    .3240299
     _Istateicps_34 |  -.7874665   .2629334    -2.99   0.003    -1.304658   -.2702746
     _Istateicps_35 |   .0669056   .3246489     0.21   0.837    -.5716813    .7054924
     _Istateicps_36 |   1.146903   .2682436     4.28   0.000     .6192658     1.67454
     _Istateicps_37 |    .473284   .2917803     1.62   0.106    -.1006499    1.047218
     _Istateicps_40 |  -1.137069   .2008682    -5.66   0.000    -1.532178   -.7419597
     _Istateicps_41 |   -.537975   .1995163    -2.70   0.007     -.930425    -.145525
     _Istateicps_42 |   -1.17143   .2348102    -4.99   0.000    -1.633303   -.7095566
     _Istateicps_43 |  -.8949865   .2968767    -3.01   0.003    -1.478945   -.3110278
     _Istateicps_44 |  -.4848957    .212913    -2.28   0.023    -.9036972   -.0660942
     _Istateicps_45 |  -.5737398   .2966003    -1.93   0.054    -1.157155    .0096752
     _Istateicps_46 |  -1.236151   .2605803    -4.74   0.000    -1.748714   -.7235875
     _Istateicps_47 |  -.6703443    .258279    -2.60   0.010    -1.178381   -.1623076
     _Istateicps_48 |  -.7444691   .2630676    -2.83   0.005    -1.261925   -.2270132
     _Istateicps_49 |   -.029522   .3045483    -0.10   0.923    -.6285707    .5695267
     _Istateicps_51 |  -1.113087   .3840741    -2.90   0.004    -1.868563   -.3576103
     _Istateicps_52 |  -.3495761   .2007273    -1.74   0.082    -.7444082    .0452559
     _Istateicps_53 |  -.4779369   .2867284    -1.67   0.096    -1.041934    .0860599
     _Istateicps_54 |  -1.150328   .2268717    -5.07   0.000    -1.596586   -.7040698
     _Istateicps_56 |  -1.614531   .2369028    -6.82   0.000    -2.080521   -1.148542
     _Istateicps_61 |  -.7580026   .4074942    -1.86   0.064    -1.559547    .0435415
     _Istateicps_62 |  -.8764677   .3085737    -2.84   0.005    -1.483434    -.269501
     _Istateicps_63 |  -.4109925   .3109273    -1.32   0.187    -1.022589    .2006037
     _Istateicps_64 |    .145309   .4018568     0.36   0.718    -.6451463    .9357643
     _Istateicps_65 |  -.6095988   .4038237    -1.51   0.132    -1.403923    .1847254
     _Istateicps_66 |  -.3683481    .403032    -0.91   0.361    -1.161115    .4244188
     _Istateicps_67 |  -.5679013   .2816253    -2.02   0.045     -1.12186   -.0139424
     _Istateicps_68 |   .3464281   .3166121     1.09   0.275    -.2763502    .9692064
     _Istateicps_71 |   .2262248   .2408516     0.94   0.348    -.2475321    .6999816
     _Istateicps_72 |  -.5221794   .3207505    -1.63   0.104    -1.153098    .1087391
     _Istateicps_73 |  -.4120003   .3391093    -1.21   0.225    -1.079031    .2550301
     _Istateicps_98 |          0  (omitted)
              _cons |    6.77447   1.585028     4.27   0.000     3.656708    9.892232
-------------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum iAGRI_PF

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "6.640"

.                 qui: test                    iSUM3MO_DROUGHT3340 iAGRI_T73 

. estadd local F_test       = string(r(F)   , "%9.1f")

added macro:
             e(F_test) : "16.4"

. 
. eststo: xi:  reg iwarbond_1944_PC    iSUM3MO_DROUGHT3340 iAGRI_T73 $control               if sample_ols == 1                      , cluster(CL
> IMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6512
                                                Root MSE          =     .40373

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .1044649    .024325     4.29   0.000     .0566174    .1523125
          iAGRI_T73 |   .1080405   .0297961     3.63   0.000     .0494314    .1666495
         ww1_vol_sh |   .0020974   .0364529     0.06   0.954    -.0696057    .0738004
ww1_awards_pop10_is |   .2162091   .0970899     2.23   0.027     .0252326    .4071856
             lpop30 |  -.0420301   .0288695    -1.46   0.146    -.0988165    .0147564
           c30unemp |  -.6593736   .2813952    -2.34   0.020     -1.21288   -.1058673
          c30urban1 |   .0556669   .0264554     2.10   0.036     .0036291    .1077048
            c30farm |   -.531156   .1406302    -3.78   0.000    -.8077767   -.2545353
            iYf_T29 |   .1034498   .0291666     3.55   0.000     .0460789    .1608207
           MEAN9628 |   .0027323   .0011978     2.28   0.023     .0003763    .0050883
             c30men |  -1.473362   .8331646    -1.77   0.078    -3.112203    .1654789
           c30black |  -.2978921   .1084898    -2.75   0.006    -.5112923   -.0844919
             c30jap |   4.449762   2.193753     2.03   0.043     .1346337    8.764891
             c30deu |   .7477781   .2410961     3.10   0.002     .2735402    1.222016
             c30ita |  -.5103324   .6124979    -0.83   0.405     -1.71512    .6944554
             c30vet |   .1354344   1.028509     0.13   0.895     -1.88765    2.158519
           lc40wage |   .4517525   .0618303     7.31   0.000     .3301318    .5733733
      iwarconpro_PC |   .2753167   .0235696    11.68   0.000     .2289551    .3216783
      _Istateicps_2 |  -.2657758   .0859143    -3.09   0.002    -.4347698   -.0967818
      _Istateicps_3 |  -.1851871   .0687087    -2.70   0.007    -.3203375   -.0500366
      _Istateicps_4 |  -.2262059   .0811012    -2.79   0.006    -.3857325   -.0666793
      _Istateicps_5 |  -.3372538   .0447588    -7.53   0.000    -.4252947   -.2492129
      _Istateicps_6 |  -.1067521   .0929128    -1.15   0.251    -.2895123    .0760081
     _Istateicps_11 |   .2263732   .0688665     3.29   0.001     .0909122    .3618342
     _Istateicps_12 |  -.1176232     .09552    -1.23   0.219    -.3055117    .0702652
     _Istateicps_13 |  -.1958528    .063748    -3.07   0.002    -.3212455     -.07046
     _Istateicps_14 |  -.1252031   .0605922    -2.07   0.040    -.2443883   -.0060178
     _Istateicps_21 |  -.0668244   .0954401    -0.70   0.484    -.2545559     .120907
     _Istateicps_22 |  -.1841347   .0936069    -1.97   0.050    -.3682602   -9.23e-06
     _Istateicps_23 |  -.2458621   .0868613    -2.83   0.005     -.416719   -.0750052
     _Istateicps_24 |  -.2665829   .0822878    -3.24   0.001    -.4284435   -.1047223
     _Istateicps_25 |  -.1769377    .105054    -1.68   0.093    -.3835798    .0297043
     _Istateicps_31 |   .3794777   .1139151     3.33   0.001     .1554058    .6035497
     _Istateicps_32 |   .2237409   .1376465     1.63   0.105    -.0470107    .4944926
     _Istateicps_33 |   .1773892   .1347472     1.32   0.189    -.0876596     .442438
     _Istateicps_34 |  -.2124591   .1087525    -1.95   0.052     -.426376    .0014578
     _Istateicps_35 |   .3549817   .1343497     2.64   0.009     .0907147    .6192486
     _Istateicps_36 |   .6300917   .1514888     4.16   0.000     .3321121    .9280713
     _Istateicps_37 |   .2850514   .1180069     2.42   0.016      .052931    .5171719
     _Istateicps_40 |  -.0668447   .0847766    -0.79   0.431    -.2336009    .0999115
     _Istateicps_41 |  -.0528459   .0868975    -0.61   0.544    -.2237739     .118082
     _Istateicps_42 |  -.6301379   .0986893    -6.39   0.000    -.8242606   -.4360152
     _Istateicps_43 |  -.1211772   .1071348    -1.13   0.259    -.3319121    .0895577
     _Istateicps_44 |  -.2319545   .0827767    -2.80   0.005     -.394777   -.0691321
     _Istateicps_45 |  -.3226247   .1057475    -3.05   0.002    -.5306307   -.1146186
     _Istateicps_46 |  -.2446625   .1111285    -2.20   0.028    -.4632531   -.0260719
     _Istateicps_47 |  -.1796429   .0796706    -2.25   0.025    -.3363556   -.0229303
     _Istateicps_48 |  -.5425539   .1011749    -5.36   0.000    -.7415657    -.343542
     _Istateicps_49 |   .0153169   .1116345     0.14   0.891    -.2042691    .2349028
     _Istateicps_51 |  -.5095732   .1827732    -2.79   0.006    -.8690894    -.150057
     _Istateicps_52 |  -.1201319   .0910622    -1.32   0.188    -.2992518     .058988
     _Istateicps_53 |  -.0999809   .1255259    -0.80   0.426    -.3468913    .1469294
     _Istateicps_54 |  -.3753542    .081714    -4.59   0.000    -.5360862   -.2146221
     _Istateicps_56 |  -.3187274   .0791737    -4.03   0.000    -.4744628   -.1629921
     _Istateicps_61 |  -.1338837   .1451198    -0.92   0.357    -.4193354     .151568
     _Istateicps_62 |  -.1844611   .1197032    -1.54   0.124    -.4199182     .050996
     _Istateicps_63 |  -.0207271   .1338542    -0.15   0.877    -.2840193    .2425651
     _Istateicps_64 |   .4946629   .1691118     2.93   0.004     .1620188     .827307
     _Istateicps_65 |  -.0156162   .1628967    -0.10   0.924    -.3360351    .3048028
     _Istateicps_66 |  -.3300368   .1736755    -1.90   0.058    -.6716577    .0115841
     _Istateicps_67 |   -.259308   .1116222    -2.32   0.021    -.4788698   -.0397463
     _Istateicps_68 |    .302222    .137172     2.20   0.028     .0324036    .5720403
     _Istateicps_71 |   .1238927   .1056571     1.17   0.242    -.0839356     .331721
     _Istateicps_72 |   .3660657   .1158076     3.16   0.002     .1382712    .5938601
     _Istateicps_73 |   .3295381   .1579401     2.09   0.038     .0188687    .6402074
     _Istateicps_98 |          0  (omitted)
              _cons |   2.526721   .6197981     4.08   0.000     1.307573    3.745868
-------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum iwarbond_1944_PC      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  reg ww2_vol_pop40       iSUM3MO_DROUGHT3340 iAGRI_T73 $control               if sample_ols == 1 & servicecommand != 7, cluster(CL
> IMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6326
                                                Root MSE          =     .20971

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0329353   .0175951     1.87   0.062    -.0017088    .0675793
          iAGRI_T73 |   .0860219   .0296404     2.90   0.004     .0276613    .1443826
         ww1_vol_sh |   .1130801   .0306323     3.69   0.000     .0527664    .1733938
ww1_awards_pop10_is |   .1064834   .0935613     1.14   0.256    -.0777347    .2907015
             lpop30 |  -.0145244   .0119221    -1.22   0.224    -.0379986    .0089497
           c30unemp |   .5222917   .1937675     2.70   0.007     .1407721    .9038114
          c30urban1 |   .0101617   .0120537     0.84   0.400    -.0135715     .033895
            c30farm |  -.1258121   .0511553    -2.46   0.015    -.2265347   -.0250895
            iYf_T29 |  -.0164674   .0161699    -1.02   0.309    -.0483053    .0153705
           MEAN9628 |  -.0004917   .0008085    -0.61   0.544    -.0020836    .0011001
             c30men |    -1.3743   .5281981    -2.60   0.010    -2.414299   -.3343008
           c30black |  -.4260216   .0587571    -7.25   0.000    -.5417117   -.3103315
             c30jap |  -.0034897    1.72576    -0.00   0.998    -3.401435    3.394456
             c30deu |  -.7035296   .2265722    -3.11   0.002     -1.14964   -.2574188
             c30ita |  -.3215662   .2668771    -1.20   0.229    -.8470355     .203903
             c30vet |   1.085309   .2875075     3.77   0.000     .5192192    1.651399
           lc40wage |   .1889381   .0363711     5.19   0.000      .117325    .2605512
      iwarconpro_PC |  -.0347172    .007519    -4.62   0.000    -.0495218   -.0199127
      _Istateicps_2 |  -.0702053   .0687667    -1.02   0.308    -.2056039    .0651933
      _Istateicps_3 |   .0247341   .0615168     0.40   0.688    -.0963898     .145858
      _Istateicps_4 |   .1492547   .0634771     2.35   0.019     .0242712    .2742383
      _Istateicps_5 |  -.0161633   .0541049    -0.30   0.765    -.1226935     .090367
      _Istateicps_6 |   .2692791   .0669393     4.02   0.000     .1374786    .4010797
     _Istateicps_11 |  -.1809559   .0640584    -2.82   0.005    -.3070841   -.0548276
     _Istateicps_12 |  -.1024822   .0677131    -1.51   0.131    -.2358062    .0308419
     _Istateicps_13 |  -.0277511   .0711003    -0.39   0.697    -.1677446    .1122424
     _Istateicps_14 |  -.2546621   .0626626    -4.06   0.000     -.378042   -.1312822
     _Istateicps_21 |  -.0317785   .0830737    -0.38   0.702    -.1953469      .13179
     _Istateicps_22 |  -.1439841   .0823004    -1.75   0.081    -.3060299    .0180618
     _Istateicps_23 |  -.1099444    .087501    -1.26   0.210      -.28223    .0623412
     _Istateicps_24 |  -.1706729   .0772012    -2.21   0.028    -.3226788    -.018667
     _Istateicps_25 |    .118393   .0899808     1.32   0.189    -.0587753    .2955614
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1688699   .0692587    -2.44   0.015    -.3052372   -.0325026
     _Istateicps_41 |   .0896781   .0774395     1.16   0.248    -.0627969    .2421531
     _Istateicps_42 |  -.3186556   .0825941    -3.86   0.000    -.4812796   -.1560315
     _Istateicps_43 |   .1917461   .0907915     2.11   0.036     .0129817    .3705105
     _Istateicps_44 |   .1642662   .0703968     2.33   0.020      .025658    .3028743
     _Istateicps_45 |  -.1914406   .0740231    -2.59   0.010    -.3371888   -.0456924
     _Istateicps_46 |   .0885733   .0843194     1.05   0.294    -.0774478    .2545945
     _Istateicps_47 |  -.0283112   .0701951    -0.40   0.687    -.1665224       .1099
     _Istateicps_48 |   .0094218   .0931121     0.10   0.919     -.173912    .1927555
     _Istateicps_49 |   .4776769   .0820157     5.82   0.000     .3161917    .6391622
     _Istateicps_51 |  -.0061148   .0816472    -0.07   0.940    -.1668746    .1546449
     _Istateicps_52 |  -.2977252   .0723292    -4.12   0.000    -.4401383   -.1553121
     _Istateicps_53 |   .0896009   .0866352     1.03   0.302    -.0809801    .2601819
     _Istateicps_54 |   -.098141   .1012106    -0.97   0.333    -.2974203    .1011382
     _Istateicps_56 |   .0517802   .0732122     0.71   0.480    -.0923715    .1959319
     _Istateicps_61 |  -.5359364   .0853169    -6.28   0.000    -.7039217   -.3679512
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1087596    .093313    -1.17   0.245    -.2924889    .0749697
     _Istateicps_64 |   .1455702   .0975401     1.49   0.137    -.0464819    .3376224
     _Istateicps_65 |  -.1953069   .1159766    -1.68   0.093    -.4236598     .033046
     _Istateicps_66 |   .0516945   .0889958     0.58   0.562    -.1235343    .2269233
     _Istateicps_67 |  -.2577614   .0844941    -3.05   0.003    -.4241266   -.0913961
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0065531   .0889314     0.07   0.941    -.1685489    .1816552
     _Istateicps_72 |  -.2306826    .091039    -2.53   0.012    -.4099345   -.0514308
     _Istateicps_73 |   .0274225   .0864225     0.32   0.751    -.1427396    .1975845
     _Istateicps_98 |          0  (omitted)
              _cons |   .2345152   .3933879     0.60   0.552    -.5400484    1.009079
-------------------------------------------------------------------------------------
(est3 stored)

.                 qui: sum ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is iSUM3MO_DROUGHT3340 iAGRI_T73 $control               if sample_ols == 1 & servicecommand != 7, cluster(CL
> IMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1879
                                                Root MSE          =     .11643

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0130534   .0040664     3.21   0.001     .0050468      .02106
          iAGRI_T73 |   .0145801   .0068482     2.13   0.034     .0010964    .0280639
         ww1_vol_sh |   .0578215   .0203123     2.85   0.005     .0178276    .0978155
ww1_awards_pop10_is |   .0312307   .0376078     0.83   0.407    -.0428173    .1052787
             lpop30 |  -.0188978   .0136521    -1.38   0.167    -.0457781    .0079826
           c30unemp |   .1284953   .1556418     0.83   0.410    -.1779566    .4349473
          c30urban1 |   .0071167   .0062704     1.13   0.257    -.0052295    .0194629
            c30farm |   .0193387   .0252954     0.76   0.445    -.0304667    .0691442
            iYf_T29 |   .0177234   .0099613     1.78   0.076    -.0018899    .0373367
           MEAN9628 |  -.0000508   .0003639    -0.14   0.889    -.0007673    .0006658
             c30men |  -.5675012   .2236623    -2.54   0.012    -1.007882     -.12712
           c30black |  -.0510801   .0216899    -2.36   0.019    -.0937866   -.0083736
             c30jap |   .6928897   1.285392     0.54   0.590    -1.837991     3.22377
             c30deu |   .0579408   .1359466     0.43   0.670    -.2097321    .3256137
             c30ita |  -.0455644   .1905328    -0.24   0.811    -.4207151    .3295864
             c30vet |   .2649923   .1108526     2.39   0.018     .0467283    .4832562
           lc40wage |   .0524457   .0203014     2.58   0.010     .0124732    .0924182
      iwarconpro_PC |   .0046898   .0044781     1.05   0.296    -.0041275     .013507
      _Istateicps_2 |  -.0479245   .0316194    -1.52   0.131    -.1101818    .0143328
      _Istateicps_3 |   -.005522   .0158305    -0.35   0.728    -.0366915    .0256476
      _Istateicps_4 |  -.0506043   .0259912    -1.95   0.053    -.1017799    .0005712
      _Istateicps_5 |   .0540974   .0138931     3.89   0.000     .0267424    .0814524
      _Istateicps_6 |  -.0374051   .0328148    -1.14   0.255     -.102016    .0272059
     _Istateicps_11 |  -.0499485    .023872    -2.09   0.037    -.0969514   -.0029457
     _Istateicps_12 |  -.0414974   .0138913    -2.99   0.003    -.0688487   -.0141461
     _Istateicps_13 |  -.0313463   .0199333    -1.57   0.117    -.0705941    .0079015
     _Istateicps_14 |  -.0525687   .0193714    -2.71   0.007    -.0907101   -.0144273
     _Istateicps_21 |  -.0672694   .0321625    -2.09   0.037    -.1305959   -.0039429
     _Istateicps_22 |  -.0949741   .0308923    -3.07   0.002    -.1557997   -.0341485
     _Istateicps_23 |  -.0692357   .0359144    -1.93   0.055    -.1399497    .0014783
     _Istateicps_24 |   -.054041   .0287452    -1.88   0.061    -.1106391    .0025571
     _Istateicps_25 |  -.1034816   .0466832    -2.22   0.027    -.1953988   -.0115643
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0324607   .0219633    -1.48   0.141    -.0757054    .0107841
     _Istateicps_41 |  -.0312623   .0201221    -1.55   0.121    -.0708818    .0083572
     _Istateicps_42 |  -.0732262    .021761    -3.37   0.001    -.1160727   -.0303797
     _Istateicps_43 |  -.0015287   .0310503    -0.05   0.961    -.0626653    .0596079
     _Istateicps_44 |  -.0422803   .0222767    -1.90   0.059    -.0861421    .0015815
     _Istateicps_45 |  -.0372826   .0197348    -1.89   0.060    -.0761396    .0015744
     _Istateicps_46 |  -.0201272   .0214695    -0.94   0.349    -.0623998    .0221454
     _Istateicps_47 |   -.047039   .0194013    -2.42   0.016    -.0852394   -.0088387
     _Istateicps_48 |  -.0416117    .023251    -1.79   0.075    -.0873918    .0041684
     _Istateicps_49 |  -.0120568   .0221053    -0.55   0.586    -.0555812    .0314676
     _Istateicps_51 |  -.0550907   .0218732    -2.52   0.012    -.0981581   -.0120232
     _Istateicps_52 |  -.0315381   .0301285    -1.05   0.296    -.0908599    .0277837
     _Istateicps_53 |   -.039367   .0235159    -1.67   0.095    -.0856687    .0069347
     _Istateicps_54 |  -.0547425   .0189968    -2.88   0.004    -.0921464   -.0173387
     _Istateicps_56 |  -.0370984   .0194874    -1.90   0.058    -.0754682    .0012715
     _Istateicps_61 |   .0067279   .0466394     0.14   0.885    -.0851031    .0985589
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.018745   .0447223    -0.42   0.675    -.1068013    .0693114
     _Istateicps_64 |   .1007132   .0670066     1.50   0.134    -.0312199    .2326464
     _Istateicps_65 |  -.0112761   .0608116    -0.19   0.853    -.1310116    .1084593
     _Istateicps_66 |  -.0235089   .0363542    -0.65   0.518    -.0950887    .0480709
     _Istateicps_67 |  -.0134042   .0401519    -0.33   0.739    -.0924615    .0656531
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0618464   .0531292     1.16   0.245    -.0427628    .1664555
     _Istateicps_72 |  -.0404986   .0418042    -0.97   0.334    -.1228093    .0418121
     _Istateicps_73 |   .0128091    .034733     0.37   0.713    -.0555787    .0811969
     _Istateicps_98 |          0  (omitted)
              _cons |   .1792331   .1709717     1.05   0.295    -.1574027    .5158689
-------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum ww2_awards_pop40_is    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                 iSUM3MO_DROUGHT3340 iAGRI_T73 $control               if sample_ols == 1 & servicecommand != 7, cluster(CL
> IMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6528
                                                Root MSE          =      .7497

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2109929   .0498625     4.23   0.000     .1128158    .3091699
          iAGRI_T73 |   .2513821   .0855937     2.94   0.004     .0828519    .4199123
         ww1_vol_sh |   .4736309   .1175736     4.03   0.000     .2421336    .7051281
ww1_awards_pop10_is |   .5113822   .2622427     1.95   0.052    -.0049621    1.027727
             lpop30 |  -.1769056    .069036    -2.56   0.011    -.3128345   -.0409767
           c30unemp |   1.189226    .881241     1.35   0.178    -.5458991    2.924351
          c30urban1 |   .1427418     .04682     3.05   0.003     .0505552    .2349283
            c30farm |  -.5731335   .1984474    -2.89   0.004    -.9638679   -.1823992
            iYf_T29 |   .1451992   .0673904     2.15   0.032     .0125106    .2778879
           MEAN9628 |   .0027565   .0022844     1.21   0.229    -.0017414    .0072544
             c30men |  -6.829491   1.469993    -4.65   0.000    -9.723843    -3.93514
           c30black |  -1.193905    .187515    -6.37   0.000    -1.563114   -.8246963
             c30jap |   7.898893   6.744487     1.17   0.243    -5.380707    21.17849
             c30deu |  -.0100055   .8950549    -0.01   0.991    -1.772329    1.752318
             c30ita |  -1.096473   1.215428    -0.90   0.368    -3.489598    1.296653
             c30vet |   3.818315   .8185806     4.66   0.000     2.206565    5.430064
           lc40wage |   .9745861   .1294861     7.53   0.000     .7196335    1.229539
      iwarconpro_PC |   .2301377   .0335567     6.86   0.000     .1640661    .2962093
      _Istateicps_2 |  -.5157156   .1938352    -2.66   0.008    -.8973686   -.1340626
      _Istateicps_3 |  -.1242735   .1585858    -0.78   0.434    -.4365219     .187975
      _Istateicps_4 |  -.1230119   .1732533    -0.71   0.478    -.4641401    .2181162
      _Istateicps_5 |  -.1389388   .1237052    -1.12   0.262    -.3825089    .1046313
      _Istateicps_6 |   .2556518   .2292638     1.12   0.266    -.1957586    .7070621
     _Istateicps_11 |  -.2587251   .1444633    -1.79   0.074    -.5431671    .0257169
     _Istateicps_12 |  -.4482357   .1256271    -3.57   0.000      -.69559   -.2008814
     _Istateicps_13 |  -.3249377   .1716035    -1.89   0.059    -.6628174    .0129421
     _Istateicps_14 |  -.7226172   .1611123    -4.49   0.000     -1.03984    -.405394
     _Istateicps_21 |   -.396342   .2289507    -1.73   0.085    -.8471359    .0544519
     _Istateicps_22 |  -.8164935   .2348209    -3.48   0.001    -1.278845   -.3541415
     _Istateicps_23 |  -.6738436   .2550326    -2.64   0.009    -1.175992   -.1716956
     _Istateicps_24 |  -.7474275   .2170374    -3.44   0.001    -1.174765   -.3200903
     _Istateicps_25 |  -.3973951   .3036161    -1.31   0.192    -.9952019    .2004116
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    -.43819   .1697817    -2.58   0.010    -.7724828   -.1038972
     _Istateicps_41 |   .0198547   .1806826     0.11   0.913    -.3359014    .3756109
     _Istateicps_42 |  -1.371677   .2066606    -6.64   0.000    -1.778583   -.9647718
     _Istateicps_43 |   .2030777   .2574364     0.79   0.431    -.3038033    .7099586
     _Istateicps_44 |  -.0744048   .1858383    -0.40   0.689    -.4403123    .2915027
     _Istateicps_45 |  -.7610023   .1714671    -4.44   0.000    -1.098614    -.423391
     _Istateicps_46 |  -.1379095   .2074969    -0.66   0.507     -.546462    .2706429
     _Istateicps_47 |  -.3639807   .1840314    -1.98   0.049    -.7263305    -.001631
     _Istateicps_48 |   -.632361   .2129032    -2.97   0.003    -1.051558   -.2131639
     _Istateicps_49 |   .7878648     .22647     3.48   0.001     .3419552    1.233774
     _Istateicps_51 |  -.6390116    .202387    -3.16   0.002    -1.037503   -.2405205
     _Istateicps_52 |  -.7073435   .2391226    -2.96   0.003    -1.178165   -.2365215
     _Istateicps_53 |  -.0857699   .2204194    -0.39   0.697    -.5197661    .3482263
     _Istateicps_54 |  -.6600734   .2073406    -3.18   0.002    -1.068318    -.251829
     _Istateicps_56 |  -.3088694   .1835269    -1.68   0.094    -.6702257     .052487
     _Istateicps_61 |  -.9909381   .3426727    -2.89   0.004    -1.665646   -.3162305
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.3023885   .3061285    -0.99   0.324    -.9051421    .3003651
     _Istateicps_64 |   1.103207   .3734645     2.95   0.003     .3678721    1.838543
     _Istateicps_65 |  -.4237959   .4255819    -1.00   0.320    -1.261748    .4141563
     _Istateicps_66 |  -.2882373   .3022129    -0.95   0.341    -.8832813    .3068067
     _Istateicps_67 |  -.7303856   .2881037    -2.54   0.012    -1.297649    -.163122
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3768838   .2935696     1.28   0.200    -.2011419    .9549094
     _Istateicps_72 |  -.2444381   .2793062    -0.88   0.382    -.7943799    .3055036
     _Istateicps_73 |   .3932247   .2901835     1.36   0.177    -.1781339    .9645832
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.061414   1.174189    -1.76   0.080     -4.37334    .2505121
-------------------------------------------------------------------------------------
(est5 stored)

.                 qui: sum pc1                   if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. 
. esttab using "results/tables/AppTab2_id1.tex" ,                                                                                    ///
>     indicate("State FE (48) = *state*")                                                                                                    ///
>         order(iSUM3MO_DROUGHT3340 iAGRI_T73 ) drop(_cons)                                                                     ///
>         mgroups("Agri support" "War bonds" "Volunteers" "Medals" "PCA" , pattern(1 1 1 1 1 )                                           ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         mlabel("FS" "RF" "RF" "RF" "RF" )                                                                                                     
>  ///
>         scalars("y_mean_round Mean dependent variable" "F_test F-test of excluded instrument" )                                        ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f) substitute("\_" "_")                                                                              ///
>         nogaps title("Panel A. Identification: First Stage and Reduced Form Results: Full Estimates.}\label{tab:id_full") nonotes
(output written to results/tables/AppTab2_id1.tex)

.         
. estimates clear

. eststo: xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1                      , cluster
> (CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   3022
Number of clusters (CLIMDIVX) =    339
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2862852   .0597948     4.79   0.000     .1690414    .4035289
          iAGRI_T73 |   .2998687   .0796153     3.77   0.000     .1437617    .4559758
         ww1_vol_sh |   .0007242   .0803196     0.01   0.993    -.1567638    .1582122
ww1_awards_pop10_is |   .0663441   .1506976     0.44   0.660    -.2291388    .3618269
             lpop30 |  -.1676359   .0422814    -3.96   0.000    -.2505399    -.084732
           c30unemp |  -1.472645   .6194849    -2.38   0.018     -2.68731   -.2579794
          c30urban1 |    .148546   .0433082     3.43   0.001     .0636288    .2334632
            c30farm |   .3298366   .3020545     1.09   0.275    -.2624218     .922095
            iYf_T29 |   .2837307   .0720697     3.94   0.000     .1424189    .4250426
           MEAN9628 |   .0086956   .0030049     2.89   0.004     .0028036    .0145875
             c30men |  -1.236684   1.645347    -0.75   0.452    -4.462826    1.989458
           c30black |  -.1929355   .2900599    -0.67   0.506    -.7616753    .3758043
             c30jap |   .2245796   4.425876     0.05   0.960     -8.45353     8.90269
             c30deu |   .6237568   .6041074     1.03   0.302     -.560757    1.808271
             c30ita |  -1.332877   1.008913    -1.32   0.187    -3.311121    .6453665
             c30vet |   1.575608   .6982832     2.26   0.024     .2064374    2.944778
           lc40wage |   .0803572   .1457565     0.55   0.581    -.2054373    .3661518
      iwarconpro_PC |  -.0118192   .0289969    -0.41   0.684    -.0686754    .0450369
      _Istateicps_2 |   -1.43588   .3440033    -4.17   0.000    -2.110391   -.7613702
      _Istateicps_3 |  -.0402589   .1288011    -0.31   0.755    -.2928078    .2122899
      _Istateicps_4 |  -1.379023   .1627279    -8.47   0.000    -1.698094   -1.059951
      _Istateicps_5 |  -.2991819   .1135336    -2.64   0.008    -.5217949   -.0765689
      _Istateicps_6 |  -1.034047   .1998951    -5.17   0.000    -1.425995   -.6420996
     _Istateicps_11 |  -.4316568   .3317822    -1.30   0.193    -1.082204    .2188907
     _Istateicps_12 |  -.2870182    .179687    -1.60   0.110    -.6393426    .0653061
     _Istateicps_13 |  -1.216242   .1933922    -6.29   0.000    -1.595439   -.8370451
     _Istateicps_14 |  -1.243835    .174084    -7.15   0.000    -1.585173   -.9024966
     _Istateicps_21 |   -.253832   .2816172    -0.90   0.367    -.8060178    .2983537
     _Istateicps_22 |  -.5909109    .264616    -2.23   0.026    -1.109761   -.0720608
     _Istateicps_23 |  -.8642328   .2411458    -3.58   0.000    -1.337064   -.3914021
     _Istateicps_24 |  -.8508278   .2307256    -3.69   0.000    -1.303227   -.3984286
     _Istateicps_25 |  -.5773775   .2544462    -2.27   0.023    -1.076287   -.0784677
     _Istateicps_31 |  -.0240282   .2416335    -0.10   0.921    -.4978152    .4497588
     _Istateicps_32 |   .1105492   .3310292     0.33   0.738    -.5385219    .7596202
     _Istateicps_33 |  -.2921672   .3132663    -0.93   0.351    -.9064094    .3220749
     _Istateicps_34 |  -.7874665   .2629334    -2.99   0.003    -1.303018   -.2719154
     _Istateicps_35 |   .0669056   .3246489     0.21   0.837    -.5696553    .7034664
     _Istateicps_36 |   1.146903   .2682436     4.28   0.000     .6209397    1.672866
     _Istateicps_37 |    .473284   .2917803     1.62   0.105    -.0988291    1.045397
     _Istateicps_40 |  -1.137069   .2008682    -5.66   0.000    -1.530925   -.7432132
     _Istateicps_41 |   -.537975   .1995163    -2.70   0.007    -.9291799   -.1467701
     _Istateicps_42 |   -1.17143   .2348102    -4.99   0.000    -1.631838   -.7110219
     _Istateicps_43 |  -.8949865   .2968767    -3.01   0.003    -1.477093   -.3128805
     _Istateicps_44 |  -.4848957    .212913    -2.28   0.023    -.9023686   -.0674229
     _Istateicps_45 |  -.5737398   .2966003    -1.93   0.053    -1.155304    .0078243
     _Istateicps_46 |  -1.236151   .2605803    -4.74   0.000    -1.747088   -.7252136
     _Istateicps_47 |  -.6703443    .258279    -2.60   0.009    -1.176769   -.1639194
     _Istateicps_48 |  -.7444691   .2630676    -2.83   0.005    -1.260283   -.2286549
     _Istateicps_49 |   -.029522   .3045483    -0.10   0.923    -.6266702    .5676262
     _Istateicps_51 |  -1.113087   .3840741    -2.90   0.004    -1.866166   -.3600071
     _Istateicps_52 |  -.3495761   .2007273    -1.74   0.082    -.7431556    .0440033
     _Istateicps_53 |  -.4779369   .2867284    -1.67   0.096    -1.040144    .0842706
     _Istateicps_54 |  -1.150328   .2268717    -5.07   0.000    -1.595171   -.7054856
     _Istateicps_56 |  -1.614531   .2369028    -6.82   0.000    -2.079042    -1.15002
     _Istateicps_61 |  -.7580026   .4074942    -1.86   0.063    -1.557004    .0409985
     _Istateicps_62 |  -.8764677   .3085737    -2.84   0.005    -1.481509   -.2714267
     _Istateicps_63 |  -.4109925   .3109273    -1.32   0.186    -1.020648    .1986634
     _Istateicps_64 |    .145309   .4018568     0.36   0.718    -.6426385    .9332566
     _Istateicps_65 |  -.6095988   .4038237    -1.51   0.131    -1.401403    .1822053
     _Istateicps_66 |  -.3683481    .403032    -0.91   0.361      -1.1586    .4219036
     _Istateicps_67 |  -.5679013   .2816253    -2.02   0.044    -1.120103   -.0156999
     _Istateicps_68 |   .3464281   .3166121     1.09   0.274    -.2743744    .9672306
     _Istateicps_71 |   .2262248   .2408516     0.94   0.348    -.2460291    .6984786
     _Istateicps_72 |  -.5221794   .3207505    -1.63   0.104    -1.151096    .1067375
     _Istateicps_73 |  -.4120003   .3391093    -1.21   0.224    -1.076914    .2529139
     _Istateicps_98 |          0  (omitted)
              _cons |    6.77447   1.585028     4.27   0.000       3.6666    9.882341
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   338)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   338)
iAGRI_PF     |      16.38    0.0000 |       33.59   0.0000 |       16.38

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=16.14    P-val=0.0003

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     134.55
Kleibergen-Paap Wald rk F statistic                                16.38

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,338)=      16.59     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     34.01     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        339
Number of observations               N  =       3022
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
      _Istateicps_2 |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
      _Istateicps_3 |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
      _Istateicps_4 |    .273926   .1205731     2.27   0.023      .037607    .5102449
      _Istateicps_5 |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
      _Istateicps_6 |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
     _Istateicps_11 |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
     _Istateicps_12 |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
     _Istateicps_13 |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
     _Istateicps_14 |   .3265672   .0979723     3.33   0.001      .134545    .5185893
     _Istateicps_21 |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
     _Istateicps_22 |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
     _Istateicps_23 |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
     _Istateicps_24 |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
     _Istateicps_25 |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
     _Istateicps_31 |   .3896854   .1088369     3.58   0.000      .176369    .6030017
     _Istateicps_32 |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
     _Istateicps_33 |     .28514   .1104375     2.58   0.010     .0686866    .5015935
     _Istateicps_34 |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
     _Istateicps_35 |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
     _Istateicps_36 |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
     _Istateicps_37 |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
     _Istateicps_40 |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
     _Istateicps_41 |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
     _Istateicps_42 |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
     _Istateicps_43 |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
     _Istateicps_44 |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
     _Istateicps_45 |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
     _Istateicps_46 |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
     _Istateicps_47 |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
     _Istateicps_48 |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
     _Istateicps_49 |    .026546    .116572     0.23   0.820     -.201931     .255023
     _Istateicps_51 |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
     _Istateicps_52 |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
     _Istateicps_53 |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
     _Istateicps_54 |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
     _Istateicps_56 |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
     _Istateicps_61 |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
     _Istateicps_62 |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
     _Istateicps_63 |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
     _Istateicps_64 |    .443744   .1256613     3.53   0.000     .1974523    .6900356
     _Istateicps_65 |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
     _Istateicps_66 |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
     _Istateicps_67 |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
     _Istateicps_68 |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
     _Istateicps_71 |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
     _Istateicps_72 |     .55665   .1067046     5.22   0.000     .3475129    .7657871
     _Istateicps_73 |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est1 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  iwarbond_1944_PC   if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. 
. eststo: xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster
> (CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3017194   .0620357     4.86   0.000     .1800669     .423372
          iAGRI_T73 |   .2151504   .1027182     2.09   0.036     .0137191    .4165817
         ww1_vol_sh |   .0541683   .0996935     0.54   0.587    -.1413316    .2496681
ww1_awards_pop10_is |      .0621    .178696     0.35   0.728    -.2883244    .4125244
             lpop30 |  -.1977218    .045403    -4.35   0.000    -.2867574   -.1086861
           c30unemp |   -1.11257   .6676518    -1.67   0.096    -2.421841     .196701
          c30urban1 |   .1635703   .0463311     3.53   0.000     .0727146    .2544259
            c30farm |   .0915259   .3156527     0.29   0.772    -.5274718    .7105237
            iYf_T29 |    .341843   .0844944     4.05   0.000     .1761488    .5075372
           MEAN9628 |   .0106535   .0032477     3.28   0.001     .0042847    .0170223
             c30men |  -.3652069    1.86481    -0.20   0.845    -4.022115    3.291701
           c30black |   -.264047   .2875082    -0.92   0.359    -.8278531    .2997591
             c30jap |  -4.334511   5.246493    -0.83   0.409    -14.62293    5.953907
             c30deu |   .6765578   1.035268     0.65   0.513    -1.353611    2.706727
             c30ita |   -1.61388   1.094103    -1.48   0.140    -3.759426    .5316646
             c30vet |   .7112819   .6953677     1.02   0.306    -.6523402    2.074904
           lc40wage |   .0876162   .1586872     0.55   0.581    -.2235707    .3988032
      iwarconpro_PC |   .0034168     .03335     0.10   0.918    -.0619829    .0688165
      _Istateicps_2 |  -1.412081   .3550796    -3.98   0.000    -2.108395   -.7157667
      _Istateicps_3 |  -.0378801   .1325542    -0.29   0.775    -.2978201    .2220599
      _Istateicps_4 |  -1.347562   .1733416    -7.77   0.000    -1.687486   -1.007638
      _Istateicps_5 |  -.3293426   .1130741    -2.91   0.004     -.551082   -.1076033
      _Istateicps_6 |  -.9843088   .2043601    -4.82   0.000    -1.385061   -.5835568
     _Istateicps_11 |  -.4291463   .3273146    -1.31   0.190    -1.071013    .2127205
     _Istateicps_12 |  -.3323729   .1866564    -1.78   0.075    -.6984076    .0336618
     _Istateicps_13 |  -1.199832   .1961727    -6.12   0.000    -1.584529   -.8151361
     _Istateicps_14 |  -1.239489   .1771007    -7.00   0.000    -1.586785   -.8921928
     _Istateicps_21 |  -.2387278   .2920916    -0.82   0.414    -.8115219    .3340663
     _Istateicps_22 |  -.5942314   .2704594    -2.20   0.028    -1.124605   -.0638582
     _Istateicps_23 |   -.849258   .2552081    -3.33   0.001    -1.349723   -.3487926
     _Istateicps_24 |  -.8600766   .2368249    -3.63   0.000    -1.324492   -.3956609
     _Istateicps_25 |  -.5458066   .2935731    -1.86   0.063    -1.121506    .0298927
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.060045    .205751    -5.15   0.000    -1.463524   -.6565654
     _Istateicps_41 |  -.4192332   .2074482    -2.02   0.043     -.826041   -.0124254
     _Istateicps_42 |  -1.069833   .2409245    -4.44   0.000    -1.542288   -.5973781
     _Istateicps_43 |  -.9161689   .2840917    -3.22   0.001    -1.473275   -.3590627
     _Istateicps_44 |  -.3887811   .2208118    -1.76   0.078    -.8217948    .0442327
     _Istateicps_45 |  -.5342521   .3042204    -1.76   0.079    -1.130831    .0623268
     _Istateicps_46 |  -1.144274   .2653921    -4.31   0.000     -1.66471   -.6238378
     _Istateicps_47 |  -.5713226   .2581934    -2.21   0.027    -1.077642   -.0650031
     _Istateicps_48 |   -.646538   .2591545    -2.49   0.013    -1.154742   -.1383339
     _Istateicps_49 |   .0685505   .3198109     0.21   0.830    -.5586015    .6957024
     _Istateicps_51 |  -1.033064   .3703717    -2.79   0.005    -1.759366   -.3067616
     _Istateicps_52 |  -.3209361   .2026502    -1.58   0.113     -.718335    .0764628
     _Istateicps_53 |  -.3890901   .2988818    -1.30   0.193    -.9751999    .1970198
     _Istateicps_54 |  -1.027017    .232123    -4.42   0.000    -1.482213   -.5718221
     _Istateicps_56 |  -1.548947   .2443366    -6.34   0.000    -2.028093   -1.069801
     _Istateicps_61 |  -.7121697   .4108419    -1.73   0.083    -1.517834    .0934948
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4025677   .3355926    -1.20   0.230    -1.060668    .2555323
     _Istateicps_64 |   .2287702   .4423076     0.52   0.605    -.6385989    1.096139
     _Istateicps_65 |  -.6859005   .4379341    -1.57   0.117    -1.544693     .172892
     _Istateicps_66 |  -.2591229   .4164294    -0.62   0.534    -1.075745    .5574987
     _Istateicps_67 |  -.5636995   .3013475    -1.87   0.062    -1.154645    .0272456
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3021226   .2625017     1.15   0.250    -.2126456    .8168907
     _Istateicps_72 |  -.4572427   .3564004    -1.28   0.200    -1.156147    .2416616
     _Istateicps_73 |  -.3817661   .3529455    -1.08   0.280    -1.073895     .310363
     _Istateicps_98 |          0  (omitted)
              _cons |   6.394125   1.802429     3.55   0.000     2.859547    9.928704
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.62    0.0000 |       25.97   0.0000 |       12.62

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=18.45    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      93.33
Kleibergen-Paap Wald rk F statistic                                12.62

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       4.58     P-val=0.0111
Anderson-Rubin Wald test           Chi-sq(2)=      9.41     P-val=0.0090
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
      _Istateicps_2 |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
      _Istateicps_3 |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
      _Istateicps_4 |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
      _Istateicps_5 |    .043889    .071236     0.62   0.538    -.0957311    .1835091
      _Istateicps_6 |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
     _Istateicps_11 |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
     _Istateicps_12 |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
     _Istateicps_13 |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
     _Istateicps_14 |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
     _Istateicps_21 |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
     _Istateicps_22 |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
     _Istateicps_23 |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
     _Istateicps_24 |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
     _Istateicps_25 |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
     _Istateicps_41 |    .168629   .0941446     1.79   0.073     -.015891     .353149
     _Istateicps_42 |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
     _Istateicps_43 |    .359333   .1030183     3.49   0.000     .1574208    .5612453
     _Istateicps_44 |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
     _Istateicps_45 |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
     _Istateicps_46 |   .2923887   .0978264     2.99   0.003     .1006525     .484125
     _Istateicps_47 |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
     _Istateicps_48 |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
     _Istateicps_49 |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
     _Istateicps_51 |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
     _Istateicps_52 |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
     _Istateicps_53 |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
     _Istateicps_54 |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
     _Istateicps_56 |   .3277989    .117535     2.79   0.005     .0974344    .5581633
     _Istateicps_61 |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
     _Istateicps_64 |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
     _Istateicps_65 |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
     _Istateicps_66 |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
     _Istateicps_67 |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
     _Istateicps_72 |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
     _Istateicps_73 |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est2 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.011"

.                 qui:   sum  ww2_vol_pop40      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. 
. eststo: xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster
> (CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3017194   .0620357     4.86   0.000     .1800669     .423372
          iAGRI_T73 |   .2151504   .1027182     2.09   0.036     .0137191    .4165817
         ww1_vol_sh |   .0541683   .0996935     0.54   0.587    -.1413316    .2496681
ww1_awards_pop10_is |      .0621    .178696     0.35   0.728    -.2883244    .4125244
             lpop30 |  -.1977218    .045403    -4.35   0.000    -.2867574   -.1086861
           c30unemp |   -1.11257   .6676518    -1.67   0.096    -2.421841     .196701
          c30urban1 |   .1635703   .0463311     3.53   0.000     .0727146    .2544259
            c30farm |   .0915259   .3156527     0.29   0.772    -.5274718    .7105237
            iYf_T29 |    .341843   .0844944     4.05   0.000     .1761488    .5075372
           MEAN9628 |   .0106535   .0032477     3.28   0.001     .0042847    .0170223
             c30men |  -.3652069    1.86481    -0.20   0.845    -4.022115    3.291701
           c30black |   -.264047   .2875082    -0.92   0.359    -.8278531    .2997591
             c30jap |  -4.334511   5.246493    -0.83   0.409    -14.62293    5.953907
             c30deu |   .6765578   1.035268     0.65   0.513    -1.353611    2.706727
             c30ita |   -1.61388   1.094103    -1.48   0.140    -3.759426    .5316646
             c30vet |   .7112819   .6953677     1.02   0.306    -.6523402    2.074904
           lc40wage |   .0876162   .1586872     0.55   0.581    -.2235707    .3988032
      iwarconpro_PC |   .0034168     .03335     0.10   0.918    -.0619829    .0688165
      _Istateicps_2 |  -1.412081   .3550796    -3.98   0.000    -2.108395   -.7157667
      _Istateicps_3 |  -.0378801   .1325542    -0.29   0.775    -.2978201    .2220599
      _Istateicps_4 |  -1.347562   .1733416    -7.77   0.000    -1.687486   -1.007638
      _Istateicps_5 |  -.3293426   .1130741    -2.91   0.004     -.551082   -.1076033
      _Istateicps_6 |  -.9843088   .2043601    -4.82   0.000    -1.385061   -.5835568
     _Istateicps_11 |  -.4291463   .3273146    -1.31   0.190    -1.071013    .2127205
     _Istateicps_12 |  -.3323729   .1866564    -1.78   0.075    -.6984076    .0336618
     _Istateicps_13 |  -1.199832   .1961727    -6.12   0.000    -1.584529   -.8151361
     _Istateicps_14 |  -1.239489   .1771007    -7.00   0.000    -1.586785   -.8921928
     _Istateicps_21 |  -.2387278   .2920916    -0.82   0.414    -.8115219    .3340663
     _Istateicps_22 |  -.5942314   .2704594    -2.20   0.028    -1.124605   -.0638582
     _Istateicps_23 |   -.849258   .2552081    -3.33   0.001    -1.349723   -.3487926
     _Istateicps_24 |  -.8600766   .2368249    -3.63   0.000    -1.324492   -.3956609
     _Istateicps_25 |  -.5458066   .2935731    -1.86   0.063    -1.121506    .0298927
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.060045    .205751    -5.15   0.000    -1.463524   -.6565654
     _Istateicps_41 |  -.4192332   .2074482    -2.02   0.043     -.826041   -.0124254
     _Istateicps_42 |  -1.069833   .2409245    -4.44   0.000    -1.542288   -.5973781
     _Istateicps_43 |  -.9161689   .2840917    -3.22   0.001    -1.473275   -.3590627
     _Istateicps_44 |  -.3887811   .2208118    -1.76   0.078    -.8217948    .0442327
     _Istateicps_45 |  -.5342521   .3042204    -1.76   0.079    -1.130831    .0623268
     _Istateicps_46 |  -1.144274   .2653921    -4.31   0.000     -1.66471   -.6238378
     _Istateicps_47 |  -.5713226   .2581934    -2.21   0.027    -1.077642   -.0650031
     _Istateicps_48 |   -.646538   .2591545    -2.49   0.013    -1.154742   -.1383339
     _Istateicps_49 |   .0685505   .3198109     0.21   0.830    -.5586015    .6957024
     _Istateicps_51 |  -1.033064   .3703717    -2.79   0.005    -1.759366   -.3067616
     _Istateicps_52 |  -.3209361   .2026502    -1.58   0.113     -.718335    .0764628
     _Istateicps_53 |  -.3890901   .2988818    -1.30   0.193    -.9751999    .1970198
     _Istateicps_54 |  -1.027017    .232123    -4.42   0.000    -1.482213   -.5718221
     _Istateicps_56 |  -1.548947   .2443366    -6.34   0.000    -2.028093   -1.069801
     _Istateicps_61 |  -.7121697   .4108419    -1.73   0.083    -1.517834    .0934948
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4025677   .3355926    -1.20   0.230    -1.060668    .2555323
     _Istateicps_64 |   .2287702   .4423076     0.52   0.605    -.6385989    1.096139
     _Istateicps_65 |  -.6859005   .4379341    -1.57   0.117    -1.544693     .172892
     _Istateicps_66 |  -.2591229   .4164294    -0.62   0.534    -1.075745    .5574987
     _Istateicps_67 |  -.5636995   .3013475    -1.87   0.062    -1.154645    .0272456
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3021226   .2625017     1.15   0.250    -.2126456    .8168907
     _Istateicps_72 |  -.4572427   .3564004    -1.28   0.200    -1.156147    .2416616
     _Istateicps_73 |  -.3817661   .3529455    -1.08   0.280    -1.073895     .310363
     _Istateicps_98 |          0  (omitted)
              _cons |   6.394125   1.802429     3.55   0.000     2.859547    9.928704
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.62    0.0000 |       25.97   0.0000 |       12.62

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=18.45    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      93.33
Kleibergen-Paap Wald rk F statistic                                12.62

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       9.20     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     18.93     P-val=0.0001
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
      _Istateicps_2 |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
      _Istateicps_3 |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
      _Istateicps_4 |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
      _Istateicps_5 |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
      _Istateicps_6 |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
     _Istateicps_11 |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
     _Istateicps_12 |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
     _Istateicps_13 |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
     _Istateicps_14 |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
     _Istateicps_21 |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
     _Istateicps_22 |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
     _Istateicps_23 |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
     _Istateicps_24 |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
     _Istateicps_25 |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
     _Istateicps_41 |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
     _Istateicps_42 |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
     _Istateicps_43 |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
     _Istateicps_44 |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
     _Istateicps_45 |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
     _Istateicps_46 |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
     _Istateicps_47 |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
     _Istateicps_48 |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
     _Istateicps_49 |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
     _Istateicps_51 |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
     _Istateicps_52 |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
     _Istateicps_53 |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
     _Istateicps_54 |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
     _Istateicps_56 |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
     _Istateicps_61 |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
     _Istateicps_64 |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
     _Istateicps_65 |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
     _Istateicps_66 |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
     _Istateicps_67 |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
     _Istateicps_72 |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
     _Istateicps_73 |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est3 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. 
. eststo: xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster
> (CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3017194   .0620357     4.86   0.000     .1800669     .423372
          iAGRI_T73 |   .2151504   .1027182     2.09   0.036     .0137191    .4165817
         ww1_vol_sh |   .0541683   .0996935     0.54   0.587    -.1413316    .2496681
ww1_awards_pop10_is |      .0621    .178696     0.35   0.728    -.2883244    .4125244
             lpop30 |  -.1977218    .045403    -4.35   0.000    -.2867574   -.1086861
           c30unemp |   -1.11257   .6676518    -1.67   0.096    -2.421841     .196701
          c30urban1 |   .1635703   .0463311     3.53   0.000     .0727146    .2544259
            c30farm |   .0915259   .3156527     0.29   0.772    -.5274718    .7105237
            iYf_T29 |    .341843   .0844944     4.05   0.000     .1761488    .5075372
           MEAN9628 |   .0106535   .0032477     3.28   0.001     .0042847    .0170223
             c30men |  -.3652069    1.86481    -0.20   0.845    -4.022115    3.291701
           c30black |   -.264047   .2875082    -0.92   0.359    -.8278531    .2997591
             c30jap |  -4.334511   5.246493    -0.83   0.409    -14.62293    5.953907
             c30deu |   .6765578   1.035268     0.65   0.513    -1.353611    2.706727
             c30ita |   -1.61388   1.094103    -1.48   0.140    -3.759426    .5316646
             c30vet |   .7112819   .6953677     1.02   0.306    -.6523402    2.074904
           lc40wage |   .0876162   .1586872     0.55   0.581    -.2235707    .3988032
      iwarconpro_PC |   .0034168     .03335     0.10   0.918    -.0619829    .0688165
      _Istateicps_2 |  -1.412081   .3550796    -3.98   0.000    -2.108395   -.7157667
      _Istateicps_3 |  -.0378801   .1325542    -0.29   0.775    -.2978201    .2220599
      _Istateicps_4 |  -1.347562   .1733416    -7.77   0.000    -1.687486   -1.007638
      _Istateicps_5 |  -.3293426   .1130741    -2.91   0.004     -.551082   -.1076033
      _Istateicps_6 |  -.9843088   .2043601    -4.82   0.000    -1.385061   -.5835568
     _Istateicps_11 |  -.4291463   .3273146    -1.31   0.190    -1.071013    .2127205
     _Istateicps_12 |  -.3323729   .1866564    -1.78   0.075    -.6984076    .0336618
     _Istateicps_13 |  -1.199832   .1961727    -6.12   0.000    -1.584529   -.8151361
     _Istateicps_14 |  -1.239489   .1771007    -7.00   0.000    -1.586785   -.8921928
     _Istateicps_21 |  -.2387278   .2920916    -0.82   0.414    -.8115219    .3340663
     _Istateicps_22 |  -.5942314   .2704594    -2.20   0.028    -1.124605   -.0638582
     _Istateicps_23 |   -.849258   .2552081    -3.33   0.001    -1.349723   -.3487926
     _Istateicps_24 |  -.8600766   .2368249    -3.63   0.000    -1.324492   -.3956609
     _Istateicps_25 |  -.5458066   .2935731    -1.86   0.063    -1.121506    .0298927
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.060045    .205751    -5.15   0.000    -1.463524   -.6565654
     _Istateicps_41 |  -.4192332   .2074482    -2.02   0.043     -.826041   -.0124254
     _Istateicps_42 |  -1.069833   .2409245    -4.44   0.000    -1.542288   -.5973781
     _Istateicps_43 |  -.9161689   .2840917    -3.22   0.001    -1.473275   -.3590627
     _Istateicps_44 |  -.3887811   .2208118    -1.76   0.078    -.8217948    .0442327
     _Istateicps_45 |  -.5342521   .3042204    -1.76   0.079    -1.130831    .0623268
     _Istateicps_46 |  -1.144274   .2653921    -4.31   0.000     -1.66471   -.6238378
     _Istateicps_47 |  -.5713226   .2581934    -2.21   0.027    -1.077642   -.0650031
     _Istateicps_48 |   -.646538   .2591545    -2.49   0.013    -1.154742   -.1383339
     _Istateicps_49 |   .0685505   .3198109     0.21   0.830    -.5586015    .6957024
     _Istateicps_51 |  -1.033064   .3703717    -2.79   0.005    -1.759366   -.3067616
     _Istateicps_52 |  -.3209361   .2026502    -1.58   0.113     -.718335    .0764628
     _Istateicps_53 |  -.3890901   .2988818    -1.30   0.193    -.9751999    .1970198
     _Istateicps_54 |  -1.027017    .232123    -4.42   0.000    -1.482213   -.5718221
     _Istateicps_56 |  -1.548947   .2443366    -6.34   0.000    -2.028093   -1.069801
     _Istateicps_61 |  -.7121697   .4108419    -1.73   0.083    -1.517834    .0934948
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4025677   .3355926    -1.20   0.230    -1.060668    .2555323
     _Istateicps_64 |   .2287702   .4423076     0.52   0.605    -.6385989    1.096139
     _Istateicps_65 |  -.6859005   .4379341    -1.57   0.117    -1.544693     .172892
     _Istateicps_66 |  -.2591229   .4164294    -0.62   0.534    -1.075745    .5574987
     _Istateicps_67 |  -.5636995   .3013475    -1.87   0.062    -1.154645    .0272456
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3021226   .2625017     1.15   0.250    -.2126456    .8168907
     _Istateicps_72 |  -.4572427   .3564004    -1.28   0.200    -1.156147    .2416616
     _Istateicps_73 |  -.3817661   .3529455    -1.08   0.280    -1.073895     .310363
     _Istateicps_98 |          0  (omitted)
              _cons |   6.394125   1.802429     3.55   0.000     2.859547    9.928704
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.62    0.0000 |       25.97   0.0000 |       12.62

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=18.45    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      93.33
Kleibergen-Paap Wald rk F statistic                                12.62

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=      10.08     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     20.74     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
      _Istateicps_2 |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
      _Istateicps_3 |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
      _Istateicps_4 |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
      _Istateicps_5 |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
      _Istateicps_6 |   1.057225   .3504723     3.02   0.003      .370312    1.744138
     _Istateicps_11 |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
     _Istateicps_12 |    -.17893    .221375    -0.81   0.419     -.612817     .254957
     _Istateicps_13 |    .631846    .265768     2.38   0.017     .1109504    1.152742
     _Istateicps_14 |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
     _Istateicps_21 |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
     _Istateicps_22 |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
     _Istateicps_23 |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
     _Istateicps_24 |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
     _Istateicps_25 |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
     _Istateicps_41 |    .366587    .254237     1.44   0.149    -.1317085    .8648824
     _Istateicps_42 |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
     _Istateicps_43 |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
     _Istateicps_44 |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
     _Istateicps_45 |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
     _Istateicps_46 |   .7896323   .2820737     2.80   0.005      .236778    1.342487
     _Istateicps_47 |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
     _Istateicps_48 |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
     _Istateicps_49 |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
     _Istateicps_51 |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
     _Istateicps_52 |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
     _Istateicps_53 |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
     _Istateicps_54 |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
     _Istateicps_56 |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
     _Istateicps_61 |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
     _Istateicps_64 |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
     _Istateicps_65 |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
     _Istateicps_66 |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
     _Istateicps_67 |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
     _Istateicps_72 |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
     _Istateicps_73 |   .6408049    .282687     2.27   0.023     .0867487    1.194861
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est4 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  pc1                if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. esttab using "results/tables/AppTab2_id2.tex" ,                                                                                ///
>     indicate("State FE (48) = *state*")                                                                                                    ///
>         order(iAGRI_PF ) drop(_cons)                                                                     ///
>         mgroups("War bonds" "Volunteers" "Medals" "PCA", pattern(1 1 1 1 1 )                                                           ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         mlabel("2SLS" "2SLS" "2SLS" "2SLS")                                                                                                   
>  ///
>         scalars("y_mean_round Mean dependent variable" "RA_test Rubin-Anderson test (p-value)")                                        ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                                                                   ///
>         nogaps title(Panel B. Identification: IV Results: Full Estimates) nonotes
(output written to results/tables/AppTab2_id2.tex)

. ***************************************************************************************************
. ****         Tab 3. Balance table                                                                                  ****
. ***************************************************************************************************     
. 
. local deps MEAN9628 ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30men c30black iYf_T29 c30farm c30jap c30deu c30ita c30vet lc40w
> age iwarconpro_PC

. 
. local r = 0

. forvalues s = 1/16{
  2.         local dep: word `s' of `deps'
  3.         local r = `r' + 1       
  4.         
.         estimates clear
  5.         eststo: xi: reg `dep' iSUM3MO_DROUGHT3340 iAGRI_T73 i.stateicpsr if sample_ols == 1, cluster(CLIMDIVX)
  6.         quietly     sum `dep' if e(sample) == 1 
  7.         local e`r'1 = string(r(mean), "%9.3f")
  8.         local e`r'4 = string(r(N), "%9.0f")
  9. 
.         local e`r'2a = string(e(b)[1,1], "%9.3f")
 10.         
.         local tmp = e(b)[1,1]/sqrt(e(V)[1,1])
 11.         local tmp2 = 2*ttail(e(df_r),abs(`tmp'))
 12.         if `tmp2' < .01{
 13.                 local e`r'2b = "$^{***}$"
 14.         }
 15.         if `tmp2' < .05 & `tmp2' > .01{
 16.                 local e`r'2b = "$^{**}$"
 17.         }
 18.         if `tmp2' < .1 & `tmp2' > .05{
 19.                 local e`r'2b = "$^{*}$"
 20.         }
 21.         
.         local e`r'2 = "`e`r'2a'" + "`e`r'2b'"   
 22. 
.         local e`r'3a = string(e(b)[1,2], "%9.3f")
 23.         
.         local tmp = e(b)[1,2]/sqrt(e(V)[2,2])
 24.         local tmp2 = 2*ttail(e(df_r),abs(`tmp'))
 25.         if `tmp2' < .01{
 26.                 local e`r'3b = "$^{***}$"
 27.         }
 28.         if `tmp2' < .05 & `tmp2' > .01{
 29.                 local e`r'3b = "$^{**}$"
 30.         }
 31.         if `tmp2' < .1 & `tmp2' > .05{
 32.                 local e`r'3b = "$^{*}$"
 33.         }
 34.         
.         local e`r'3 = "`e`r'3a'" + "`e`r'3b'"   
 35. 
.         
.         local r = `r' + 1
 36.         
.         local e`r'2 = "["+string(sqrt(e(V)[`s',`s']), "%9.3f")+"]"
 37.         local e`r'3 = "["+string(sqrt(e(V)[`s',`s']), "%9.3f")+"]"
 38.         
. }
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.7491
                                                Root MSE          =     9.3617

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
           MEAN9628 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   2.232387   .8679691     2.57   0.011     .5250857    3.939689
          iAGRI_T73 |   .4612843    .548045     0.84   0.401    -.6167243    1.539293
      _Istateicps_2 |  -.5767551   1.372394    -0.42   0.675    -3.276263    2.122753
      _Istateicps_3 |  -5.016191   .8319563    -6.03   0.000    -6.652655   -3.379727
      _Istateicps_4 |   .3309805   .7653173     0.43   0.666    -1.174404    1.836365
      _Istateicps_5 |  -2.737541    .633378    -4.32   0.000    -3.983401   -1.491682
      _Istateicps_6 |  -13.02259   1.958592    -6.65   0.000    -16.87516   -9.170028
     _Istateicps_11 |   7.957614    1.89091     4.21   0.000     4.238181    11.67705
     _Istateicps_12 |  -.2762336   1.931157    -0.14   0.886    -4.074834    3.522367
     _Istateicps_13 |  -4.213121   1.856592    -2.27   0.024    -7.865051   -.5611918
     _Istateicps_14 |  -3.396371   2.050489    -1.66   0.099    -7.429698    .6369559
     _Istateicps_21 |  -3.643404   3.553178    -1.03   0.306    -10.63253    3.345722
     _Istateicps_22 |   2.351795   2.509256     0.94   0.349     -2.58393    7.287519
     _Istateicps_23 |  -13.35207   2.468256    -5.41   0.000    -18.20714   -8.496991
     _Istateicps_24 |  -.2527717   2.393661    -0.11   0.916    -4.961121    4.455578
     _Istateicps_25 |  -11.65866   2.783661    -4.19   0.000    -17.13414   -6.183181
     _Istateicps_31 |  -8.650734   2.880906    -3.00   0.003     -14.3175   -2.983971
     _Istateicps_32 |  -6.806994   2.989776    -2.28   0.023     -12.6879   -.9260839
     _Istateicps_33 |  -13.47996   2.653609    -5.08   0.000    -18.69963    -8.26029
     _Istateicps_34 |    6.40429   2.810367     2.28   0.023     .8762772     11.9323
     _Istateicps_35 |  -4.567832   3.192128    -1.43   0.153    -10.84677    1.711108
     _Istateicps_36 |  -13.05651   2.709679    -4.82   0.000    -18.38647   -7.726556
     _Istateicps_37 |  -8.765419   2.986039    -2.94   0.004    -14.63898   -2.891859
     _Istateicps_40 |   24.89926   3.625598     6.87   0.000     17.76768    32.03084
     _Istateicps_41 |   32.71926   4.411647     7.42   0.000     24.04152      41.397
     _Istateicps_42 |   20.60883   2.116976     9.74   0.000     16.44472    24.77294
     _Istateicps_43 |   26.87171    2.12757    12.63   0.000     22.68676    31.05665
     _Istateicps_44 |   32.01192   2.844615    11.25   0.000     26.41654     37.6073
     _Istateicps_45 |   42.92285   2.502356    17.15   0.000      38.0007      47.845
     _Istateicps_46 |   48.78902    1.40126    34.82   0.000     46.03273    51.54531
     _Istateicps_47 |   20.64522    3.46226     5.96   0.000     13.83493    27.45551
     _Istateicps_48 |   54.67634   1.924267    28.41   0.000     50.89129    58.46139
     _Istateicps_49 |   27.32644   2.028167    13.47   0.000     23.33702    31.31586
     _Istateicps_51 |   8.435516   4.547802     1.85   0.064    -.5100437    17.38108
     _Istateicps_52 |   9.993779   1.454313     6.87   0.000     7.133135    12.85442
     _Istateicps_53 |   3.990915   3.326609     1.20   0.231    -2.552551    10.53438
     _Istateicps_54 |    12.3471   7.032376     1.76   0.080    -1.485633    26.17984
     _Istateicps_56 |   7.632415   1.620453     4.71   0.000     4.444973    10.81986
     _Istateicps_61 |   6.051758   2.981207     2.03   0.043     .1877011    11.91581
     _Istateicps_62 |   4.020129   3.587487     1.12   0.263    -3.036484    11.07674
     _Istateicps_63 |  -2.072574   2.748133    -0.75   0.451    -7.478173    3.333024
     _Istateicps_64 |  -3.690125   3.192421    -1.16   0.249     -9.96964    2.589391
     _Istateicps_65 |   5.757151   2.980182     1.93   0.054    -.1048893    11.61919
     _Istateicps_66 |   3.443018    2.70077     1.27   0.203    -1.869417    8.755453
     _Istateicps_67 |   3.402146   2.500154     1.36   0.174    -1.515675    8.319968
     _Istateicps_68 |  -5.903545   2.684951    -2.20   0.029    -11.18486   -.6222276
     _Istateicps_71 |  -2.434933   1.925758    -1.26   0.207    -6.222913    1.353047
     _Istateicps_72 |  -6.471671   2.127489    -3.04   0.003    -10.65646   -2.286884
     _Istateicps_73 |  -7.005837   1.539592    -4.55   0.000    -10.03422   -3.977449
     _Istateicps_98 |          0  (omitted)
              _cons |    36.6041    .633378    57.79   0.000     35.35824    37.84996
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2091
                                                Root MSE          =     .22663

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
         ww1_vol_sh |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0296812   .0110321    -2.69   0.007    -.0513815    -.007981
          iAGRI_T73 |  -.0099879   .0120142    -0.83   0.406    -.0336198    .0136441
      _Istateicps_2 |   .2557138   .0871312     2.93   0.004     .0843261    .4271014
      _Istateicps_3 |   .0299022   .0549604     0.54   0.587    -.0782054    .1380098
      _Istateicps_4 |   .2979114   .0380428     7.83   0.000      .223081    .3727417
      _Istateicps_5 |   .1441024   .0121548    11.86   0.000     .1201937    .1680111
      _Istateicps_6 |   .1979337   .0525174     3.77   0.000     .0946315    .3012359
     _Istateicps_11 |   .1094795    .026122     4.19   0.000     .0580973    .1608617
     _Istateicps_12 |  -.0435994   .0413044    -1.06   0.292    -.1248454    .0376467
     _Istateicps_13 |   .0024526   .0266711     0.09   0.927    -.0500097    .0549149
     _Istateicps_14 |   .0329438   .0271376     1.21   0.226    -.0204361    .0863236
     _Istateicps_21 |  -.0267597   .0367855    -0.73   0.467     -.099117    .0455975
     _Istateicps_22 |   .0470045   .0424185     1.11   0.269     -.036433     .130442
     _Istateicps_23 |  -.0626461   .0374525    -1.67   0.095    -.1363154    .0110232
     _Istateicps_24 |    .170926   .0470189     3.64   0.000     .0784394    .2634125
     _Istateicps_25 |   .2273303   .0407576     5.58   0.000     .1471599    .3075007
     _Istateicps_31 |   .1250845   .0464515     2.69   0.007     .0337141    .2164549
     _Istateicps_32 |   .2237053   .0624867     3.58   0.000     .1007934    .3466171
     _Istateicps_33 |  -.0554983   .0442555    -1.25   0.211    -.1425492    .0315526
     _Istateicps_34 |   .0024618   .0422449     0.06   0.954    -.0806342    .0855578
     _Istateicps_35 |   .0489871   .0573223     0.85   0.393    -.0637662    .1617404
     _Istateicps_36 |  -.0317056   .0425793    -0.74   0.457    -.1154595    .0520482
     _Istateicps_37 |   .2209793   .0544216     4.06   0.000     .1139316    .3280271
     _Istateicps_40 |  -.1603378   .0175196    -9.15   0.000    -.1947991   -.1258766
     _Istateicps_41 |  -.0803029   .0540579    -1.49   0.138    -.1866351    .0260293
     _Istateicps_42 |   .0672343   .0448525     1.50   0.135     -.020991    .1554596
     _Istateicps_43 |  -.0218656    .044721    -0.49   0.625    -.1098321     .066101
     _Istateicps_44 |  -.1180124   .0331671    -3.56   0.000    -.1832523   -.0527724
     _Istateicps_45 |  -.1908153   .0283226    -6.74   0.000    -.2465261   -.1351044
     _Istateicps_46 |  -.0131267   .0521748    -0.25   0.802     -.115755    .0895016
     _Istateicps_47 |   -.119299   .0341721    -3.49   0.001    -.1865158   -.0520823
     _Istateicps_48 |  -.0937457   .0488069    -1.92   0.056    -.1897492    .0022578
     _Istateicps_49 |  -.0904717   .0344874    -2.62   0.009    -.1583086   -.0226347
     _Istateicps_51 |  -.0737565   .0282009    -2.62   0.009    -.1292279   -.0182851
     _Istateicps_52 |    .006879   .0370908     0.19   0.853    -.0660788    .0798369
     _Istateicps_53 |  -.1497508   .0347836    -4.31   0.000    -.2181703   -.0813313
     _Istateicps_54 |  -.1259472   .0496576    -2.54   0.012     -.223624   -.0282703
     _Istateicps_56 |  -.0568584    .033165    -1.71   0.087    -.1220942    .0083774
     _Istateicps_61 |  -.0803982   .0673797    -1.19   0.234    -.2129346    .0521382
     _Istateicps_62 |    .074681   .0431207     1.73   0.084    -.0101378    .1594997
     _Istateicps_63 |    .146923   .0725072     2.03   0.044     .0043008    .2895451
     _Istateicps_64 |  -.0469464   .0418699    -1.12   0.263    -.1293048     .035412
     _Istateicps_65 |  -.0554131   .0322473    -1.72   0.087    -.1188438    .0080176
     _Istateicps_66 |   .0623793   .0680699     0.92   0.360    -.0715148    .1962733
     _Istateicps_67 |   .0284318   .0524928     0.54   0.588    -.0748219    .1316855
     _Istateicps_68 |   .4190907   .0710748     5.90   0.000     .2792861    .5588953
     _Istateicps_71 |  -.0522496   .0263386    -1.98   0.048    -.1040577   -.0004414
     _Istateicps_72 |   .4558827   .0545492     8.36   0.000     .3485839    .5631815
     _Istateicps_73 |  -.0753712   .0403727    -1.87   0.063    -.1547847    .0040422
     _Istateicps_98 |          0  (omitted)
              _cons |   .4071374   .0121548    33.50   0.000     .3832287    .4310461
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0841
                                                Root MSE          =     .08861

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
ww1_awards_pop10_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0038589   .0037806     1.02   0.308    -.0035776    .0112954
          iAGRI_T73 |   .0032423   .0060273     0.54   0.591    -.0086134     .015098
      _Istateicps_2 |   -.004972   .0113485    -0.44   0.662    -.0272945    .0173506
      _Istateicps_3 |   .0325481   .0123215     2.64   0.009     .0083116    .0567845
      _Istateicps_4 |  -.0257712   .0181757    -1.42   0.157     -.061523    .0099806
      _Istateicps_5 |   .0206767   .0072961     2.83   0.005     .0063251    .0350282
      _Istateicps_6 |  -.0120291    .015633    -0.77   0.442    -.0427794    .0187212
     _Istateicps_11 |  -.0433406   .0221467    -1.96   0.051    -.0869033    .0002222
     _Istateicps_12 |   .0035045   .0075585     0.46   0.643    -.0113631    .0183721
     _Istateicps_13 |  -.0009985   .0134923    -0.07   0.941    -.0275379    .0255409
     _Istateicps_14 |  -.0074078   .0091925    -0.81   0.421    -.0254895    .0106739
     _Istateicps_21 |  -.0255623   .0140487    -1.82   0.070    -.0531962    .0020716
     _Istateicps_22 |  -.0497993   .0123759    -4.02   0.000    -.0741427   -.0254558
     _Istateicps_23 |  -.0081557   .0160411    -0.51   0.611    -.0397087    .0233974
     _Istateicps_24 |  -.0396253   .0116438    -3.40   0.001    -.0625287    -.016722
     _Istateicps_25 |  -.0322511    .014324    -2.25   0.025    -.0604265   -.0040758
     _Istateicps_31 |  -.0336891   .0143319    -2.35   0.019    -.0618801   -.0054982
     _Istateicps_32 |  -.0260584   .0193612    -1.35   0.179     -.064142    .0120252
     _Istateicps_33 |  -.0454563   .0139708    -3.25   0.001    -.0729369   -.0179757
     _Istateicps_34 |  -.0402347   .0140633    -2.86   0.004    -.0678973    -.012572
     _Istateicps_35 |  -.0502344   .0207281    -2.42   0.016    -.0910067    -.009462
     _Istateicps_36 |  -.0563634   .0147512    -3.82   0.000    -.0853792   -.0273476
     _Istateicps_37 |  -.0243726   .0236128    -1.03   0.303     -.070819    .0220739
     _Istateicps_40 |  -.0179968   .0116924    -1.54   0.125    -.0409959    .0050023
     _Istateicps_41 |   -.037125   .0094294    -3.94   0.000    -.0556728   -.0185772
     _Istateicps_42 |   -.069563   .0110838    -6.28   0.000     -.091365   -.0477611
     _Istateicps_43 |  -.0342432   .0138184    -2.48   0.014    -.0614241   -.0070624
     _Istateicps_44 |  -.0590478   .0079912    -7.39   0.000    -.0747664   -.0433291
     _Istateicps_45 |   -.064128    .008263    -7.76   0.000    -.0803815   -.0478746
     _Istateicps_46 |  -.0676945    .009017    -7.51   0.000     -.085431   -.0499579
     _Istateicps_47 |   .0009534   .0104985     0.09   0.928    -.0196973    .0216041
     _Istateicps_48 |  -.0237015   .0142845    -1.66   0.098    -.0517991    .0043962
     _Istateicps_49 |  -.0391128   .0125176    -3.12   0.002    -.0637349   -.0144907
     _Istateicps_51 |  -.0401779   .0130468    -3.08   0.002    -.0658412   -.0145147
     _Istateicps_52 |  -.0006075   .0180308    -0.03   0.973    -.0360741    .0348592
     _Istateicps_53 |  -.0346162   .0140739    -2.46   0.014    -.0622997   -.0069327
     _Istateicps_54 |  -.0126241   .0223005    -0.57   0.572    -.0564893    .0312411
     _Istateicps_56 |  -.0456377   .0117685    -3.88   0.000    -.0687864    -.022489
     _Istateicps_61 |   .0181357   .0198449     0.91   0.361    -.0208993    .0571707
     _Istateicps_62 |  -.0425566    .020761    -2.05   0.041    -.0833935   -.0017196
     _Istateicps_63 |   .0440418   .0244115     1.80   0.072    -.0039759    .0920595
     _Istateicps_64 |   .0779635   .0407167     1.91   0.056    -.0021265    .1580536
     _Istateicps_65 |   .0520734   .0399577     1.30   0.193    -.0265237    .1306705
     _Istateicps_66 |  -.0359048   .0145815    -2.46   0.014    -.0645867    -.007223
     _Istateicps_67 |  -.0376437   .0216806    -1.74   0.083    -.0802896    .0050023
     _Istateicps_68 |  -.0085734   .0255924    -0.33   0.738    -.0589138     .041767
     _Istateicps_71 |  -.0269041    .013287    -2.02   0.044    -.0530398   -.0007685
     _Istateicps_72 |  -.0517138   .0209843    -2.46   0.014    -.0929901   -.0104374
     _Istateicps_73 |  -.0235171   .0138213    -1.70   0.090    -.0507038    .0036696
     _Istateicps_98 |          0  (omitted)
              _cons |    .080472   .0072961    11.03   0.000     .0661205    .0948236
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3144
                                                Root MSE          =     .85896

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             lpop30 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0922308   .0582453    -1.58   0.114    -.2067998    .0223381
          iAGRI_T73 |   -.195194    .059829    -3.26   0.001    -.3128781   -.0775099
      _Istateicps_2 |  -1.088085   .2694414    -4.04   0.000    -1.618078   -.5580921
      _Istateicps_3 |    .589204   .1883128     3.13   0.002     .2187914    .9596166
      _Istateicps_4 |  -1.080734   .1837402    -5.88   0.000    -1.442153    -.719316
      _Istateicps_5 |     -.7151   .1768765    -4.04   0.000    -1.063017   -.3671826
      _Istateicps_6 |  -1.777387   .1986261    -8.95   0.000    -2.168086   -1.386688
     _Istateicps_11 |  -.7109015   .4874359    -1.46   0.146    -1.669691    .2478884
     _Istateicps_12 |  -.0786391    .240574    -0.33   0.744      -.55185    .3945717
     _Istateicps_13 |  -.5105078     .27581    -1.85   0.065    -1.053028    .0320126
     _Istateicps_14 |  -.5708924   .3065963    -1.86   0.063     -1.17397    .0321849
     _Istateicps_21 |  -1.298151   .2663571    -4.87   0.000    -1.822078    -.774225
     _Istateicps_22 |  -1.446946   .2455606    -5.89   0.000    -1.929966    -.963927
     _Istateicps_23 |  -1.517826   .3770278    -4.03   0.000    -2.259442   -.7762092
     _Istateicps_24 |   -.881084    .242491    -3.63   0.000    -1.358066   -.4041025
     _Istateicps_25 |  -1.284575   .2560612    -5.02   0.000     -1.78825    -.780901
     _Istateicps_31 |  -1.479446   .2504607    -5.91   0.000    -1.972104   -.9867881
     _Istateicps_32 |  -1.883135   .3056443    -6.16   0.000    -2.484339    -1.28193
     _Istateicps_33 |  -1.674922   .2552784    -6.56   0.000    -2.177057   -1.172788
     _Istateicps_34 |  -1.747906   .2356769    -7.42   0.000    -2.211485   -1.284328
     _Istateicps_35 |  -2.258495   .3841871    -5.88   0.000    -3.014193   -1.502796
     _Istateicps_36 |  -2.169821   .2633544    -8.24   0.000    -2.687841   -1.651801
     _Istateicps_37 |  -2.449624   .3234897    -7.57   0.000    -3.085931   -1.813317
     _Istateicps_40 |  -2.011087   .2101163    -9.57   0.000    -2.424388   -1.597787
     _Istateicps_41 |  -1.374218    .194674    -7.06   0.000    -1.757143   -.9912923
     _Istateicps_42 |  -1.544904   .2420134    -6.38   0.000    -2.020946   -1.068862
     _Istateicps_43 |  -2.279403   .1913201   -11.91   0.000    -2.655732   -1.903075
     _Istateicps_44 |  -2.222031   .1811314   -12.27   0.000    -2.578318   -1.865745
     _Istateicps_45 |  -1.661697   .1877703    -8.85   0.000    -2.031043   -1.292352
     _Istateicps_46 |   -1.64459   .2015675    -8.16   0.000    -2.041075   -1.248106
     _Istateicps_47 |   -1.59886   .2204931    -7.25   0.000    -2.032571   -1.165148
     _Istateicps_48 |  -1.180456   .2313136    -5.10   0.000    -1.635452   -.7254607
     _Istateicps_49 |  -2.048348   .2776176    -7.38   0.000    -2.594424   -1.502272
     _Istateicps_51 |  -1.915873   .2087382    -9.18   0.000    -2.326463   -1.505284
     _Istateicps_52 |  -1.417053    .247049    -5.74   0.000       -1.903   -.9311055
     _Istateicps_53 |  -1.407728   .2592173    -5.43   0.000     -1.91761   -.8978453
     _Istateicps_54 |  -1.751036   .2139114    -8.19   0.000    -2.171801    -1.33027
     _Istateicps_56 |  -1.635197   .2096971    -7.80   0.000    -2.047673   -1.222721
     _Istateicps_61 |  -1.745771   .3479961    -5.02   0.000    -2.430282    -1.06126
     _Istateicps_62 |   -2.49149   .3760723    -6.63   0.000    -3.231227   -1.751753
     _Istateicps_63 |  -2.601085   .2932206    -8.87   0.000    -3.177852   -2.024318
     _Istateicps_64 |  -2.571672   .2580577    -9.97   0.000    -3.079274   -2.064071
     _Istateicps_65 |  -3.395745    .251123   -13.52   0.000    -3.889705   -2.901784
     _Istateicps_66 |  -2.122582     .23432    -9.06   0.000    -2.583491   -1.661673
     _Istateicps_67 |   -2.58842   .3397847    -7.62   0.000    -3.256779   -1.920061
     _Istateicps_68 |  -2.496604   .2885146    -8.65   0.000    -3.064115   -1.929094
     _Istateicps_71 |  -1.391896   .3887127    -3.58   0.000    -2.156497   -.6272956
     _Istateicps_72 |  -1.928661   .3772769    -5.11   0.000    -2.670768   -1.186555
     _Istateicps_73 |  -1.845223   .2729262    -6.76   0.000    -2.382071   -1.308375
     _Istateicps_98 |          0  (omitted)
              _cons |    11.7352   .1768765    66.35   0.000     11.38728    12.08312
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2480
                                                Root MSE          =     .03526

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
           c30unemp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0015453   .0019745    -0.78   0.434    -.0054292    .0023386
          iAGRI_T73 |  -.0032399    .002241    -1.45   0.149    -.0076478    .0011681
      _Istateicps_2 |    .012083   .0104429     1.16   0.248    -.0084583    .0326243
      _Istateicps_3 |     .01477   .0057388     2.57   0.010     .0034817    .0260582
      _Istateicps_4 |   .0034754   .0065274     0.53   0.595    -.0093641    .0163149
      _Istateicps_5 |    .024457   .0054714     4.47   0.000     .0136947    .0352193
      _Istateicps_6 |  -.0098866   .0110698    -0.89   0.372    -.0316611    .0118878
     _Istateicps_11 |  -.0408185   .0155386    -2.63   0.009     -.071383   -.0102539
     _Istateicps_12 |  -.0015481   .0055416    -0.28   0.780    -.0124484    .0093523
     _Istateicps_13 |  -.0027265   .0074716    -0.36   0.715    -.0174231    .0119701
     _Istateicps_14 |   .0103766   .0092214     1.13   0.261    -.0077619    .0285151
     _Istateicps_21 |  -.0098649   .0088452    -1.12   0.266    -.0272635    .0075338
     _Istateicps_22 |  -.0156996    .009276    -1.69   0.091    -.0339456    .0025464
     _Istateicps_23 |   .0125299   .0099988     1.25   0.211    -.0071379    .0321976
     _Istateicps_24 |  -.0052935   .0091995    -0.58   0.565    -.0233889    .0128019
     _Istateicps_25 |  -.0215885   .0094216    -2.29   0.023    -.0401208   -.0030562
     _Istateicps_31 |  -.0450751   .0088052    -5.12   0.000    -.0623949   -.0277553
     _Istateicps_32 |  -.0452804   .0100592    -4.50   0.000     -.065067   -.0254938
     _Istateicps_33 |  -.0358803   .0097899    -3.67   0.000     -.055137   -.0166235
     _Istateicps_34 |  -.0398552   .0077026    -5.17   0.000    -.0550063   -.0247041
     _Istateicps_35 |  -.0477249    .009236    -5.17   0.000    -.0658922   -.0295576
     _Istateicps_36 |  -.0479956   .0083579    -5.74   0.000    -.0644356   -.0315556
     _Istateicps_37 |  -.0572211   .0088898    -6.44   0.000    -.0747074   -.0397348
     _Istateicps_40 |  -.0440567   .0062184    -7.08   0.000    -.0562883   -.0318251
     _Istateicps_41 |  -.0602092   .0061239    -9.83   0.000    -.0722549   -.0481635
     _Istateicps_42 |  -.0475473    .009088    -5.23   0.000    -.0654235   -.0296712
     _Istateicps_43 |  -.0265155   .0105617    -2.51   0.013    -.0472904   -.0057406
     _Istateicps_44 |  -.0489854   .0064465    -7.60   0.000    -.0616657   -.0363051
     _Istateicps_45 |  -.0440218   .0095874    -4.59   0.000    -.0628804   -.0251632
     _Istateicps_46 |  -.0569195    .008337    -6.83   0.000    -.0733183   -.0405206
     _Istateicps_47 |  -.0469328   .0066225    -7.09   0.000    -.0599593   -.0339063
     _Istateicps_48 |  -.0471956   .0083674    -5.64   0.000    -.0636544   -.0307369
     _Istateicps_49 |  -.0358882   .0091992    -3.90   0.000     -.053983   -.0177934
     _Istateicps_51 |   -.041988   .0095694    -4.39   0.000     -.060811    -.023165
     _Istateicps_52 |  -.0372624   .0084018    -4.44   0.000    -.0537887    -.020736
     _Istateicps_53 |  -.0169595   .0095925    -1.77   0.078    -.0358281    .0019091
     _Istateicps_54 |  -.0460757   .0069116    -6.67   0.000    -.0596709   -.0324806
     _Istateicps_56 |  -.0149675   .0065957    -2.27   0.024    -.0279412   -.0019938
     _Istateicps_61 |  -.0111985   .0125764    -0.89   0.374    -.0359364    .0135395
     _Istateicps_62 |   .0018081   .0103173     0.18   0.861     -.018486    .0221023
     _Istateicps_63 |  -.0265526   .0104443    -2.54   0.011    -.0470967   -.0060086
     _Istateicps_64 |  -.0139845   .0117838    -1.19   0.236    -.0371634    .0091944
     _Istateicps_65 |   .0030487   .0104483     0.29   0.771    -.0175031    .0236005
     _Istateicps_66 |  -.0240739   .0122864    -1.96   0.051    -.0482414    .0000936
     _Istateicps_67 |  -.0285142   .0086226    -3.31   0.001     -.045475   -.0115534
     _Istateicps_68 |  -.0206262   .0110551    -1.87   0.063    -.0423717    .0011193
     _Istateicps_71 |  -.0022543   .0064792    -0.35   0.728    -.0149989    .0104902
     _Istateicps_72 |  -.0107366   .0097238    -1.10   0.270    -.0298634    .0083901
     _Istateicps_73 |  -.0088271   .0089392    -0.99   0.324    -.0264107    .0087564
     _Istateicps_98 |          0  (omitted)
              _cons |   .0924056   .0054714    16.89   0.000     .0816433    .1031679
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(47, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1323
                                                Root MSE          =     .46756

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
          c30urban1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0234667   .0186656    -1.26   0.210     -.060182    .0132487
          iAGRI_T73 |  -.0393242   .0205757    -1.91   0.057    -.0797969    .0011484
      _Istateicps_2 |   -.176669   .0973982    -1.81   0.071     -.368252    .0149141
      _Istateicps_3 |   1.21e-13   6.59e-08     0.00   1.000    -1.30e-07    1.30e-07
      _Istateicps_4 |  -.0806885   .0347089    -2.32   0.021    -.1489611    -.012416
      _Istateicps_5 |   1.28e-13   5.77e-08     0.00   1.000    -1.14e-07    1.14e-07
      _Istateicps_6 |  -.3571428   .0811264    -4.40   0.000    -.5167191   -.1975666
     _Istateicps_11 |   1.21e-13   6.73e-08     0.00   1.000    -1.32e-07    1.32e-07
     _Istateicps_12 |   -.047619   .0341138    -1.40   0.164    -.1147212    .0194831
     _Istateicps_13 |  -.0024861   .0329946    -0.08   0.940    -.0673868    .0624145
     _Istateicps_14 |  -.0897309   .0418475    -2.14   0.033    -.1720451   -.0074166
     _Istateicps_21 |   -.207687   .0561475    -3.70   0.000    -.3181295   -.0972445
     _Istateicps_22 |  -.1805946   .0760768    -2.37   0.018    -.3302382   -.0309509
     _Istateicps_23 |  -.2686981   .1007227    -2.67   0.008    -.4668204   -.0705759
     _Istateicps_24 |  -.0852917   .0542394    -1.57   0.117    -.1919809    .0213975
     _Istateicps_25 |  -.2364106   .0671434    -3.52   0.000    -.3684821   -.1043391
     _Istateicps_31 |  -.2199513   .0685663    -3.21   0.001    -.3548217   -.0850809
     _Istateicps_32 |  -.4356847   .0980248    -4.44   0.000    -.6285003   -.2428692
     _Istateicps_33 |   -.377016   .0837464    -4.50   0.000    -.5417459   -.2122861
     _Istateicps_34 |  -.4789946   .0607882    -7.88   0.000    -.5985654   -.3594237
     _Istateicps_35 |  -.5778439   .1181112    -4.89   0.000    -.8101695   -.3455183
     _Istateicps_36 |  -.7065737   .0749948    -9.42   0.000    -.8540891   -.5590583
     _Istateicps_37 |  -.6986846   .0712519    -9.81   0.000    -.8388376   -.5585315
     _Istateicps_40 |       -.66   .0600601   -10.99   0.000    -.7781387   -.5418613
     _Istateicps_41 |  -.4848483   .0564783    -8.58   0.000    -.5959416   -.3737549
     _Istateicps_42 |  -.3549206   .0941909    -3.77   0.000    -.5401948   -.1696464
     _Istateicps_43 |  -.4606346   .0750431    -6.14   0.000    -.6082449   -.3130244
     _Istateicps_44 |  -.6202517   .0354208   -17.51   0.000    -.6899247   -.5505788
     _Istateicps_45 |  -.4283254   .0525785    -8.15   0.000    -.5317476   -.3249032
     _Istateicps_46 |   -.531842    .052856   -10.06   0.000    -.6358102   -.4278738
     _Istateicps_47 |  -.4489414    .072482    -6.19   0.000     -.591514   -.3063689
     _Istateicps_48 |  -.2625126   .0818185    -3.21   0.001    -.4234503    -.101575
     _Istateicps_49 |  -.4325086   .0505485    -8.56   0.000    -.5319379   -.3330793
     _Istateicps_51 |  -.5949845   .0670819    -8.87   0.000    -.7269351   -.4630339
     _Istateicps_52 |  -.3181818   .0944087    -3.37   0.001    -.5038844   -.1324792
     _Istateicps_53 |  -.2893986   .0966347    -2.99   0.003    -.4794798   -.0993174
     _Istateicps_54 |  -.5327031   .0491329   -10.84   0.000    -.6293478   -.4360584
     _Istateicps_56 |  -.4810726   .0509542    -9.44   0.000    -.5812999   -.3808453
     _Istateicps_61 |  -.3742245   .1106034    -3.38   0.001    -.5917823   -.1566668
     _Istateicps_62 |  -.5322335   .1106299    -4.81   0.000    -.7498433   -.3146237
     _Istateicps_63 |  -.4915772   .1404878    -3.50   0.001    -.7679177   -.2152366
     _Istateicps_64 |  -.6225849   .0758509    -8.21   0.000    -.7717841   -.4733857
     _Istateicps_65 |  -.7099298   .1154479    -6.15   0.000    -.9370166    -.482843
     _Istateicps_66 |  -.4183648   .1003427    -4.17   0.000    -.6157396     -.22099
     _Istateicps_67 |  -.5329419   .1193982    -4.46   0.000    -.7677989   -.2980848
     _Istateicps_68 |  -.6303691   .1163232    -5.42   0.000    -.8591776   -.4015606
     _Istateicps_71 |  -.2565582   .0731471    -3.51   0.001    -.4004391   -.1126773
     _Istateicps_72 |  -.2639107   .1165776    -2.26   0.024    -.4932196   -.0346018
     _Istateicps_73 |  -.3343042   .1064274    -3.14   0.002    -.5436478   -.1249606
     _Istateicps_98 |          0  (omitted)
              _cons |          1   7.60e-08  1.3e+07   0.000     .9999999           1
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5061
                                                Root MSE          =     .01552

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             c30men |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0011241   .0009827     1.14   0.253     -.000809    .0030572
          iAGRI_T73 |   .0030428   .0013139     2.32   0.021     .0004584    .0056271
      _Istateicps_2 |   .0057909   .0051265     1.13   0.259     -.004293    .0158747
      _Istateicps_3 |   -.009907    .001938    -5.11   0.000     -.013719    -.006095
      _Istateicps_4 |  -.0005267   .0037994    -0.14   0.890    -.0080001    .0069467
      _Istateicps_5 |  -.0038392   .0015047    -2.55   0.011     -.006799   -.0008795
      _Istateicps_6 |   .0123583   .0026764     4.62   0.000     .0070937    .0176229
     _Istateicps_11 |   .0060198   .0019156     3.14   0.002     .0022518    .0097879
     _Istateicps_12 |   .0054338   .0018195     2.99   0.003     .0018548    .0090129
     _Istateicps_13 |   .0042901   .0024483     1.75   0.081    -.0005257    .0091059
     _Istateicps_14 |   .0055992   .0028604     1.96   0.051    -.0000272    .0112256
     _Istateicps_21 |   .0070421   .0032179     2.19   0.029     .0007126    .0133717
     _Istateicps_22 |   .0056487   .0034999     1.61   0.107    -.0012357    .0125331
     _Istateicps_23 |   .0219657   .0044318     4.96   0.000     .0132483    .0306831
     _Istateicps_24 |   .0058571   .0029111     2.01   0.045      .000131    .0115832
     _Istateicps_25 |   .0192625   .0041506     4.64   0.000     .0110983    .0274267
     _Istateicps_31 |   .0074583   .0033695     2.21   0.028     .0008304    .0140862
     _Istateicps_32 |   .0130307   .0048555     2.68   0.008     .0034799    .0225815
     _Istateicps_33 |   .0246031   .0041764     5.89   0.000     .0163881    .0328182
     _Istateicps_34 |   .0098005   .0033053     2.97   0.003      .003299     .016302
     _Istateicps_35 |   .0175609   .0050091     3.51   0.001      .007708    .0274138
     _Istateicps_36 |   .0285569    .003612     7.91   0.000      .021452    .0356617
     _Istateicps_37 |   .0265685   .0050635     5.25   0.000     .0166086    .0365284
     _Istateicps_40 |   .0095527    .002542     3.76   0.000     .0045526    .0145529
     _Istateicps_41 |  -.0008799   .0026548    -0.33   0.741     -.006102    .0043421
     _Istateicps_42 |   .0057337   .0029286     1.96   0.051    -.0000269    .0114944
     _Istateicps_43 |   .0169165   .0043927     3.85   0.000     .0082761    .0255569
     _Istateicps_44 |  -.0000656   .0024356    -0.03   0.979    -.0048565    .0047252
     _Istateicps_45 |   .0078054   .0021231     3.68   0.000     .0036293    .0119816
     _Istateicps_46 |   .0002283   .0021629     0.11   0.916    -.0040262    .0044828
     _Istateicps_47 |  -.0004622   .0019523    -0.24   0.813    -.0043025    .0033781
     _Istateicps_48 |  -.0101546   .0026393    -3.85   0.000    -.0153461   -.0049632
     _Istateicps_49 |   .0164655   .0036846     4.47   0.000     .0092179    .0237131
     _Istateicps_51 |   .0093283   .0025061     3.72   0.000     .0043988    .0142578
     _Istateicps_52 |    .015216   .0035777     4.25   0.000     .0081786    .0222535
     _Istateicps_53 |   .0148358   .0031472     4.71   0.000     .0086452    .0210264
     _Istateicps_54 |   .0033025   .0021922     1.51   0.133    -.0010097    .0076146
     _Istateicps_56 |    .014629   .0025117     5.82   0.000     .0096884    .0195696
     _Istateicps_61 |    .038461   .0068873     5.58   0.000     .0249136    .0520084
     _Istateicps_62 |   .0329866   .0064004     5.15   0.000      .020397    .0455762
     _Istateicps_63 |   .0398375   .0091873     4.34   0.000      .021766    .0579091
     _Istateicps_64 |   .0507151   .0046761    10.85   0.000     .0415172    .0599129
     _Istateicps_65 |    .094846   .0114528     8.28   0.000     .0723183    .1173736
     _Istateicps_66 |   .0202718   .0041171     4.92   0.000     .0121733    .0283702
     _Istateicps_67 |   .0228634   .0041174     5.55   0.000     .0147645    .0309623
     _Istateicps_68 |    .051965   .0040776    12.74   0.000     .0439443    .0599857
     _Istateicps_71 |   .0585516   .0077292     7.58   0.000     .0433483    .0737549
     _Istateicps_72 |   .0421366   .0083173     5.07   0.000     .0257764    .0584968
     _Istateicps_73 |   .0443856   .0045434     9.77   0.000     .0354487    .0533226
     _Istateicps_98 |          0  (omitted)
              _cons |   .5000302   .0015047   332.31   0.000     .4970704    .5029899
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6399
                                                Root MSE          =     .11138

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
           c30black |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0079253   .0120855     0.66   0.512     -.015847    .0316977
          iAGRI_T73 |  -.0167801    .012896    -1.30   0.194    -.0421466    .0085864
      _Istateicps_2 |  -.0073933   .0038069    -1.94   0.053    -.0148814    .0000948
      _Istateicps_3 |   .0003227   .0058292     0.06   0.956    -.0111434    .0117888
      _Istateicps_4 |  -.0030367   .0069065    -0.44   0.660    -.0166218    .0105484
      _Istateicps_5 |    .004523   .0012532     3.61   0.000      .002058    .0069881
      _Istateicps_6 |  -.0118017   .0012993    -9.08   0.000    -.0143576   -.0092459
     _Istateicps_11 |   .1495498   .0226095     6.61   0.000     .1050766    .1940229
     _Istateicps_12 |   .0427177   .0182324     2.34   0.020     .0068544     .078581
     _Istateicps_13 |  -.0089058   .0150467    -0.59   0.554    -.0385027    .0206912
     _Istateicps_14 |  -.0035392   .0095019    -0.37   0.710    -.0222295    .0151511
     _Istateicps_21 |  -.0139365   .0303281    -0.46   0.646    -.0735922    .0457191
     _Istateicps_22 |  -.0201062   .0302083    -0.67   0.506    -.0795261    .0393137
     _Istateicps_23 |  -.0223121   .0282217    -0.79   0.430    -.0778245    .0332002
     _Istateicps_24 |  -.0038342   .0273971    -0.14   0.889    -.0577245     .050056
     _Istateicps_25 |  -.0272403   .0295115    -0.92   0.357    -.0852897    .0308091
     _Istateicps_31 |   -.026013    .034232    -0.76   0.448    -.0933475    .0413216
     _Istateicps_32 |  -.0106962   .0434036    -0.25   0.805    -.0960713    .0746789
     _Istateicps_33 |  -.0341974   .0334339    -1.02   0.307    -.0999621    .0315674
     _Istateicps_34 |  -.0011642   .0305089    -0.04   0.970    -.0611754    .0588471
     _Istateicps_35 |  -.0389134   .0419965    -0.93   0.355    -.1215209    .0436941
     _Istateicps_36 |   -.035288   .0345399    -1.02   0.308    -.1032283    .0326523
     _Istateicps_37 |  -.0372867   .0381623    -0.98   0.329    -.1123523    .0377789
     _Istateicps_40 |   .2779106   .0746029     3.73   0.000     .1311662    .4246551
     _Istateicps_41 |   .3495733   .0716196     4.88   0.000      .208697    .4904496
     _Istateicps_42 |   .1884673   .0732807     2.57   0.011     .0443237    .3326109
     _Istateicps_43 |   .2962459   .0207139    14.30   0.000     .2555016    .3369903
     _Istateicps_44 |   .3651822   .0524758     6.96   0.000     .2619619    .4684024
     _Istateicps_45 |   .3791627   .0339272    11.18   0.000     .3124276    .4458978
     _Istateicps_46 |   .4473224   .0506354     8.83   0.000     .3477221    .5469226
     _Istateicps_47 |   .2626818   .0560876     4.68   0.000     .1523571    .3730065
     _Istateicps_48 |   .4943332   .0564618     8.76   0.000     .3832724    .6053941
     _Istateicps_49 |   .0905519    .055719     1.63   0.105    -.0190478    .2001516
     _Istateicps_51 |   .0449617   .0281554     1.60   0.111    -.0104202    .1003437
     _Istateicps_52 |    .192458   .0430375     4.47   0.000     .1078029    .2771131
     _Istateicps_53 |   .0243685   .0332461     0.73   0.464    -.0410269    .0897639
     _Istateicps_54 |   .1005297   .0403506     2.49   0.013     .0211597    .1798997
     _Istateicps_56 |   .0250989   .0108745     2.31   0.022     .0037085    .0464892
     _Istateicps_61 |  -.0094675   .0224723    -0.42   0.674    -.0536707    .0347357
     _Istateicps_62 |  -.0284442   .0371686    -0.77   0.445    -.1015551    .0446666
     _Istateicps_63 |  -.0348445   .0343035    -1.02   0.310    -.1023197    .0326308
     _Istateicps_64 |  -.0351949   .0359371    -0.98   0.328    -.1058834    .0354937
     _Istateicps_65 |  -.0274422   .0283576    -0.97   0.334    -.0832217    .0283373
     _Istateicps_66 |  -.0236398    .023772    -0.99   0.321    -.0703996      .02312
     _Istateicps_67 |  -.0300042    .027507    -1.09   0.276    -.0841106    .0241023
     _Istateicps_68 |  -.0312358   .0336662    -0.93   0.354    -.0974575    .0349859
     _Istateicps_71 |  -.0159753   .0176963    -0.90   0.367    -.0507841    .0188335
     _Istateicps_72 |  -.0222042   .0288637    -0.77   0.442    -.0789794     .034571
     _Istateicps_73 |  -.0227818   .0180676    -1.26   0.208    -.0583209    .0127573
     _Istateicps_98 |          0  (omitted)
              _cons |   .0131047   .0012532    10.46   0.000     .0106397    .0155698
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4288
                                                Root MSE          =     .54845

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
            iYf_T29 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0783662   .0529548    -1.48   0.140    -.1825288    .0257963
          iAGRI_T73 |  -.0330663   .0483448    -0.68   0.494    -.1281608    .0620282
      _Istateicps_2 |  -.7813689   .0585949   -13.34   0.000    -.8966255   -.6661123
      _Istateicps_3 |   .4427462   .2803169     1.58   0.115    -.1086391    .9941316
      _Istateicps_4 |   -.777656     .05246   -14.82   0.000    -.8808453   -.6744667
      _Istateicps_5 |   .2070579   .0365529     5.66   0.000     .1351581    .2789577
      _Istateicps_6 |  -.7925711   .0561653   -14.11   0.000    -.9030487   -.6820934
     _Istateicps_11 |   -.316408   .0367665    -8.61   0.000     -.388728    -.244088
     _Istateicps_12 |   .8453697   .1908699     4.43   0.000     .4699272    1.220812
     _Istateicps_13 |  -.2327249   .1465328    -1.59   0.113    -.5209559    .0555062
     _Istateicps_14 |  -.4830553   .1224748    -3.94   0.000    -.7239641   -.2421465
     _Istateicps_21 |  -.5429216   .1665785    -3.26   0.001    -.8705827   -.2152606
     _Istateicps_22 |  -.5585546   .1633123    -3.42   0.001    -.8797911   -.2373181
     _Istateicps_23 |  -.6788593   .1599548    -4.24   0.000    -.9934914   -.3642271
     _Istateicps_24 |  -.4602208    .159034    -2.89   0.004    -.7730419   -.1473997
     _Istateicps_25 |  -.4245995   .1564101    -2.71   0.007    -.7322593   -.1169396
     _Istateicps_31 |   -.241925   .1543104    -1.57   0.118    -.5454548    .0616047
     _Istateicps_32 |   -.915998   .1997106    -4.59   0.000     -1.30883   -.5231657
     _Istateicps_33 |  -.6718388   .1791748    -3.75   0.000    -1.024277   -.3194008
     _Istateicps_34 |  -.8977052   .1852259    -4.85   0.000    -1.262046   -.5333645
     _Istateicps_35 |  -.9143172   .3522201    -2.60   0.010    -1.607137   -.2214976
     _Istateicps_36 |  -1.529723   .1716595    -8.91   0.000    -1.867379   -1.192068
     _Istateicps_37 |  -1.374175   .2832432    -4.85   0.000    -1.931317   -.8170337
     _Istateicps_40 |   -.999944   .1047844    -9.54   0.000    -1.206056   -.7938323
     _Istateicps_41 |  -.9950355   .0809756   -12.29   0.000    -1.154315   -.8357558
     _Istateicps_42 |  -.7757452   .1818045    -4.27   0.000    -1.133356   -.4181344
     _Istateicps_43 |  -.5886389   .2903288    -2.03   0.043    -1.159718     -.01756
     _Istateicps_44 |  -1.160253   .0560274   -20.71   0.000    -1.270459   -1.050046
     _Istateicps_45 |  -.5868942   .0787271    -7.45   0.000    -.7417509   -.4320374
     _Istateicps_46 |  -.8204307   .1353891    -6.06   0.000    -1.086742   -.5541194
     _Istateicps_47 |  -.8035691   .1260035    -6.38   0.000    -1.051419   -.5557193
     _Istateicps_48 |  -.8507193   .1190063    -7.15   0.000    -1.084806    -.616633
     _Istateicps_49 |  -1.554347   .2127487    -7.31   0.000    -1.972825   -1.135869
     _Istateicps_51 |  -.9588225   .2169225    -4.42   0.000    -1.385511   -.5321343
     _Istateicps_52 |   -.491287   .1190453    -4.13   0.000      -.72545   -.2571239
     _Istateicps_53 |  -1.066159   .1553064    -6.86   0.000    -1.371648     -.76067
     _Istateicps_54 |  -.9853913   .1263114    -7.80   0.000    -1.233847   -.7369359
     _Istateicps_56 |  -1.187491   .0685445   -17.32   0.000    -1.322318   -1.052663
     _Istateicps_61 |  -1.705084   .4297148    -3.97   0.000    -2.550337   -.8598321
     _Istateicps_62 |  -1.385953   .2005773    -6.91   0.000     -1.78049   -.9914164
     _Istateicps_63 |  -.7099627   .2304749    -3.08   0.002    -1.163308   -.2566168
     _Istateicps_64 |  -1.990811    .208327    -9.56   0.000    -2.400592   -1.581031
     _Istateicps_65 |  -1.296608   .2210508    -5.87   0.000    -1.731417   -.8617994
     _Istateicps_66 |  -2.357484   .1379117   -17.09   0.000    -2.628758   -2.086211
     _Istateicps_67 |  -.8885928   .1752158    -5.07   0.000    -1.233244    -.543942
     _Istateicps_68 |  -2.023192   .2548213    -7.94   0.000    -2.524427   -1.521956
     _Istateicps_71 |  -.6485639   .2147259    -3.02   0.003    -1.070931   -.2261965
     _Istateicps_72 |  -1.018237   .2792469    -3.65   0.000    -1.567517   -.4689559
     _Istateicps_73 |  -.5955679   .2200119    -2.71   0.007    -1.028333   -.1628029
     _Istateicps_98 |          0  (omitted)
              _cons |   4.137028   .0365529   113.18   0.000     4.065128    4.208927
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3795
                                                Root MSE          =     .17948

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
            c30farm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0248351   .0105725     2.35   0.019      .004039    .0456313
          iAGRI_T73 |   .0214574   .0136471     1.57   0.117    -.0053865    .0483013
      _Istateicps_2 |   .1296389   .0294312     4.40   0.000     .0717475    .1875302
      _Istateicps_3 |  -.0467601   .0210119    -2.23   0.027    -.0880905   -.0054296
      _Istateicps_4 |    .041915   .0140283     2.99   0.003     .0143212    .0695088
      _Istateicps_5 |  -.0513296   .0121249    -4.23   0.000    -.0751794   -.0274798
      _Istateicps_6 |   .2629871    .028399     9.26   0.000     .2071262    .3188481
     _Istateicps_11 |   .2217892   .1259937     1.76   0.079    -.0260414    .4696198
     _Istateicps_12 |  -.0172203   .0127674    -1.35   0.178    -.0423339    .0078933
     _Istateicps_13 |   .0865692   .0323586     2.68   0.008     .0229196    .1502188
     _Istateicps_14 |   .0858714   .0298463     2.88   0.004     .0271635    .1445793
     _Istateicps_21 |   .2202398   .0397153     5.55   0.000     .1421194    .2983601
     _Istateicps_22 |   .2444366   .0346169     7.06   0.000     .1763448    .3125283
     _Istateicps_23 |   .2235595   .0457159     4.89   0.000     .1336359     .313483
     _Istateicps_24 |   .1739863   .0342772     5.08   0.000     .1065629    .2414098
     _Istateicps_25 |   .2880933   .0406037     7.10   0.000     .2082254    .3679611
     _Istateicps_31 |   .3068026   .0372333     8.24   0.000     .2335643    .3800408
     _Istateicps_32 |   .2977009   .0447518     6.65   0.000     .2096739     .385728
     _Istateicps_33 |   .3721556   .0426779     8.72   0.000     .2882078    .4561034
     _Istateicps_34 |   .4092276   .0361459    11.32   0.000     .3381283    .4803268
     _Istateicps_35 |   .3918936    .047802     8.20   0.000     .2978668    .4859204
     _Istateicps_36 |   .4696678   .0373209    12.58   0.000     .3962573    .5430783
     _Istateicps_37 |   .4489551   .0400481    11.21   0.000     .3701801      .52773
     _Istateicps_40 |   .4456688   .0233799    19.06   0.000     .3996804    .4916573
     _Istateicps_41 |   .5464961   .0236198    23.14   0.000     .5000357    .5929565
     _Istateicps_42 |   .5050041   .0361139    13.98   0.000     .4339679    .5760404
     _Istateicps_43 |   .1725271   .0525049     3.29   0.001     .0692496    .2758045
     _Istateicps_44 |   .5263011    .025362    20.75   0.000     .4764138    .5761885
     _Istateicps_45 |   .4192535   .0567925     7.38   0.000     .3075422    .5309647
     _Istateicps_46 |   .5710621   .0370665    15.41   0.000     .4981519    .6439722
     _Istateicps_47 |   .4780465   .0235412    20.31   0.000     .4317407    .5243522
     _Istateicps_48 |   .4532457   .0264237    17.15   0.000     .4012702    .5052213
     _Istateicps_49 |   .3664131    .045139     8.12   0.000     .2776245    .4552018
     _Istateicps_51 |   .4823946    .038737    12.45   0.000     .4061987    .5585906
     _Istateicps_52 |   .2509432   .0370832     6.77   0.000     .1780002    .3238862
     _Istateicps_53 |   .3783269   .0388798     9.73   0.000       .30185    .4548037
     _Istateicps_54 |   .5001659   .0310128    16.13   0.000     .4391635    .5611683
     _Istateicps_56 |   .2772145   .0312047     8.88   0.000     .2158346    .3385944
     _Istateicps_61 |   .1364399   .0643633     2.12   0.035     .0098368    .2630429
     _Istateicps_62 |   .2361239    .042262     5.59   0.000     .1529943    .3192535
     _Istateicps_63 |   .2879606    .039129     7.36   0.000     .2109936    .3649276
     _Istateicps_64 |   .3038092   .0581575     5.22   0.000      .189413    .4182055
     _Istateicps_65 |    .034931   .0325557     1.07   0.284    -.0291064    .0989684
     _Istateicps_66 |   .2609182   .0448814     5.81   0.000     .1726361    .3492004
     _Istateicps_67 |   .1966991   .0364498     5.40   0.000     .1250022    .2683961
     _Istateicps_68 |    .243048   .0494999     4.91   0.000     .1456813    .3404147
     _Istateicps_71 |   .1203169   .0315793     3.81   0.000     .0582001    .1824336
     _Istateicps_72 |   .2131576   .0322376     6.61   0.000      .149746    .2765692
     _Istateicps_73 |   .2071844   .0388078     5.34   0.000     .1308493    .2835196
     _Istateicps_98 |          0  (omitted)
              _cons |   .1070971   .0121249     8.83   0.000     .0832474    .1309469
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3616
                                                Root MSE          =     .00317

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             c30jap |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0001594   .0001938     0.82   0.411    -.0002219    .0005407
          iAGRI_T73 |   .0002019    .000172     1.17   0.241    -.0001365    .0005404
      _Istateicps_2 |   -.000149   .0000525    -2.84   0.005    -.0002523   -.0000457
      _Istateicps_3 |  -.0000107   .0000213    -0.50   0.615    -.0000527    .0000312
      _Istateicps_4 |  -.0001707   .0000923    -1.85   0.065    -.0003523    .0000108
      _Istateicps_5 |  -.0000282   .0000205    -1.38   0.169    -.0000685    .0000121
      _Istateicps_6 |  -.0000812    .000023    -3.52   0.000    -.0001265   -.0000359
     _Istateicps_11 |  -.0000838    .000026    -3.23   0.001    -.0001349   -.0000328
     _Istateicps_12 |   .0000585   .0000349     1.67   0.095    -.0000103    .0001272
     _Istateicps_13 |  -.0002208   .0002189    -1.01   0.314    -.0006513    .0002097
     _Istateicps_14 |  -.0001919   .0001343    -1.43   0.154    -.0004561    .0000723
     _Istateicps_21 |  -.0004684   .0004717    -0.99   0.321    -.0013962    .0004593
     _Istateicps_22 |  -.0004728    .000485    -0.97   0.330    -.0014269    .0004812
     _Istateicps_23 |  -.0004582   .0004466    -1.03   0.306    -.0013366    .0004202
     _Istateicps_24 |  -.0004385   .0004243    -1.03   0.302     -.001273    .0003961
     _Istateicps_25 |  -.0005116   .0004587    -1.12   0.265    -.0014139    .0003907
     _Istateicps_31 |  -.0005895   .0005269    -1.12   0.264    -.0016258    .0004469
     _Istateicps_32 |  -.0007522   .0006469    -1.16   0.246    -.0020247    .0005202
     _Istateicps_33 |  -.0005253   .0005363    -0.98   0.328    -.0015801    .0005295
     _Istateicps_34 |   -.000469   .0004639    -1.01   0.313    -.0013814    .0004434
     _Istateicps_35 |  -.0003102   .0007151    -0.43   0.665    -.0017169    .0010965
     _Istateicps_36 |  -.0004636   .0005559    -0.83   0.405     -.001557    .0006299
     _Istateicps_37 |  -.0005565   .0006123    -0.91   0.364    -.0017609    .0006479
     _Istateicps_40 |  -.0000844   .0000212    -3.97   0.000    -.0001262   -.0000426
     _Istateicps_41 |  -.0000951   .0000207    -4.59   0.000    -.0001358   -.0000543
     _Istateicps_42 |  -.0004686   .0003872    -1.21   0.227    -.0012303    .0002931
     _Istateicps_43 |  -.0000235   .0000461    -0.51   0.611    -.0001141    .0000671
     _Istateicps_44 |  -.0001124   .0000408    -2.75   0.006    -.0001927   -.0000321
     _Istateicps_45 |  -.0001424   .0000902    -1.58   0.115    -.0003199    .0000351
     _Istateicps_46 |  -.0002825   .0001836    -1.54   0.125    -.0006437    .0000786
     _Istateicps_47 |  -.0001241    .000062    -2.00   0.046    -.0002459   -2.22e-06
     _Istateicps_48 |  -.0003335   .0002199    -1.52   0.130    -.0007661    .0000991
     _Istateicps_49 |  -.0004029   .0003073    -1.31   0.191    -.0010073    .0002015
     _Istateicps_51 |  -.0003547   .0003177    -1.12   0.265    -.0009796    .0002703
     _Istateicps_52 |  -.0000713   .0000236    -3.02   0.003    -.0001177   -.0000249
     _Istateicps_53 |  -.0004837   .0005066    -0.95   0.340    -.0014802    .0005128
     _Istateicps_54 |   -.000322   .0002291    -1.41   0.161    -.0007726    .0001287
     _Istateicps_56 |  -.0001532   .0000901    -1.70   0.090    -.0003304    .0000239
     _Istateicps_61 |   .0007592   .0004916     1.54   0.123    -.0002078    .0017261
     _Istateicps_62 |   .0024286   .0008246     2.95   0.003     .0008065    .0040507
     _Istateicps_63 |   .0023618   .0008986     2.63   0.009     .0005942    .0041294
     _Istateicps_64 |   .0010157   .0006532     1.55   0.121    -.0002692    .0023006
     _Istateicps_65 |   .0044354   .0016851     2.63   0.009     .0011208      .00775
     _Istateicps_66 |   .0000225   .0003909     0.06   0.954    -.0007464    .0007913
     _Istateicps_67 |   .0044823   .0013603     3.30   0.001     .0018066    .0071579
     _Istateicps_68 |   .0034257   .0012032     2.85   0.005     .0010589    .0057925
     _Istateicps_71 |    .015392   .0027046     5.69   0.000     .0100721    .0207119
     _Istateicps_72 |   .0038995   .0015708     2.48   0.014     .0008096    .0069893
     _Istateicps_73 |   .0036758   .0008527     4.31   0.000     .0019986    .0053531
     _Istateicps_98 |          0  (omitted)
              _cons |   .0001006   .0000205     4.91   0.000     .0000603    .0001409
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5862
                                                Root MSE          =     .03762

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             c30deu |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0002971   .0022957     0.13   0.897    -.0042185    .0048128
          iAGRI_T73 |   -.000139   .0027585    -0.05   0.960    -.0055649    .0052869
      _Istateicps_2 |  -.0465577   .0012008   -38.77   0.000    -.0489197   -.0441957
      _Istateicps_3 |  -.0294454   .0037106    -7.94   0.000    -.0367442   -.0221466
      _Istateicps_4 |  -.0426748   .0018579   -22.97   0.000    -.0463294   -.0390203
      _Istateicps_5 |  -.0347267   .0008137   -42.68   0.000    -.0363273   -.0331261
      _Istateicps_6 |  -.0440923   .0016931   -26.04   0.000    -.0474226   -.0407621
     _Istateicps_11 |  -.0309875   .0054682    -5.67   0.000    -.0417435   -.0202315
     _Istateicps_12 |   .0179438   .0075355     2.38   0.018     .0031215    .0327661
     _Istateicps_13 |    .003994   .0063827     0.63   0.532    -.0085608    .0165488
     _Istateicps_14 |  -.0129963   .0051811    -2.51   0.013    -.0231875   -.0028051
     _Istateicps_21 |   .0325966   .0135901     2.40   0.017     .0058647    .0593285
     _Istateicps_22 |  -.0013611   .0100558    -0.14   0.892    -.0211409    .0184187
     _Istateicps_23 |   .0230852   .0079999     2.89   0.004     .0073495     .038821
     _Istateicps_24 |   .0090407   .0112539     0.80   0.422    -.0130959    .0311773
     _Istateicps_25 |   .1277273   .0183164     6.97   0.000     .0916988    .1637558
     _Istateicps_31 |   .0709444   .0185151     3.83   0.000      .034525    .1073637
     _Istateicps_32 |   .0117148   .0097912     1.20   0.232    -.0075446    .0309741
     _Istateicps_33 |   .0946787   .0200176     4.73   0.000     .0553039    .1340535
     _Istateicps_34 |  -.0063502   .0107542    -0.59   0.555    -.0275038    .0148034
     _Istateicps_35 |   .0722674   .0175933     4.11   0.000     .0376612    .1068736
     _Istateicps_36 |   .0307446   .0082965     3.71   0.000     .0144253    .0470639
     _Istateicps_37 |   .0566808   .0117709     4.82   0.000     .0335274    .0798341
     _Istateicps_40 |  -.0466976   .0010911   -42.80   0.000    -.0488438   -.0445514
     _Istateicps_41 |  -.0476403   .0013136   -36.27   0.000    -.0502241   -.0450564
     _Istateicps_42 |  -.0427781   .0048279    -8.86   0.000    -.0522745   -.0332817
     _Istateicps_43 |  -.0389433   .0032572   -11.96   0.000    -.0453503   -.0325364
     _Istateicps_44 |   -.048998   .0009198   -53.27   0.000    -.0508072   -.0471888
     _Istateicps_45 |  -.0448448   .0017572   -25.52   0.000    -.0483011   -.0413884
     _Istateicps_46 |  -.0480169    .002237   -21.46   0.000    -.0524171   -.0436167
     _Istateicps_47 |  -.0492926   .0009865   -49.97   0.000     -.051233   -.0473522
     _Istateicps_48 |  -.0486871   .0025286   -19.25   0.000    -.0536608   -.0437134
     _Istateicps_49 |  -.0260648   .0083197    -3.13   0.002    -.0424297      -.0097
     _Istateicps_51 |  -.0433644   .0050175    -8.64   0.000    -.0532339   -.0334949
     _Istateicps_52 |  -.0248152   .0050672    -4.90   0.000    -.0347824   -.0148479
     _Istateicps_53 |  -.0337988   .0072136    -4.69   0.000    -.0479879   -.0196096
     _Istateicps_54 |  -.0486719   .0025342   -19.21   0.000    -.0536567   -.0436871
     _Istateicps_56 |  -.0415825   .0034748   -11.97   0.000    -.0484174   -.0347477
     _Istateicps_61 |  -.0346514   .0048018    -7.22   0.000    -.0440965   -.0252063
     _Istateicps_62 |  -.0010605   .0086878    -0.12   0.903    -.0181495    .0160285
     _Istateicps_63 |  -.0098843   .0080193    -1.23   0.219    -.0256583    .0058897
     _Istateicps_64 |   .0117922   .0073044     1.61   0.107    -.0025756    .0261599
     _Istateicps_65 |   .0123425   .0135998     0.91   0.365    -.0144084    .0390934
     _Istateicps_66 |  -.0392931   .0046584    -8.43   0.000    -.0484561     -.03013
     _Istateicps_67 |  -.0376571   .0056443    -6.67   0.000    -.0487595   -.0265547
     _Istateicps_68 |  -.0083541   .0072863    -1.15   0.252    -.0226863    .0059781
     _Istateicps_71 |   .0006885   .0047868     0.14   0.886    -.0087272    .0101041
     _Istateicps_72 |  -.0008781   .0079325    -0.11   0.912    -.0164814    .0147253
     _Istateicps_73 |   .0109919   .0053572     2.05   0.041     .0004541    .0215296
     _Istateicps_98 |          0  (omitted)
              _cons |   .0502227   .0008137    61.72   0.000      .048622    .0518233
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5118
                                                Root MSE          =     .01643

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             c30ita |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0006623   .0010806     0.61   0.540    -.0014633    .0027879
          iAGRI_T73 |  -.0019862   .0007545    -2.63   0.009    -.0034703   -.0005021
      _Istateicps_2 |    -.10647   .0065976   -16.14   0.000    -.1194474   -.0934926
      _Istateicps_3 |  -.0546856   .0077731    -7.04   0.000    -.0699754   -.0393959
      _Istateicps_4 |  -.1019367   .0065506   -15.56   0.000    -.1148217   -.0890517
      _Istateicps_5 |   .0110906   .0065388     1.70   0.091    -.0017714    .0239526
      _Istateicps_6 |  -.0980576   .0065407   -14.99   0.000    -.1109233    -.085192
     _Istateicps_11 |  -.0896705   .0199387    -4.50   0.000    -.1288901   -.0504509
     _Istateicps_12 |   -.017951   .0121717    -1.47   0.141    -.0418928    .0059908
     _Istateicps_13 |  -.0502456   .0100363    -5.01   0.000    -.0699871   -.0305041
     _Istateicps_14 |  -.0731373    .010349    -7.07   0.000    -.0934939   -.0527807
     _Istateicps_21 |  -.1023302   .0078894   -12.97   0.000    -.1178488   -.0868116
     _Istateicps_22 |  -.1117087   .0071582   -15.61   0.000     -.125789   -.0976284
     _Istateicps_23 |  -.1051999   .0087446   -12.03   0.000    -.1224006   -.0879991
     _Istateicps_24 |  -.1018596   .0086007   -11.84   0.000    -.1187773   -.0849419
     _Istateicps_25 |  -.1060893   .0076899   -13.80   0.000    -.1212154   -.0909632
     _Istateicps_31 |  -.1121429    .007153   -15.68   0.000     -.126213   -.0980729
     _Istateicps_32 |   -.112666   .0073536   -15.32   0.000    -.1271305   -.0982014
     _Istateicps_33 |  -.1130992   .0072345   -15.63   0.000    -.1273294    -.098869
     _Istateicps_34 |  -.1129486   .0070413   -16.04   0.000    -.1267989   -.0990984
     _Istateicps_35 |  -.1142577   .0075511   -15.13   0.000    -.1291108   -.0994047
     _Istateicps_36 |  -.1146959   .0072305   -15.86   0.000    -.1289185   -.1004734
     _Istateicps_37 |  -.1138978   .0073912   -15.41   0.000    -.1284363   -.0993594
     _Istateicps_40 |  -.1121052   .0065399   -17.14   0.000    -.1249692   -.0992413
     _Istateicps_41 |  -.1124885   .0065435   -17.19   0.000    -.1253597   -.0996173
     _Istateicps_42 |  -.1128072   .0068697   -16.42   0.000    -.1263199   -.0992946
     _Istateicps_43 |  -.1100828    .006629   -16.61   0.000    -.1231221   -.0970434
     _Istateicps_44 |  -.1130237    .006542   -17.28   0.000    -.1258918   -.1001556
     _Istateicps_45 |   -.099977   .0082216   -12.16   0.000     -.116149   -.0838051
     _Istateicps_46 |  -.1114786   .0066238   -16.83   0.000    -.1245075   -.0984496
     _Istateicps_47 |   -.112968    .006547   -17.25   0.000     -.125846     -.10009
     _Istateicps_48 |  -.1126828   .0066204   -17.02   0.000    -.1257052   -.0996604
     _Istateicps_49 |  -.1117605   .0067415   -16.58   0.000    -.1250211   -.0984999
     _Istateicps_51 |  -.1135503   .0067751   -16.76   0.000    -.1268771   -.1002236
     _Istateicps_52 |  -.1087615   .0066357   -16.39   0.000    -.1218139   -.0957091
     _Istateicps_53 |  -.1133834   .0071486   -15.86   0.000    -.1274447    -.099322
     _Istateicps_54 |  -.1129536    .006626   -17.05   0.000     -.125987   -.0999203
     _Istateicps_56 |  -.0997377   .0073477   -13.57   0.000    -.1141906   -.0852847
     _Istateicps_61 |  -.1082045    .007072   -15.30   0.000    -.1221151   -.0942938
     _Istateicps_62 |   -.092125   .0086416   -10.66   0.000    -.1091231   -.0751268
     _Istateicps_63 |  -.1097164   .0073538   -14.92   0.000    -.1241814   -.0952515
     _Istateicps_64 |  -.1056692   .0074665   -14.15   0.000    -.1203559   -.0909825
     _Istateicps_65 |  -.0593084   .0104606    -5.67   0.000    -.0798844   -.0387324
     _Istateicps_66 |  -.1082274    .007311   -14.80   0.000    -.1226083   -.0938466
     _Istateicps_67 |  -.1041265   .0079443   -13.11   0.000    -.1197531   -.0884999
     _Istateicps_68 |  -.1016263   .0095609   -10.63   0.000    -.1204327   -.0828199
     _Istateicps_71 |  -.0650164   .0109125    -5.96   0.000    -.0864813   -.0435515
     _Istateicps_72 |  -.1095063   .0069532   -15.75   0.000    -.1231834   -.0958293
     _Istateicps_73 |  -.1051062   .0068808   -15.28   0.000    -.1186408   -.0915717
     _Istateicps_98 |          0  (omitted)
              _cons |   .1131213   .0065388    17.30   0.000     .1002593    .1259833
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2456
                                                Root MSE          =     .03166

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
             c30vet |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0005668    .002443     0.23   0.817    -.0042386    .0053721
          iAGRI_T73 |   .0005417   .0024784     0.22   0.827    -.0043335    .0054168
      _Istateicps_2 |  -.0119734   .0079729    -1.50   0.134    -.0276561    .0037094
      _Istateicps_3 |   .0189826   .0050536     3.76   0.000     .0090421    .0289231
      _Istateicps_4 |  -.0073712   .0029961    -2.46   0.014    -.0132646   -.0014779
      _Istateicps_5 |   .0185182   .0027198     6.81   0.000     .0131683    .0238681
      _Istateicps_6 |  -.0178794    .006597    -2.71   0.007    -.0308557   -.0049031
     _Istateicps_11 |  -.0443067   .0173279    -2.56   0.011    -.0783907   -.0102226
     _Istateicps_12 |   .0073959   .0027637     2.68   0.008     .0019597    .0128321
     _Istateicps_13 |   -.013391   .0069681    -1.92   0.055    -.0270973    .0003153
     _Istateicps_14 |  -.0189225   .0042137    -4.49   0.000    -.0272108   -.0106341
     _Istateicps_21 |  -.0081763   .0079849    -1.02   0.307    -.0238827    .0075302
     _Istateicps_22 |   -.011554    .006997    -1.65   0.100    -.0253171    .0022092
     _Istateicps_23 |  -.0145937   .0074141    -1.97   0.050    -.0291773   -.0000102
     _Istateicps_24 |  -.0182949   .0064496    -2.84   0.005    -.0309813   -.0056085
     _Istateicps_25 |  -.0059458   .0081071    -0.73   0.464    -.0218926     .010001
     _Istateicps_31 |   -.001145   .0081285    -0.14   0.888    -.0171338    .0148438
     _Istateicps_32 |   .0051409   .0097154     0.53   0.597    -.0139693    .0242512
     _Istateicps_33 |    -.00283    .007746    -0.37   0.715    -.0180663    .0124064
     _Istateicps_34 |  -.0237973   .0071042    -3.35   0.001    -.0377714   -.0098232
     _Istateicps_35 |  -.0119467   .0095124    -1.26   0.210    -.0306576    .0067642
     _Istateicps_36 |  -.0205486    .007815    -2.63   0.009    -.0359208   -.0051764
     _Istateicps_37 |   .0207189   .0111663     1.86   0.064    -.0012454    .0426831
     _Istateicps_40 |  -.0229485   .0034043    -6.74   0.000    -.0296447   -.0162523
     _Istateicps_41 |  -.0234959   .0037363    -6.29   0.000    -.0308453   -.0161465
     _Istateicps_42 |  -.0107555   .0061954    -1.74   0.083    -.0229419    .0014308
     _Istateicps_43 |   .0072042   .0103374     0.70   0.486    -.0131296     .027538
     _Istateicps_44 |  -.0282706   .0044908    -6.30   0.000     -.037104   -.0194373
     _Istateicps_45 |  -.0106013   .0038302    -2.77   0.006    -.0181354   -.0030673
     _Istateicps_46 |  -.0205843   .0061217    -3.36   0.001    -.0326257   -.0085429
     _Istateicps_47 |  -.0192188   .0036895    -5.21   0.000    -.0264761   -.0119616
     _Istateicps_48 |  -.0158978   .0068461    -2.32   0.021    -.0293642   -.0024314
     _Istateicps_49 |  -.0036842   .0092658    -0.40   0.691    -.0219101    .0145417
     _Istateicps_51 |  -.0271566   .0055338    -4.91   0.000    -.0380416   -.0162717
     _Istateicps_52 |  -.0066582   .0141692    -0.47   0.639    -.0345292    .0212127
     _Istateicps_53 |   .0090911   .0080327     1.13   0.259    -.0067093    .0248915
     _Istateicps_54 |  -.0255372   .0077009    -3.32   0.001     -.040685   -.0103895
     _Istateicps_56 |  -.0052818   .0034436    -1.53   0.126    -.0120554    .0014919
     _Istateicps_61 |   .0247033   .0137453     1.80   0.073    -.0023339    .0517405
     _Istateicps_62 |   .0165444   .0093652     1.77   0.078    -.0018771    .0349658
     _Istateicps_63 |   .0203554   .0078816     2.58   0.010     .0048523    .0358586
     _Istateicps_64 |   .0227384    .007996     2.84   0.005     .0070102    .0384666
     _Istateicps_65 |   .0283465   .0075033     3.78   0.000     .0135875    .0431056
     _Istateicps_66 |   .0081917   .0083718     0.98   0.329    -.0082757     .024659
     _Istateicps_67 |  -.0009518   .0101095    -0.09   0.925    -.0208373    .0189337
     _Istateicps_68 |   .0768166   .0104745     7.33   0.000     .0562131    .0974201
     _Istateicps_71 |   .0333173   .0063281     5.26   0.000     .0208699    .0457648
     _Istateicps_72 |   .0328754   .0082418     3.99   0.000     .0166637     .049087
     _Istateicps_73 |   .0257663   .0070843     3.64   0.000     .0118315    .0397011
     _Istateicps_98 |          0  (omitted)
              _cons |   .1205803   .0027198    44.33   0.000     .1152303    .1259302
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4762
                                                Root MSE          =       .243

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
           lc40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0044628   .0187264    -0.24   0.812    -.0412977    .0323721
          iAGRI_T73 |   .0044504   .0217037     0.21   0.838    -.0382409    .0471418
      _Istateicps_2 |  -.2989763   .0359768    -8.31   0.000    -.3697429   -.2282097
      _Istateicps_3 |   .0248005   .0508601     0.49   0.626    -.0752416    .1248427
      _Istateicps_4 |  -.1656222   .0247167    -6.70   0.000    -.2142401   -.1170043
      _Istateicps_5 |  -.0573084   .0222667    -2.57   0.010    -.1011071   -.0135097
      _Istateicps_6 |  -.2412385   .0320619    -7.52   0.000    -.3043044   -.1781725
     _Istateicps_11 |  -.1555347   .1591425    -0.98   0.329    -.4685691    .1574998
     _Istateicps_12 |   .0379653   .0458935     0.83   0.409    -.0523075    .1282381
     _Istateicps_13 |  -.0781253   .0455537    -1.72   0.087    -.1677299    .0114792
     _Istateicps_14 |   -.188047   .0454983    -4.13   0.000    -.2775426   -.0985515
     _Istateicps_21 |  -.2730916   .0696245    -3.92   0.000    -.4100436   -.1361396
     _Istateicps_22 |  -.2465253   .0633732    -3.89   0.000    -.3711808   -.1218698
     _Istateicps_23 |  -.2396644   .0702493    -3.41   0.001    -.3778454   -.1014835
     _Istateicps_24 |  -.1728469   .0655935    -2.64   0.009    -.3018698    -.043824
     _Istateicps_25 |  -.2880244   .0711764    -4.05   0.000     -.428029   -.1480199
     _Istateicps_31 |  -.3568253   .0632484    -5.64   0.000    -.4812353   -.2324153
     _Istateicps_32 |  -.3588805    .075894    -4.73   0.000    -.5081646   -.2095965
     _Istateicps_33 |  -.3621286   .0673225    -5.38   0.000    -.4945524   -.2297049
     _Istateicps_34 |  -.5785624   .0622269    -9.30   0.000    -.7009632   -.4561615
     _Istateicps_35 |  -.5245119   .0796446    -6.59   0.000    -.6811735   -.3678504
     _Istateicps_36 |  -.5775827   .0650038    -8.89   0.000    -.7054456   -.4497199
     _Istateicps_37 |  -.5344655   .0668031    -8.00   0.000    -.6658676   -.4030633
     _Istateicps_40 |  -.5124587   .0321805   -15.92   0.000     -.575758   -.4491594
     _Istateicps_41 |  -.7774031   .0589728   -13.18   0.000    -.8934031   -.6614031
     _Istateicps_42 |  -.7803487   .0629823   -12.39   0.000    -.9042353    -.656462
     _Istateicps_43 |  -.5975369   .0551838   -10.83   0.000    -.7060838   -.4889901
     _Istateicps_44 |  -.8818548   .0572203   -15.41   0.000    -.9944076   -.7693021
     _Istateicps_45 |  -.5906383   .0391399   -15.09   0.000    -.6676267   -.5136498
     _Istateicps_46 |  -.7651222   .0368839   -20.74   0.000     -.837673   -.6925713
     _Istateicps_47 |  -.6178502    .053531   -11.54   0.000    -.7231461   -.5125543
     _Istateicps_48 |  -.7341298   .0660705   -11.11   0.000     -.864091   -.6041686
     _Istateicps_49 |  -.4968214   .0551456    -9.01   0.000    -.6052932   -.3883496
     _Istateicps_51 |  -.6711759   .0615069   -10.91   0.000    -.7921604   -.5501913
     _Istateicps_52 |  -.3369683   .1182531    -2.85   0.005     -.569573   -.1043637
     _Istateicps_53 |  -.5173782   .0817091    -6.33   0.000    -.6781005   -.3566558
     _Istateicps_54 |  -.7093719   .0913958    -7.76   0.000    -.8891481   -.5295956
     _Istateicps_56 |  -.3452177   .0510405    -6.76   0.000    -.4456147   -.2448207
     _Istateicps_61 |  -.0587661   .0508878    -1.15   0.249    -.1588627    .0413305
     _Istateicps_62 |  -.2956148   .0701337    -4.22   0.000    -.4335683   -.1576613
     _Istateicps_63 |   -.273275   .0606559    -4.51   0.000    -.3925856   -.1539644
     _Istateicps_64 |  -.2034389   .0667789    -3.05   0.002    -.3347935   -.0720843
     _Istateicps_65 |   .0802815   .0545711     1.47   0.142    -.0270603    .1876232
     _Istateicps_66 |  -.4249827   .0732495    -5.80   0.000     -.569065   -.2809003
     _Istateicps_67 |  -.3037045    .091377    -3.32   0.001    -.4834438   -.1239653
     _Istateicps_68 |  -.1330831   .0702021    -1.90   0.059    -.2711712    .0050051
     _Istateicps_71 |   .0022631   .0398634     0.06   0.955    -.0761484    .0806746
     _Istateicps_72 |  -.1356042   .0578311    -2.34   0.020    -.2493583     -.02185
     _Istateicps_73 |  -.1014453   .0496712    -2.04   0.042     -.199149   -.0037416
     _Istateicps_98 |          0  (omitted)
              _cons |   6.870918   .0222667   308.57   0.000     6.827119    6.914717
-------------------------------------------------------------------------------------
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(48, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1485
                                                Root MSE          =     .56182

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
      iwarconpro_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |  -.0143778   .0339929    -0.42   0.673    -.0812421    .0524864
          iAGRI_T73 |  -.0364356   .0245532    -1.48   0.139    -.0847319    .0118607
      _Istateicps_2 |  -.8547703   .2005663    -4.26   0.000    -1.249286   -.4602549
      _Istateicps_3 |  -.4895375   .1009016    -4.85   0.000    -.6880116   -.2910634
      _Istateicps_4 |  -1.047897   .1049745    -9.98   0.000    -1.254383   -.8414118
      _Istateicps_5 |  -.1160506   .0989392    -1.17   0.242    -.3106648    .0785636
      _Istateicps_6 |  -1.417443   .1651242    -8.58   0.000    -1.742243   -1.092642
     _Istateicps_11 |  -1.003942   .3633353    -2.76   0.006    -1.718625   -.2892585
     _Istateicps_12 |   -.484945   .1085479    -4.47   0.000    -.6984596   -.2714304
     _Istateicps_13 |  -.9267577   .1249749    -7.42   0.000    -1.172584   -.6809312
     _Istateicps_14 |  -.9505299   .1564768    -6.07   0.000    -1.258321   -.6427388
     _Istateicps_21 |  -1.323618   .1526977    -8.67   0.000    -1.623976   -1.023261
     _Istateicps_22 |   -1.14032   .1438438    -7.93   0.000    -1.423262   -.8573787
     _Istateicps_23 |  -1.135781    .203373    -5.58   0.000    -1.535818   -.7357452
     _Istateicps_24 |  -.9493099   .1595489    -5.95   0.000    -1.263144   -.6354761
     _Istateicps_25 |  -1.180777   .1827111    -6.46   0.000    -1.540171   -.8213833
     _Istateicps_31 |  -1.538003   .1442286   -10.66   0.000    -1.821701   -1.254304
     _Istateicps_32 |  -1.433907   .1563103    -9.17   0.000     -1.74137   -1.126443
     _Istateicps_33 |  -1.551568   .1465454   -10.59   0.000    -1.839824   -1.263312
     _Istateicps_34 |  -1.504979    .136048   -11.06   0.000    -1.772587   -1.237372
     _Istateicps_35 |  -1.485603   .1684431    -8.82   0.000    -1.816932   -1.154274
     _Istateicps_36 |  -1.675671   .1386387   -12.09   0.000    -1.948374   -1.402968
     _Istateicps_37 |  -1.616813   .1501128   -10.77   0.000    -1.912086    -1.32154
     _Istateicps_40 |  -1.430186     .10907   -13.11   0.000    -1.644728   -1.215645
     _Istateicps_41 |  -1.414941   .1424879    -9.93   0.000    -1.695216   -1.134667
     _Istateicps_42 |  -1.522361   .1367323   -11.13   0.000    -1.791314   -1.253407
     _Istateicps_43 |  -1.287321   .1202837   -10.70   0.000     -1.52392   -1.050722
     _Istateicps_44 |  -1.502083   .1047748   -14.34   0.000    -1.708176   -1.295991
     _Istateicps_45 |  -1.421347   .1179682   -12.05   0.000    -1.653391   -1.189303
     _Istateicps_46 |   -1.53576   .1160826   -13.23   0.000    -1.764095   -1.307424
     _Istateicps_47 |  -1.421169   .1205304   -11.79   0.000    -1.658253   -1.184085
     _Istateicps_48 |  -1.424651   .1158482   -12.30   0.000    -1.652525   -1.196776
     _Istateicps_49 |  -1.432101   .1404555   -10.20   0.000    -1.708378   -1.155824
     _Istateicps_51 |  -1.583273   .1236365   -12.81   0.000    -1.826466   -1.340079
     _Istateicps_52 |  -1.123732   .1946877    -5.77   0.000    -1.506684   -.7407798
     _Istateicps_53 |  -1.464064   .1433747   -10.21   0.000    -1.746083   -1.182045
     _Istateicps_54 |  -1.505742   .1077958   -13.97   0.000    -1.717777   -1.293706
     _Istateicps_56 |  -1.460606    .140871   -10.37   0.000      -1.7377   -1.183512
     _Istateicps_61 |  -1.131999   .1391639    -8.13   0.000    -1.405735   -.8582621
     _Istateicps_62 |  -1.499044   .1445163   -10.37   0.000    -1.783309    -1.21478
     _Istateicps_63 |  -1.599468   .1397542   -11.44   0.000    -1.874366   -1.324571
     _Istateicps_64 |  -1.602765   .1450103   -11.05   0.000    -1.888002   -1.317529
     _Istateicps_65 |  -1.184118   .3710378    -3.19   0.002    -1.913952   -.4542837
     _Istateicps_66 |  -1.508445    .135144   -11.16   0.000    -1.774274   -1.242616
     _Istateicps_67 |  -1.322427   .1910673    -6.92   0.000    -1.698258   -.9465967
     _Istateicps_68 |  -1.469031   .1666644    -8.81   0.000    -1.796861   -1.141201
     _Istateicps_71 |  -1.072796   .1922065    -5.58   0.000    -1.450867   -.6947241
     _Istateicps_72 |   -1.32186   .1364858    -9.68   0.000    -1.590329   -1.053392
     _Istateicps_73 |  -1.230221   .1476453    -8.33   0.000     -1.52064   -.9398015
     _Istateicps_98 |          0  (omitted)
              _cons |   1.722273   .0989392    17.41   0.000     1.527658    1.916887
-------------------------------------------------------------------------------------
(est1 stored)

. 
. 
. preserve

. 
. clear

. set obs 32
number of observations (_N) was 0, now 32

. gen vars = ""
(32 missing values generated)

. replace vars in 1 = "Democratic share 1896–1928"
variable vars was str1 now str28
(1 real change made)

. replace vars in 3 = "WWI volunteering rate"
(1 real change made)

. replace vars in 5 = "WWI awards per capita"
(1 real change made)

. replace vars in 7 = "log 1930 population"
(1 real change made)

. replace vars in 9 = "1930 unemployment rate"
(1 real change made)

. replace vars in 11 = "1930 urban status"
(1 real change made)

. replace vars in 13 = "1930 share of men"
(1 real change made)

. replace vars in 15 = "1930 share of blacks"
(1 real change made)

. replace vars in 17 = "1929 farm income (i.h.s.)"
(1 real change made)

. replace vars in 19 = "1930 farm share"
(1 real change made)

. replace vars in 21 = "1930 share of Japanese"
(1 real change made)

. replace vars in 23 = "1930 share of Germans"
(1 real change made)

. replace vars in 25 = "1930 share of Italians"
(1 real change made)

. replace vars in 27 = "1930 share of veterans"
(1 real change made)

. replace vars in 29 = "log 1939 average wage"
(1 real change made)

. replace vars in 31 = "War contracts per capita (i.h.s.)"
variable vars was str28 now str33
(1 real change made)

. 
. gen avg = ""
(32 missing values generated)

. lab var avg "Average"

. 
. gen drg = ""
(32 missing values generated)

. lab var drg "Droughts"  

. gen agc = ""
(32 missing values generated)

. lab var agc "Agri Committee"

. gen obs = ""
(32 missing values generated)

. lab var obs "Observation} \tabularnewline & {(1)} & {(2)} & {(3)} & {(4)"

. 
. local y = 0

. forvalues t=1/16{
  2.         local y = `y' + 1
  3.         
.         replace avg in `y' = "`e`y'1'"
  4.         replace drg in `y' = "`e`y'2'"
  5.         replace agc in `y' = "`e`y'3'"
  6.         replace obs in `y' = "`e`y'4'"
  7. 
.         local y = `y' + 1
  8.         
.         replace drg in `y' = "`e`y'2'"
  9.         replace agc in `y' = "`e`y'3'"  
 10. 
. }
variable avg was str1 now str6
(1 real change made)
variable drg was str1 now str12
(1 real change made)
variable agc was str1 now str5
(1 real change made)
variable obs was str1 now str4
(1 real change made)
(1 real change made)
variable agc was str5 now str7
(1 real change made)
(1 real change made)
variable drg was str12 now str14
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable agc was str7 now str14
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
. save "C:/X/tabbal", replace
file C:/X/tabbal.dta saved

. texsave using "results\tables\AppTab3_balance_table", replace varlab align(lcccc) frag nofix width(0.87\textwidth) headerlines("& \multicolumn
> {4}{c}{Coefficient of:}") title("Balance Table.} \medskip \label{tab:balance") footnote( "\footnotesize \noindent \textit{Notes: } Balance tab
> le for the two instruments. Col 1: average of the variable listed on the left. Cols 2--3: each row reports the coefficients of separate regres
> sions of the variable listed on the left on summer months of drought in 1933–40 and tenure in the Agricultural committee during the 73\textsup
> erscript{rd} Congress (both i.h.s.) and a full set of 48 state fixed effects. Standard errors clustered at climatic division level in brackets
> . *** p<0.01, ** p<0.05, * p<0.1.")

. restore

.         
. ***************************************************************************************************
. ****         Tab 4. Reduced forms                                                                                  ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg iwarbond_1944_PC   iSUM3MO_DROUGHT3340            $control if sample_ols == 1                      , cluster(CLIMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(63, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6471
                                                Root MSE          =     .40603

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .1240148   .0272845     4.55   0.000     .0703459    .1776836
         ww1_vol_sh |   .0022983   .0366824     0.06   0.950    -.0698563    .0744528
ww1_awards_pop10_is |   .2275858   .1020462     2.23   0.026     .0268601    .4283115
             lpop30 |  -.0477385   .0292226    -1.63   0.103    -.1052196    .0097426
           c30unemp |  -.6565652   .2833441    -2.32   0.021    -1.213905   -.0992254
          c30urban1 |    .057528   .0265349     2.17   0.031     .0053336    .1097224
            c30farm |  -.5105023   .1398749    -3.65   0.000    -.7856373   -.2353673
            iYf_T29 |   .1071994   .0302775     3.54   0.000     .0476434    .1667554
           MEAN9628 |   .0029109   .0011948     2.44   0.015     .0005607    .0052611
             c30men |  -1.345714   .8308092    -1.62   0.106    -2.979922    .2884936
           c30black |  -.3199738   .1135314    -2.82   0.005    -.5432909   -.0966566
             c30jap |   4.906127   2.237133     2.19   0.029     .5056696    9.306585
             c30deu |   .7525567   .2483429     3.03   0.003     .2640645    1.241049
             c30ita |  -.5786142   .6174173    -0.94   0.349    -1.793079    .6358502
             c30vet |    .150896   1.039448     0.15   0.885    -1.893706    2.195498
           lc40wage |   .4698139   .0592737     7.93   0.000     .3532221    .5864057
      iwarconpro_PC |   .2753454   .0235002    11.72   0.000     .2291202    .3215705
      _Istateicps_2 |  -.2445467   .0830487    -2.94   0.003    -.4079042   -.0811892
      _Istateicps_3 |  -.1850839   .0695626    -2.66   0.008    -.3219141   -.0482537
      _Istateicps_4 |   -.181745   .0724991    -2.51   0.013    -.3243512   -.0391388
      _Istateicps_5 |  -.3386179   .0460138    -7.36   0.000    -.4291273   -.2481084
      _Istateicps_6 |  -.1198541   .0932982    -1.28   0.200    -.3033724    .0636641
     _Istateicps_11 |   .2182054   .0689423     3.17   0.002     .0825954    .3538153
     _Istateicps_12 |  -.1226498   .0964429    -1.27   0.204    -.3123537    .0670541
     _Istateicps_13 |  -.2060851   .0782016    -2.64   0.009    -.3599082   -.0522621
     _Istateicps_14 |  -.1400061   .0620547    -2.26   0.025    -.2620683    -.017944
     _Istateicps_21 |  -.1285019   .1001632    -1.28   0.200    -.3255235    .0685198
     _Istateicps_22 |  -.2501462   .0988086    -2.53   0.012    -.4445034   -.0557891
     _Istateicps_23 |  -.3002261   .0929428    -3.23   0.001    -.4830452   -.1174069
     _Istateicps_24 |  -.3102766    .086518    -3.59   0.000     -.480458   -.1400951
     _Istateicps_25 |  -.2180444   .1077398    -2.02   0.044    -.4299694   -.0061194
     _Istateicps_31 |   .3413113   .1234427     2.76   0.006     .0984985    .5841241
     _Istateicps_32 |   .2120735   .1570326     1.35   0.178    -.0968107    .5209578
     _Istateicps_33 |   .1042483   .1399219     0.75   0.457     -.170979    .3794757
     _Istateicps_34 |  -.2743532   .1125606    -2.44   0.015    -.4957607   -.0529457
     _Istateicps_35 |   .2670315   .1419483     1.88   0.061    -.0121818    .5462448
     _Istateicps_36 |   .5579251   .1552471     3.59   0.000      .252553    .8632972
     _Istateicps_37 |    .202551   .1261713     1.61   0.109    -.0456288    .4507308
     _Istateicps_40 |  -.0794629    .085782    -0.93   0.355    -.2481967    .0892709
     _Istateicps_41 |  -.0577149   .0883297    -0.65   0.514    -.2314601    .1160303
     _Istateicps_42 |  -.6485086   .0962321    -6.74   0.000    -.8377978   -.4592194
     _Istateicps_43 |  -.1320328    .106834    -1.24   0.217     -.342176    .0781104
     _Istateicps_44 |   -.241312   .0840017    -2.87   0.004    -.4065439   -.0760801
     _Istateicps_45 |  -.3409032   .1084328    -3.14   0.002    -.5541913   -.1276151
     _Istateicps_46 |  -.2473166   .1098409    -2.25   0.025    -.4633745   -.0312587
     _Istateicps_47 |  -.1933241   .0810351    -2.39   0.018    -.3527206   -.0339275
     _Istateicps_48 |  -.5182186   .1043104    -4.97   0.000     -.723398   -.3130393
     _Istateicps_49 |   .0204668   .1171806     0.17   0.861    -.2100282    .2509618
     _Istateicps_51 |  -.5553614   .1813638    -3.06   0.002    -.9121053   -.1986176
     _Istateicps_52 |  -.1313911   .0918703    -1.43   0.154    -.3121006    .0493184
     _Istateicps_53 |  -.1647978   .1276341    -1.29   0.198    -.4158551    .0862595
     _Istateicps_54 |  -.3803786   .0813729    -4.67   0.000    -.5404398   -.2203175
     _Istateicps_56 |  -.3393649   .0822495    -4.13   0.000    -.5011503   -.1775796
     _Istateicps_61 |  -.1900672   .1471288    -1.29   0.197    -.4794707    .0993363
     _Istateicps_62 |  -.2377573   .1235796    -1.92   0.055    -.4808391    .0053246
     _Istateicps_63 |   -.106199   .1398723    -0.76   0.448    -.3813289    .1689309
     _Istateicps_64 |    .409302   .1738336     2.35   0.019       .06737     .751234
     _Istateicps_65 |  -.0999635   .1699063    -0.59   0.557    -.4341704    .2342435
     _Istateicps_66 |  -.3811347   .1724011    -2.21   0.028    -.7202489   -.0420204
     _Istateicps_67 |  -.3277256   .1143415    -2.87   0.004    -.5526362   -.1028151
     _Istateicps_68 |   .2209741   .1414191     1.56   0.119    -.0571984    .4991466
     _Istateicps_71 |   .0758547   .1108665     0.68   0.494    -.1422205      .29393
     _Istateicps_72 |   .3442445   .1260639     2.73   0.007     .0962759    .5922132
     _Istateicps_73 |   .2755706   .1558338     1.77   0.078    -.0309555    .5820968
     _Istateicps_98 |          0  (omitted)
              _cons |   2.384218   .5833249     4.09   0.000     1.236813    3.531622
-------------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum iwarbond_1944_PC      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  reg ww2_vol_pop40      iSUM3MO_DROUGHT3340            $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(54, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6229
                                                Root MSE          =      .2124

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0484143   .0246258     1.97   0.050    -.0000728    .0969015
         ww1_vol_sh |   .1154015   .0297306     3.88   0.000     .0568633    .1739397
ww1_awards_pop10_is |   .1219108    .101332     1.20   0.230    -.0776075     .321429
             lpop30 |  -.0185647   .0119013    -1.56   0.120    -.0419978    .0048685
           c30unemp |   .5553947    .201903     2.75   0.006     .1578567    .9529328
          c30urban1 |    .011078   .0123288     0.90   0.370     -.013197    .0353529
            c30farm |  -.1018969   .0579195    -1.76   0.080    -.2159379     .012144
            iYf_T29 |  -.0129026   .0189841    -0.68   0.497    -.0502815    .0244764
           MEAN9628 |  -.0002369   .0008549    -0.28   0.782    -.0019202    .0014464
             c30men |  -1.283036   .5603967    -2.29   0.023    -2.386432   -.1796391
           c30black |  -.4458338   .0698357    -6.38   0.000    -.5833372   -.3083305
             c30jap |   .3127816   1.775593     0.18   0.860    -3.183284    3.808847
             c30deu |  -.7116357    .249918    -2.85   0.005    -1.203713    -.219558
             c30ita |  -.3618546   .2709312    -1.34   0.183    -.8953062     .171597
             c30vet |    1.10492   .2924871     3.78   0.000     .5290262    1.680815
           lc40wage |   .2056105   .0376624     5.46   0.000     .1314548    .2797662
      iwarconpro_PC |    -.03423   .0075449    -4.54   0.000    -.0490856   -.0193743
      _Istateicps_2 |  -.0520431   .0707552    -0.74   0.463     -.191357    .0872709
      _Istateicps_3 |   .0247973    .062749     0.40   0.693    -.0987527    .1483473
      _Istateicps_4 |   .1865024   .0642665     2.90   0.004     .0599645    .3130404
      _Istateicps_5 |  -.0180654   .0552442    -0.33   0.744    -.1268387     .090708
      _Istateicps_6 |   .2617528   .0679254     3.85   0.000     .1280105     .395495
     _Istateicps_11 |  -.1857392   .0644775    -2.88   0.004    -.3126925   -.0587858
     _Istateicps_12 |  -.1059768   .0684401    -1.55   0.123    -.2407323    .0287787
     _Istateicps_13 |  -.0342672    .080105    -0.43   0.669    -.1919904     .123456
     _Istateicps_14 |  -.2646987   .0651101    -4.07   0.000    -.3928977   -.1364998
     _Istateicps_21 |  -.0779362   .0940923    -0.83   0.408    -.2631999    .1073274
     _Istateicps_22 |  -.1946054   .0956881    -2.03   0.043    -.3830111   -.0061998
     _Istateicps_23 |  -.1498146   .0986227    -1.52   0.130    -.3439984    .0443692
     _Istateicps_24 |  -.2037862   .0874618    -2.33   0.021    -.3759947   -.0315778
     _Istateicps_25 |   .0900185   .0981027     0.92   0.360    -.1031415    .2831785
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1782647   .0704343    -2.53   0.012    -.3169468   -.0395826
     _Istateicps_41 |   .0856909   .0792655     1.08   0.281    -.0703795    .2417612
     _Istateicps_42 |  -.3327482   .0891135    -3.73   0.000    -.5082088   -.1572876
     _Istateicps_43 |   .1849328   .0915206     2.02   0.044     .0047329    .3651328
     _Istateicps_44 |   .1575824   .0717467     2.20   0.029     .0163163    .2988484
     _Istateicps_45 |  -.2070147   .0750273    -2.76   0.006    -.3547401   -.0592892
     _Istateicps_46 |   .0844029   .0833143     1.01   0.312    -.0796393     .248445
     _Istateicps_47 |  -.0386201   .0713892    -0.54   0.589    -.1791823    .1019421
     _Istateicps_48 |   .0263177   .0910403     0.29   0.773    -.1529366     .205572
     _Istateicps_49 |   .4824444   .0872759     5.53   0.000      .310602    .6542869
     _Istateicps_51 |  -.0407235      .0886    -0.46   0.646     -.215173    .1337261
     _Istateicps_52 |  -.3045688   .0745977    -4.08   0.000    -.4514485   -.1576891
     _Istateicps_53 |   .0397614    .099894     0.40   0.691    -.1569255    .2364482
     _Istateicps_54 |  -.1007239    .101279    -0.99   0.321    -.3001377      .09869
     _Istateicps_56 |   .0370934   .0740766     0.50   0.617    -.1087601    .1829469
     _Istateicps_61 |  -.5785596    .095649    -6.05   0.000    -.7668883   -.3902309
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1743673   .1146798    -1.52   0.130    -.4001668    .0514322
     _Istateicps_64 |   .0806378    .116896     0.69   0.491    -.1495254    .3108009
     _Istateicps_65 |   -.259672    .132405    -1.96   0.051    -.5203717    .0010277
     _Istateicps_66 |   .0142647   .0942756     0.15   0.880    -.1713598    .1998892
     _Istateicps_67 |  -.3091131   .0972296    -3.18   0.002    -.5005539   -.1176724
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0287624    .095577    -0.30   0.764    -.2169494    .1594246
     _Istateicps_72 |  -.2453484   .1032675    -2.38   0.018    -.4486775   -.0420193
     _Istateicps_73 |  -.0120282   .0921058    -0.13   0.896    -.1933806    .1693241
     _Istateicps_98 |          0  (omitted)
              _cons |   .0909281   .4404453     0.21   0.837    -.7762894    .9581456
-------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is iSUM3MO_DROUGHT3340           $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(54, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1859
                                                Root MSE          =     .11655

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |    .015677   .0044138     3.55   0.000     .0069865    .0243675
         ww1_vol_sh |    .058215   .0202127     2.88   0.004      .018417     .098013
ww1_awards_pop10_is |   .0338455   .0378166     0.89   0.372    -.0406138    .1083048
             lpop30 |  -.0195825   .0135476    -1.45   0.150    -.0462571     .007092
           c30unemp |   .1341061   .1543331     0.87   0.386    -.1697691    .4379813
          c30urban1 |    .007272   .0063032     1.15   0.250    -.0051387    .0196827
            c30farm |   .0233922   .0251996     0.93   0.354    -.0262248    .0730091
            iYf_T29 |   .0183276   .0100938     1.82   0.071    -.0015466    .0382017
           MEAN9628 |  -7.56e-06   .0003667    -0.02   0.984    -.0007295    .0007144
             c30men |  -.5520326   .2262398    -2.44   0.015    -.9974888   -.1065763
           c30black |  -.0544381   .0223789    -2.43   0.016    -.0985011    -.010375
             c30jap |   .7464954   1.288978     0.58   0.563    -1.791446    3.284437
             c30deu |   .0565669   .1368415     0.41   0.680     -.212868    .3260017
             c30ita |   -.052393    .189714    -0.28   0.783    -.4259315    .3211456
             c30vet |   .2683163   .1124914     2.39   0.018     .0468257    .4898069
           lc40wage |   .0552715    .019769     2.80   0.006     .0163473    .0941958
      iwarconpro_PC |   .0047723   .0044791     1.07   0.288    -.0040469    .0135916
      _Istateicps_2 |  -.0448462   .0319666    -1.40   0.162    -.1077871    .0180948
      _Istateicps_3 |  -.0055113    .015845    -0.35   0.728    -.0367094    .0256869
      _Istateicps_4 |  -.0442911   .0267783    -1.65   0.099    -.0970165    .0084342
      _Istateicps_5 |    .053775   .0138923     3.87   0.000     .0264217    .0811283
      _Istateicps_6 |  -.0386807   .0326327    -1.19   0.237    -.1029332    .0255717
     _Istateicps_11 |  -.0507592   .0240138    -2.11   0.035    -.0980414   -.0034771
     _Istateicps_12 |  -.0420897   .0139391    -3.02   0.003    -.0695352   -.0146442
     _Istateicps_13 |  -.0324507   .0199688    -1.63   0.105    -.0717684     .006867
     _Istateicps_14 |  -.0542699   .0193729    -2.80   0.005    -.0924143   -.0161254
     _Istateicps_21 |  -.0750928   .0317766    -2.36   0.019    -.1376595   -.0125261
     _Istateicps_22 |  -.1035541   .0304651    -3.40   0.001    -.1635386   -.0435696
     _Istateicps_23 |  -.0759934   .0355451    -2.14   0.033    -.1459802   -.0060066
     _Istateicps_24 |  -.0596535   .0284116    -2.10   0.037    -.1155946   -.0037123
     _Istateicps_25 |  -.1082908   .0465153    -2.33   0.021    -.1998774   -.0167043
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   -.034053   .0218363    -1.56   0.120    -.0770478    .0089418
     _Istateicps_41 |  -.0319381   .0203033    -1.57   0.117    -.0719145    .0080382
     _Istateicps_42 |  -.0756148   .0217591    -3.48   0.001    -.1184575   -.0327721
     _Istateicps_43 |  -.0026835   .0308919    -0.09   0.931    -.0635083    .0581413
     _Istateicps_44 |  -.0434132   .0223463    -1.94   0.053    -.0874121    .0005858
     _Istateicps_45 |  -.0399222   .0197809    -2.02   0.045    -.0788699   -.0009746
     _Istateicps_46 |  -.0208341   .0214719    -0.97   0.333    -.0631112    .0214431
     _Istateicps_47 |  -.0487863   .0193908    -2.52   0.012    -.0869659   -.0106067
     _Istateicps_48 |   -.038748   .0228914    -1.69   0.092    -.0838202    .0063243
     _Istateicps_49 |  -.0112487   .0224095    -0.50   0.616     -.055372    .0328746
     _Istateicps_51 |  -.0609566   .0217006    -2.81   0.005    -.1036841    -.018229
     _Istateicps_52 |   -.032698   .0301229    -1.09   0.279    -.0920087    .0266126
     _Istateicps_53 |  -.0478144   .0236409    -2.02   0.044    -.0943623   -.0012665
     _Istateicps_54 |  -.0551803   .0190935    -2.89   0.004    -.0927745   -.0175861
     _Istateicps_56 |  -.0395877   .0194417    -2.04   0.043    -.0778675   -.0013078
     _Istateicps_61 |  -.0004964    .046693    -0.01   0.992    -.0924328      .09144
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.029865   .0442377    -0.68   0.500    -.1169671    .0572371
     _Istateicps_64 |   .0897076   .0666363     1.35   0.179    -.0414964    .2209116
     _Istateicps_65 |  -.0221856   .0601952    -0.37   0.713    -.1407072    .0963361
     _Istateicps_66 |   -.029853   .0362526    -0.82   0.411    -.1012327    .0415267
     _Istateicps_67 |   -.022108    .039761    -0.56   0.579    -.1003956    .0561797
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0558606   .0538427     1.04   0.300    -.0501533    .1618746
     _Istateicps_72 |  -.0429843   .0412819    -1.04   0.299    -.1242665    .0382978
     _Istateicps_73 |   .0061225   .0341223     0.18   0.858    -.0610628    .0733078
     _Istateicps_98 |          0  (omitted)
              _cons |   .1548961   .1715838     0.90   0.367    -.1829448     .492737
-------------------------------------------------------------------------------------
(est3 stored)

.                 qui: sum ww2_awards_pop40_is    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                 iSUM3MO_DROUGHT3340           $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(54, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6467
                                                Root MSE          =     .75609

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2562275   .0695056     3.69   0.000      .119374    .3930809
         ww1_vol_sh |   .4804147   .1156286     4.15   0.000     .2527469    .7080824
ww1_awards_pop10_is |   .5564655   .2877531     1.93   0.054    -.0101078    1.123039
             lpop30 |  -.1887124   .0684575    -2.76   0.006    -.3235022   -.0539225
           c30unemp |   1.285963   .8765156     1.47   0.144     -.439858    3.011784
          c30urban1 |   .1454193    .047482     3.06   0.002     .0519294    .2389093
            c30farm |  -.5032463   .1994699    -2.52   0.012    -.8959939   -.1104987
            iYf_T29 |   .1556167   .0748557     2.08   0.039     .0082291    .3030044
           MEAN9628 |   .0035012   .0023052     1.52   0.130    -.0010375      .00804
             c30men |   -6.56279   1.538693    -4.27   0.000     -9.59241   -3.533171
           c30black |  -1.251802   .2151376    -5.82   0.000    -1.675399   -.8282058
             c30jap |   8.823134   6.812249     1.30   0.196    -4.589887    22.23615
             c30deu |  -.0336942   .9405711    -0.04   0.971    -1.885638    1.818249
             c30ita |  -1.214208   1.218259    -1.00   0.320    -3.612907    1.184492
             c30vet |   3.875626   .8531693     4.54   0.000     2.195772    5.555479
           lc40wage |   1.023308   .1186101     8.63   0.000     .7897696    1.256846
      iwarconpro_PC |   .2315615   .0332992     6.95   0.000     .1659969    .2971262
      _Istateicps_2 |    -.46264   .1991326    -2.32   0.021    -.8547233   -.0705567
      _Istateicps_3 |  -.1240888   .1624285    -0.76   0.446    -.4439034    .1957257
      _Istateicps_4 |  -.0141629   .1754841    -0.08   0.936    -.3596835    .3313577
      _Istateicps_5 |  -.1444973   .1275223    -1.13   0.258    -.3955831    .1065885
      _Istateicps_6 |   .2336574   .2304392     1.01   0.312    -.2200672     .687382
     _Istateicps_11 |  -.2727033   .1469432    -1.86   0.065    -.5620281    .0166215
     _Istateicps_12 |  -.4584481   .1315379    -3.49   0.001    -.7174406   -.1994556
     _Istateicps_13 |  -.3439797   .2032905    -1.69   0.092    -.7442498    .0562903
     _Istateicps_14 |  -.7519472   .1681486    -4.47   0.000    -1.083024   -.4208699
     _Istateicps_21 |   -.531229   .2588145    -2.05   0.041    -1.040823   -.0216346
     _Istateicps_22 |  -.9644244   .2667203    -3.62   0.000    -1.489585   -.4392639
     _Istateicps_23 |  -.7903565   .2831369    -2.79   0.006    -1.347841   -.2328722
     _Istateicps_24 |  -.8441948   .2408316    -3.51   0.001    -1.318382   -.3700078
     _Istateicps_25 |  -.4803141   .3222538    -1.49   0.137    -1.114818    .1541895
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.4656444   .1719288    -2.71   0.007    -.8041646   -.1271241
     _Istateicps_41 |   .0082027   .1873983     0.04   0.965    -.3607764    .3771819
     _Istateicps_42 |   -1.41286   .2176904    -6.49   0.000    -1.841483   -.9842375
     _Istateicps_43 |   .1831672   .2579534     0.71   0.478    -.3247318    .6910663
     _Istateicps_44 |  -.0939369   .1901496    -0.49   0.622    -.4683331    .2804593
     _Istateicps_45 |  -.8065144   .1767952    -4.56   0.000    -1.154616   -.4584124
     _Istateicps_46 |  -.1500968   .2039596    -0.74   0.462    -.5516844    .2514908
     _Istateicps_47 |  -.3941064   .1876287    -2.10   0.037    -.7635392   -.0246737
     _Istateicps_48 |   -.582986   .2141406    -2.72   0.007     -1.00462   -.1613524
     _Istateicps_49 |   .8017969     .24396     3.29   0.001     .3214503    1.282144
     _Istateicps_51 |  -.7401485    .216256    -3.42   0.001    -1.165947   -.3143498
     _Istateicps_52 |  -.7273425   .2443579    -2.98   0.003    -1.208473   -.2462125
     _Istateicps_53 |  -.2314161   .2541074    -0.91   0.363    -.7317425    .2689103
     _Istateicps_54 |  -.6676212   .2085297    -3.20   0.002    -1.078207   -.2570355
     _Istateicps_56 |  -.3517886    .188304    -1.87   0.063     -.722551    .0189738
     _Istateicps_61 |  -1.115496   .3581392    -3.11   0.002    -1.820656   -.4103354
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4941141   .3527332    -1.40   0.162     -1.18863    .2004022
     _Istateicps_64 |   .9134552   .4064347     2.25   0.025     .1132031    1.713707
     _Istateicps_65 |  -.6118902   .4541918    -1.35   0.179    -1.506174    .2823935
     _Istateicps_66 |  -.3976185   .3075262    -1.29   0.197    -1.003124    .2078872
     _Istateicps_67 |   -.880451     .31122    -2.83   0.005     -1.49323   -.2676725
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .273681   .3107883     0.88   0.379    -.3382475    .8856096
     _Istateicps_72 |   -.287296      .3058    -0.94   0.348    -.8894027    .3148108
     _Istateicps_73 |   .2779379   .2956515     0.94   0.348    -.3041871    .8600628
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.481019   1.180737    -2.10   0.037    -4.805839   -.1561984
-------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum pc1                    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. eststo: xi:  reg iwarbond_1944_PC                       iAGRI_T73  $control if sample_ols == 1                      , cluster(DISTRICT_ID73)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(53, 309)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6456
                                                Root MSE          =     .40688

                               (Std. Err. adjusted for 310 clusters in DISTRICT_ID73)
-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .1354591    .027948     4.85   0.000     .0804666    .1904516
         ww1_vol_sh |   -.006022   .0366157    -0.16   0.869    -.0780696    .0660256
ww1_awards_pop10_is |   .2368544   .0925809     2.56   0.011     .0546856    .4190232
             lpop30 |   -.043289   .0334376    -1.29   0.196    -.1090833    .0225052
           c30unemp |  -.6297036    .319857    -1.97   0.050    -1.259077   -.0003304
          c30urban1 |   .0576938   .0294361     1.96   0.051    -.0002267    .1156143
            c30farm |  -.4831731   .1319278    -3.66   0.000    -.7427636   -.2235827
            iYf_T29 |   .0956888    .035845     2.67   0.008     .0251577    .1662199
           MEAN9628 |   .0033933   .0016431     2.07   0.040     .0001602    .0066264
             c30men |  -1.515122   .9638368    -1.57   0.117    -3.411635    .3813918
           c30black |  -.2927125   .1066057    -2.75   0.006    -.5024774   -.0829476
             c30jap |   5.049549   2.197456     2.30   0.022     .7256785     9.37342
             c30deu |   .7755248   .2432521     3.19   0.002     .2968848    1.254165
             c30ita |   -.348076   .5924849    -0.59   0.557    -1.513891    .8177393
             c30vet |   .2246793   1.060725     0.21   0.832    -1.862478    2.311836
           lc40wage |   .4708363   .0658899     7.15   0.000     .3411868    .6004859
      iwarconpro_PC |   .2763465   .0235307    11.74   0.000     .2300458    .3226472
      _Istateicps_2 |  -.2582406   .1363521    -1.89   0.059    -.5265367    .0100554
      _Istateicps_3 |  -.1686992   .0976982    -1.73   0.085    -.3609371    .0235387
      _Istateicps_4 |  -.2242973   .2015621    -1.11   0.267    -.6209053    .1723106
      _Istateicps_5 |  -.3336994   .1092198    -3.06   0.002     -.548608   -.1187907
      _Istateicps_6 |  -.0908601   .0570413    -1.59   0.112    -.2030987    .0213785
     _Istateicps_11 |   .2330077   .0687212     3.39   0.001     .0977869    .3682285
     _Istateicps_12 |  -.1089362   .0928594    -1.17   0.242     -.291653    .0737806
     _Istateicps_13 |  -.0831983   .0454102    -1.83   0.068    -.1725506    .0061539
     _Istateicps_14 |  -.0477787   .0593457    -0.81   0.421    -.1645515    .0689941
     _Istateicps_21 |   .1884979   .0577953     3.26   0.001     .0747757    .3022201
     _Istateicps_22 |   .0755276   .0685408     1.10   0.271    -.0593382    .2103934
     _Istateicps_23 |  -.0000495   .0647815    -0.00   0.999    -.1275183    .1274192
     _Istateicps_24 |  -.0367739   .0597467    -0.62   0.539    -.1543357     .080788
     _Istateicps_25 |   .0699173   .0971911     0.72   0.472    -.1213228    .2611574
     _Istateicps_31 |   .6613974   .0818487     8.08   0.000     .5003462    .8224487
     _Istateicps_32 |   .5510456   .1175422     4.69   0.000     .3197614    .7823299
     _Istateicps_33 |   .4676735   .0737305     6.34   0.000     .3225962    .6127508
     _Istateicps_34 |   .0321047   .0624336     0.51   0.607    -.0907441    .1549534
     _Istateicps_35 |   .7132235   .0910035     7.84   0.000     .5341585    .8922885
     _Istateicps_36 |   .9268664    .088343    10.49   0.000     .7530364    1.100696
     _Istateicps_37 |   .6072255   .1207654     5.03   0.000      .369599    .8448519
     _Istateicps_40 |  -.0814699   .0711378    -1.15   0.253    -.2214457    .0585059
     _Istateicps_41 |  -.0710913   .0878296    -0.81   0.419    -.2439111    .1017285
     _Istateicps_42 |  -.4425212    .093643    -4.73   0.000    -.6267798   -.2582627
     _Istateicps_43 |  -.1183143   .1121012    -1.06   0.292    -.3388925    .1022639
     _Istateicps_44 |  -.2314712   .0850053    -2.72   0.007    -.3987336   -.0642088
     _Istateicps_45 |  -.3068513   .1139585    -2.69   0.007    -.5310842   -.0826185
     _Istateicps_46 |  -.1922145    .116674    -1.65   0.100    -.4217906    .0373616
     _Istateicps_47 |   -.165756   .0803196    -2.06   0.040    -.3237985   -.0077135
     _Istateicps_48 |  -.4845034   .1120264    -4.32   0.000    -.7049345   -.2640724
     _Istateicps_49 |   .1378114   .0850981     1.62   0.106    -.0296338    .3052565
     _Istateicps_51 |  -.3440616   .0659792    -5.21   0.000    -.4738869   -.2142364
     _Istateicps_52 |  -.1163578   .1137362    -1.02   0.307    -.3401532    .1074375
     _Istateicps_53 |   .1632705     .11283     1.45   0.149    -.0587417    .3852828
     _Istateicps_54 |  -.2766261   .0830851    -3.33   0.001    -.4401102    -.113142
     _Istateicps_56 |  -.2777701   .0690922    -4.02   0.000    -.4137208   -.1418193
     _Istateicps_61 |   .0421117   .0724785     0.58   0.562    -.1005022    .1847256
     _Istateicps_62 |   .1036766    .081419     1.27   0.204    -.0565292    .2638824
     _Istateicps_63 |   .2692619   .1007905     2.67   0.008     .0709395    .4675844
     _Istateicps_64 |   .7846992   .2072739     3.79   0.000     .3768524    1.192546
     _Istateicps_65 |   .2072996   .0893258     2.32   0.021     .0315358    .3830634
     _Istateicps_66 |  -.1374163   .0897983    -1.53   0.127    -.3141099    .0392772
     _Istateicps_67 |  -.0260638   .0639364    -0.41   0.684    -.1518697    .0997421
     _Istateicps_68 |   .5753961   .1182472     4.87   0.000     .3427245    .8080677
     _Istateicps_71 |   .2573662   .1053136     2.44   0.015     .0501437    .4645888
     _Istateicps_72 |   .5845317   .1339037     4.37   0.000     .3210533    .8480101
     _Istateicps_73 |   .4819022   .2090622     2.31   0.022     .0705365    .8932678
     _Istateicps_98 |          0  (omitted)
              _cons |    2.39849   .6878014     3.49   0.001     1.045124    3.751857
-------------------------------------------------------------------------------------
(est5 stored)

.                 qui: sum iwarbond_1944_PC      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  reg ww2_vol_pop40                          iAGRI_T73  $control if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID73)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(48, 278)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6300
                                                Root MSE          =     .21038

                               (Std. Err. adjusted for 279 clusters in DISTRICT_ID73)
-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .0966483   .0355227     2.72   0.007     .0267207    .1665758
         ww1_vol_sh |   .1100083   .0274172     4.01   0.000     .0560366      .16398
ww1_awards_pop10_is |   .1114153    .100071     1.11   0.267    -.0855779    .3084084
             lpop30 |  -.0154646   .0129258    -1.20   0.233    -.0409095    .0099804
           c30unemp |   .5321803   .2235728     2.38   0.018     .0920696    .9722909
          c30urban1 |    .011812   .0118618     1.00   0.320    -.0115384    .0351625
            c30farm |  -.1103872   .0666679    -1.66   0.099    -.2416252    .0208509
            iYf_T29 |   -.019155   .0146783    -1.30   0.193    -.0480497    .0097397
           MEAN9628 |  -.0002831     .00084    -0.34   0.736    -.0019367    .0013705
             c30men |  -1.373549   .5656704    -2.43   0.016     -2.48709   -.2600072
           c30black |  -.4232907   .0493919    -8.57   0.000    -.5205203   -.3260611
             c30jap |   .2098724   1.170766     0.18   0.858    -2.094821    2.514566
             c30deu |  -.6812811   .2045213    -3.33   0.001    -1.083888    -.278674
             c30ita |  -.2606896    .280716    -0.93   0.354    -.8132886    .2919094
             c30vet |   1.117362   .3913282     2.86   0.005     .3470193    1.887705
           lc40wage |   .1948782   .0336401     5.79   0.000     .1286565    .2610999
      iwarconpro_PC |  -.0343754   .0076608    -4.49   0.000    -.0494559   -.0192949
      _Istateicps_2 |  -.0672886   .0592261    -1.14   0.257    -.1838772    .0492999
      _Istateicps_3 |   .0314357   .0450005     0.70   0.485    -.0571494    .1200208
      _Istateicps_4 |   .1498609   .0747238     2.01   0.046     .0027647    .2969572
      _Istateicps_5 |  -.0149368   .0471817    -0.32   0.752    -.1078155     .077942
      _Istateicps_6 |   .2749744   .0490357     5.61   0.000     .1784459    .3715029
     _Istateicps_11 |  -.1781619   .0432368    -4.12   0.000     -.263275   -.0930488
     _Istateicps_12 |  -.0997546   .0447874    -2.23   0.027      -.18792   -.0115891
     _Istateicps_13 |   .0074076   .0457315     0.16   0.871    -.0826164    .0974317
     _Istateicps_14 |  -.2298433   .0443723    -5.18   0.000    -.3171916    -.142495
     _Istateicps_21 |   .0482476   .0492837     0.98   0.328    -.0487691    .1452644
     _Istateicps_22 |  -.0621263   .0504102    -1.23   0.219    -.1613605     .037108
     _Istateicps_23 |  -.0331454   .0604596    -0.55   0.584    -.1521623    .0858714
     _Istateicps_24 |  -.0983292   .0461181    -2.13   0.034    -.1891142   -.0075441
     _Istateicps_25 |   .1940874   .0647201     3.00   0.003     .0666837    .3214911
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1730127   .0483884    -3.58   0.000    -.2682669   -.0777584
     _Istateicps_41 |   .0846164   .0586369     1.44   0.150    -.0308123    .2000451
     _Istateicps_42 |   -.259779   .0584081    -4.45   0.000    -.3747574   -.1448007
     _Istateicps_43 |   .1926057     .06705     2.87   0.004     .0606155    .3245959
     _Istateicps_44 |   .1646824   .0529645     3.11   0.002       .06042    .2689449
     _Istateicps_45 |  -.1863524   .0557629    -3.34   0.001    -.2961235   -.0765812
     _Istateicps_46 |    .105036   .0674656     1.56   0.121    -.0277724    .2378444
     _Istateicps_47 |    -.02321   .0563064    -0.41   0.681     -.134051     .087631
     _Istateicps_48 |   .0272693   .0720962     0.38   0.706    -.1146545    .1691931
     _Istateicps_49 |   .5149847   .0671995     7.66   0.000     .3827001    .6472692
     _Istateicps_51 |   .0466064   .0472431     0.99   0.325    -.0463932    .1396061
     _Istateicps_52 |  -.2961656   .0482093    -6.14   0.000    -.3910673   -.2012639
     _Istateicps_53 |    .172653   .0568509     3.04   0.003       .06074    .2845659
     _Istateicps_54 |  -.0668437   .0752105    -0.89   0.375     -.214898    .0812107
     _Istateicps_56 |    .065108   .0600274     1.08   0.279     -.053058     .183274
     _Istateicps_61 |   -.480769   .0563151    -8.54   0.000    -.5916272   -.3699109
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0180832   .0629887    -0.29   0.774    -.1420785    .1059121
     _Istateicps_64 |   .2355767   .0739448     3.19   0.002     .0900139    .3811396
     _Istateicps_65 |  -.1277367   .0663345    -1.93   0.055    -.2583184    .0028451
     _Istateicps_66 |    .112122   .0513699     2.18   0.030     .0109986    .2132455
     _Istateicps_67 |  -.1844977   .0508066    -3.63   0.000    -.2845122   -.0844833
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0469145   .0657897     0.71   0.476    -.0825947    .1764237
     _Istateicps_72 |  -.1635719   .0685518    -2.39   0.018    -.2985184   -.0286253
     _Istateicps_73 |   .0744757   .0869495     0.86   0.392    -.0966873    .2456387
     _Istateicps_98 |          0  (omitted)
              _cons |   .1919632   .4265783     0.45   0.653    -.6477707    1.031697
-------------------------------------------------------------------------------------
(est6 stored)

.                 qui: sum ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is                    iAGRI_T73  $control if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID73)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(48, 278)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1850
                                                Root MSE          =     .11661

                               (Std. Err. adjusted for 279 clusters in DISTRICT_ID73)
-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .0187917   .0071116     2.64   0.009     .0047922    .0327912
         ww1_vol_sh |   .0566041   .0225957     2.51   0.013     .0121236    .1010845
ww1_awards_pop10_is |   .0331854    .028524     1.16   0.246    -.0229651    .0893358
             lpop30 |  -.0192704   .0133041    -1.45   0.149    -.0454599    .0069191
           c30unemp |   .1324145   .1595746     0.83   0.407    -.1817136    .4465426
          c30urban1 |   .0077708   .0054178     1.43   0.153    -.0028944    .0184359
            c30farm |   .0254521   .0271529     0.94   0.349    -.0279992    .0789035
            iYf_T29 |   .0166582    .010381     1.60   0.110    -.0037771    .0370935
           MEAN9628 |   .0000319   .0003219     0.10   0.921    -.0006017    .0006655
             c30men |  -.5672034   .2592066    -2.19   0.029     -1.07746   -.0569465
           c30black |  -.0499977   .0201561    -2.48   0.014    -.0896757   -.0103197
             c30jap |   .7774525   .7528384     1.03   0.303    -.7045355     2.25944
             c30deu |   .0667586   .1245258     0.54   0.592    -.1783746    .3118919
             c30ita |  -.0214368   .1725437    -0.12   0.901     -.361095    .3182213
             c30vet |   .2776961   .1039069     2.67   0.008     .0731519    .4822403
           lc40wage |   .0547999   .0172359     3.18   0.002     .0208704    .0887294
      iwarconpro_PC |   .0048252   .0049532     0.97   0.331    -.0049254    .0145759
      _Istateicps_2 |  -.0467685   .0368958    -1.27   0.206    -.1193991     .025862
      _Istateicps_3 |  -.0028659   .0285254    -0.10   0.920    -.0590191    .0532874
      _Istateicps_4 |  -.0503641   .0353931    -1.42   0.156    -.1200366    .0193084
      _Istateicps_5 |   .0545835   .0441759     1.24   0.218    -.0323782    .1415452
      _Istateicps_6 |  -.0351478   .0382628    -0.92   0.359    -.1104694    .0401738
     _Istateicps_11 |  -.0488412   .0295431    -1.65   0.099    -.1069978    .0093155
     _Istateicps_12 |  -.0404164   .0298345    -1.35   0.177    -.0991467    .0183139
     _Istateicps_13 |  -.0174116   .0297084    -0.59   0.558    -.0758937    .0410704
     _Istateicps_14 |  -.0427322   .0303963    -1.41   0.161    -.1025684    .0171041
     _Istateicps_21 |  -.0355523   .0360898    -0.99   0.325    -.1065963    .0354918
     _Istateicps_22 |   -.062531   .0360094    -1.74   0.084    -.1334167    .0083546
     _Istateicps_23 |  -.0387976   .0384851    -1.01   0.314    -.1145569    .0369617
     _Istateicps_24 |  -.0253686   .0346833    -0.73   0.465    -.0936439    .0429067
     _Istateicps_25 |  -.0734812   .0479641    -1.53   0.127    -.1679001    .0209377
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0341026   .0310393    -1.10   0.273    -.0952045    .0269993
     _Istateicps_41 |  -.0332684   .0322775    -1.03   0.304    -.0968078    .0302709
     _Istateicps_42 |  -.0498914   .0319474    -1.56   0.120     -.112781    .0129982
     _Istateicps_43 |   -.001188   .0389956    -0.03   0.976    -.0779522    .0755761
     _Istateicps_44 |  -.0421153   .0327455    -1.29   0.199    -.1065759    .0223453
     _Istateicps_45 |  -.0352659   .0301165    -1.17   0.243    -.0945513    .0240195
     _Istateicps_46 |  -.0136025   .0320231    -0.42   0.671    -.0766411    .0494362
     _Istateicps_47 |  -.0450172   .0309561    -1.45   0.147    -.1059553    .0159209
     _Istateicps_48 |  -.0345381   .0322032    -1.07   0.284    -.0979312     .028855
     _Istateicps_49 |   .0027296   .0307718     0.09   0.929    -.0578458     .063305
     _Istateicps_51 |  -.0341954    .031135    -1.10   0.273    -.0954857     .027095
     _Istateicps_52 |    -.03092   .0346154    -0.89   0.372    -.0990615    .0372216
     _Istateicps_53 |  -.0064505   .0310925    -0.21   0.836    -.0676572    .0547562
     _Istateicps_54 |  -.0423383   .0310233    -1.36   0.173    -.1034087     .018732
     _Istateicps_56 |  -.0318161   .0304444    -1.05   0.297     -.091747    .0281148
     _Istateicps_61 |   .0285927   .0302236     0.95   0.345    -.0309035    .0880888
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0171932   .0401355     0.43   0.669    -.0618149    .0962014
     _Istateicps_64 |    .136386   .0346858     3.93   0.000     .0681057    .2046662
     _Istateicps_65 |   .0155043   .0370855     0.42   0.676    -.0574998    .0885084
     _Istateicps_66 |   .0004406   .0315184     0.01   0.989    -.0616044    .0624857
     _Istateicps_67 |   .0156327   .0380265     0.41   0.681    -.0592236    .0904891
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .077843   .0378081     2.06   0.040     .0034164    .1522696
     _Istateicps_72 |  -.0139003   .0421524    -0.33   0.742    -.0968788    .0690783
     _Istateicps_73 |   .0314579   .0456979     0.69   0.492       -.0585    .1214158
     _Istateicps_98 |          0  (omitted)
              _cons |   .1623683   .1836338     0.88   0.377     -.199121    .5238575
-------------------------------------------------------------------------------------
(est7 stored)

.                 qui: sum ww2_awards_pop40_is    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                                    iAGRI_T73  $control if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID73)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(48, 278)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6451
                                                Root MSE          =      .7578

                               (Std. Err. adjusted for 279 clusters in DISTRICT_ID73)
-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .3194574   .0949872     3.36   0.001     .1324719    .5064429
         ww1_vol_sh |   .4539521   .1276098     3.56   0.000      .202748    .7051563
ww1_awards_pop10_is |   .5429769   .2495575     2.18   0.030     .0517144    1.034239
             lpop30 |  -.1829284   .0678139    -2.70   0.007    -.3164223   -.0494346
           c30unemp |   1.252575   .9750026     1.28   0.200    -.6667512      3.1719
          c30urban1 |   .1533139   .0424619     3.61   0.000     .0697261    .2369017
            c30farm |  -.4743172    .212261    -2.23   0.026    -.8921601   -.0564743
            iYf_T29 |   .1279815   .0692877     1.85   0.066    -.0084137    .2643767
           MEAN9628 |   .0040932   .0023598     1.73   0.084    -.0005523    .0087386
             c30men |  -6.824679   1.714934    -3.98   0.000    -10.20059   -3.448772
           c30black |   -1.17641   .1735069    -6.78   0.000    -1.517964   -.8348556
             c30jap |   9.265753   3.574654     2.59   0.010     2.228925    16.30258
             c30deu |   .1325248   .7910061     0.17   0.867    -1.424598    1.689647
             c30ita |  -.7064792   1.160781    -0.61   0.543    -2.991516    1.578558
             c30vet |   4.023656   .8851623     4.55   0.000     2.281184    5.766128
           lc40wage |    1.01264   .1133667     8.93   0.000     .7894736    1.235806
      iwarconpro_PC |   .2323276   .0370434     6.27   0.000     .1594065    .3052487
      _Istateicps_2 |  -.4970304   .1628006    -3.05   0.002    -.8175088    -.176552
      _Istateicps_3 |  -.0813407   .1543156    -0.53   0.599    -.3851163    .2224349
      _Istateicps_4 |  -.1191285   .2785621    -0.43   0.669    -.6674875    .4292304
      _Istateicps_5 |  -.1310815   .1929325    -0.68   0.497    -.5108756    .2487127
      _Istateicps_6 |   .2921372   .1777254     1.64   0.101    -.0577214    .6419957
     _Istateicps_11 |   -.240826   .1255121    -1.92   0.056    -.4879009    .0062488
     _Istateicps_12 |  -.4307619   .1388232    -3.10   0.002    -.7040401   -.1574838
     _Istateicps_13 |  -.0997006   .1272595    -0.78   0.434    -.3502151     .150814
     _Istateicps_14 |  -.5636207   .1313608    -4.29   0.000    -.8222088   -.3050325
     _Istateicps_21 |   .1163286   .1657012     0.70   0.483    -.2098599     .442517
     _Istateicps_22 |  -.2920885   .1719656    -1.70   0.091    -.6306087    .0464316
     _Istateicps_23 |  -.1818469   .1902135    -0.96   0.340    -.5562886    .1925948
     _Istateicps_24 |  -.2839724   .1579398    -1.80   0.073    -.5948824    .0269375
     _Istateicps_25 |   .0875255   .2660685     0.33   0.742    -.4362395    .6112905
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.4647298   .1417653    -3.28   0.001    -.7437996     -.18566
     _Istateicps_41 |  -.0125722   .1602247    -0.08   0.938    -.3279799    .3028354
     _Istateicps_42 |  -.9944972   .1688977    -5.89   0.000    -1.326978   -.6620163
     _Istateicps_43 |   .2085843   .1929893     1.08   0.281    -.1713216    .5884902
     _Istateicps_44 |   -.071738   .1645115    -0.44   0.663    -.3955843    .2521084
     _Istateicps_45 |  -.7284055   .1484253    -4.91   0.000    -1.020586   -.4362254
     _Istateicps_46 |   -.032445   .1932657    -0.17   0.867     -.412895    .3480051
     _Istateicps_47 |  -.3313008   .1608041    -2.06   0.040    -.6478492   -.0147524
     _Istateicps_48 |  -.5180244   .1756544    -2.95   0.003    -.8638061   -.1722427
     _Istateicps_49 |   1.026869   .1761185     5.83   0.000     .6801741    1.373565
     _Istateicps_51 |  -.3012637   .1461955    -2.06   0.040    -.5890546   -.0134729
     _Istateicps_52 |  -.6973522   .1785081    -3.91   0.000    -1.048752   -.3459529
     _Istateicps_53 |    .446286   .1665858     2.68   0.008     .1183563    .7742158
     _Istateicps_54 |  -.4595733   .1696216    -2.71   0.007    -.7934793   -.1256674
     _Istateicps_56 |  -.2234876   .1590051    -1.41   0.161    -.5364946    .0895193
     _Istateicps_61 |  -.6375197   .1394845    -4.57   0.000    -.9120996   -.3629398
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |    .278511   .1936598     1.44   0.152    -.1027149     .659737
     _Istateicps_64 |   1.679816   .3287869     5.11   0.000     1.032588    2.327044
     _Istateicps_65 |   .0090788    .173084     0.05   0.958    -.3316429    .3498006
     _Istateicps_66 |   .0988791    .158445     0.62   0.533    -.2130252    .4107835
     _Istateicps_67 |  -.2610373   .1683687    -1.55   0.122    -.5924767    .0704021
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .6354506   .1480211     4.29   0.000      .344066    .9268352
     _Istateicps_72 |    .185493   .2294983     0.81   0.420    -.2662822    .6372681
     _Istateicps_73 |   .6946614   .4250924     1.63   0.103    -.1421474     1.53147
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.334015   1.360416    -1.72   0.087    -5.012039    .3440096
-------------------------------------------------------------------------------------
(est8 stored)

.                 qui: sum pc1                    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. esttab using "results/tables/AppTab4_rf.tex" ,                                                                                     ///
>         order(iSUM3MO_DROUGHT3340 iAGRI_T73 ) drop(_cons)                                                                              ///
> indicate("State FE (48) = *state*")                                                                                                    ///
>         mgroups("War bonds" "Volunteers" "Medals" "PCA" "War bonds" "Volunteers" "Medals" "PCA", pattern(1 1 1 1 1 1 1 1)              ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         scalars("y_mean_round Mean dependent variable" )                                                                                      
>  ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)  nonotes                                                                                                 
> ///
>         nogaps title(Reduced Form. \label{tab:rf})
(output written to results/tables/AppTab4_rf.tex)

.         
. ***************************************************************************************************
. ****         Tab 5. Placebo                                                                                        ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg ww1_vol_pop10       iAGRI_T62 $control_ww1 if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID62)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(40, 287)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1883
                                                Root MSE          =     .40354

                          (Std. Err. adjusted for 288 clusters in DISTRICT_ID62)
--------------------------------------------------------------------------------
               |               Robust
 ww1_vol_pop10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     iAGRI_T62 |  -.0132308   .0173639    -0.76   0.447    -.0474074    .0209459
        lpop10 |   .0433963     .02033     2.13   0.034     .0033815    .0834111
      c10unemp |   .4964944   .2862957     1.73   0.084    -.0670111        1.06
     c10urban1 |   .0629305    .020812     3.02   0.003      .021967    .1038941
        c10men |   1.342326   .6741484     1.99   0.047     .0154238    2.669228
      c10black |    -.21509   .0507656    -4.24   0.000      -.31501   -.1151699
        c10jap |  -1.700752   2.298075    -0.74   0.460     -6.22397    2.822466
        c10deu |     .53164   .2222569     2.39   0.017     .0941798    .9691002
        c10ita |  -.5602079   .4671666    -1.20   0.231    -1.479715    .3592993
 _Istateicps_2 |   .0878973   .0660778     1.33   0.185    -.0421613    .2179558
 _Istateicps_3 |  -.0150511     .06557    -0.23   0.819    -.1441102    .1140079
 _Istateicps_4 |   .1525558   .0686548     2.22   0.027     .0174249    .2876866
 _Istateicps_5 |   .4038301   .2287594     1.77   0.079    -.0464287     .854089
 _Istateicps_6 |   .0504904   .0726403     0.70   0.488    -.0924849    .1934657
_Istateicps_11 |   .0275843   .0438507     0.63   0.530    -.0587255     .113894
_Istateicps_12 |  -.0849702   .0590579    -1.44   0.151    -.2012119    .0312714
_Istateicps_13 |  -.1831117   .0439544    -4.17   0.000    -.2696256   -.0965977
_Istateicps_14 |  -.1171893   .0503803    -2.33   0.021    -.2163511   -.0180275
_Istateicps_21 |  -.2750153   .0574604    -4.79   0.000    -.3881125   -.1619181
_Istateicps_22 |  -.1712565   .0633112    -2.70   0.007    -.2958698   -.0466433
_Istateicps_23 |  -.2780992   .0683596    -4.07   0.000     -.412649   -.1435494
_Istateicps_24 |  -.0670658   .0550636    -1.22   0.224    -.1754456    .0413139
_Istateicps_25 |  -.0246313   .0944134    -0.26   0.794    -.2104618    .1611992
_Istateicps_31 |          0  (omitted)
_Istateicps_32 |          0  (omitted)
_Istateicps_33 |          0  (omitted)
_Istateicps_34 |          0  (omitted)
_Istateicps_35 |          0  (omitted)
_Istateicps_36 |          0  (omitted)
_Istateicps_37 |          0  (omitted)
_Istateicps_40 |  -.1280063   .0608672    -2.10   0.036     -.247809   -.0082036
_Istateicps_41 |  -.0877983   .0732439    -1.20   0.232    -.2319616    .0563651
_Istateicps_42 |  -.0057236   .0586192    -0.10   0.922    -.1211017    .1096545
_Istateicps_43 |   .2454245   .0672851     3.65   0.000     .1129897    .3778593
_Istateicps_44 |  -.0647121   .0670818    -0.96   0.336    -.1967467    .0673226
_Istateicps_45 |  -.1376378   .0668615    -2.06   0.040    -.2692389   -.0060367
_Istateicps_46 |   -.039948   .0841214    -0.47   0.635    -.2055211    .1256251
_Istateicps_47 |  -.1126021   .0595082    -1.89   0.059    -.2297298    .0045257
_Istateicps_48 |  -.0807565   .0671719    -1.20   0.230    -.2129685    .0514555
_Istateicps_49 |  -.0658984   .0696087    -0.95   0.345    -.2029066    .0711098
_Istateicps_51 |  -.1737358   .0614791    -2.83   0.005    -.2947429   -.0527287
_Istateicps_52 |   .1669644   .1492374     1.12   0.264    -.1267742     .460703
_Istateicps_53 |  -.3139041   .0628028    -5.00   0.000    -.4375165   -.1902916
_Istateicps_54 |  -.1904349   .0603355    -3.16   0.002    -.3091911   -.0716787
_Istateicps_56 |  -.0601544   .0721874    -0.83   0.405    -.2022382    .0819293
_Istateicps_61 |   .0418569   .0757211     0.55   0.581    -.1071823    .1908961
_Istateicps_62 |          0  (omitted)
_Istateicps_63 |   .4124293    .069626     5.92   0.000     .2753869    .5494717
_Istateicps_64 |    .235424   .0854469     2.76   0.006     .0672419     .403606
_Istateicps_65 |  -.1672409   .1019625    -1.64   0.102      -.36793    .0334482
_Istateicps_66 |   .0695387   .0631217     1.10   0.272    -.0547015     .193779
_Istateicps_67 |   .0394681    .061345     0.64   0.520     -.081275    .1602112
_Istateicps_68 |          0  (omitted)
_Istateicps_71 |  -.1300163   .0829286    -1.57   0.118    -.2932417    .0332092
_Istateicps_72 |   .5294944   .0775074     6.83   0.000     .3769394    .6820493
_Istateicps_73 |  -.2918361   .0759459    -3.84   0.000    -.4413176   -.1423545
_Istateicps_98 |          0  (omitted)
         _cons |  -.6857303   .4890191    -1.40   0.162    -1.648249    .2767885
--------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum ww1_vol_pop10            if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.409"

. eststo: xi:  reg ww2_vol_pop40       iAGRI_T62 $control     if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID62)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(48, 287)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6171
                                                Root MSE          =     .21402

                               (Std. Err. adjusted for 288 clusters in DISTRICT_ID62)
-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T62 |   .0052464   .0142175     0.37   0.712    -.0227374    .0332303
         ww1_vol_sh |   .1110914   .0221591     5.01   0.000     .0674765    .1547064
ww1_awards_pop10_is |   .1327678   .0823202     1.61   0.108    -.0292601    .2947956
             lpop30 |  -.0207977   .0134861    -1.54   0.124    -.0473418    .0057465
           c30unemp |   .5723224   .2356164     2.43   0.016      .108567    1.036078
          c30urban1 |   .0136897   .0127507     1.07   0.284    -.0114071    .0387865
            c30farm |  -.0738584   .0819285    -0.90   0.368    -.2351154    .0873986
            iYf_T29 |  -.0166209   .0165797    -1.00   0.317    -.0492542    .0160123
           MEAN9628 |   .0001421   .0009718     0.15   0.884    -.0017706    .0020548
             c30men |  -1.262696   .5897529    -2.14   0.033    -2.423485   -.1019064
           c30black |  -.4447977   .0737791    -6.03   0.000    -.5900145   -.2995809
             c30jap |   .7305843   1.371596     0.53   0.595    -1.969079    3.430247
             c30deu |  -.6787152   .1850637    -3.67   0.000    -1.042969    -.314461
             c30ita |  -.2759057   .2834944    -0.97   0.331    -.8338974    .2820861
             c30vet |    1.15979   .3677981     3.15   0.002     .4358667    1.883714
           lc40wage |   .2181297   .0404398     5.39   0.000     .1385335    .2977258
      iwarconpro_PC |  -.0336719   .0082951    -4.06   0.000    -.0499987    -.017345
      _Istateicps_2 |  -.0442198   .0591007    -0.75   0.455    -.1605457    .0721061
      _Istateicps_3 |   .0352932   .0487208     0.72   0.469    -.0606022    .1311887
      _Istateicps_4 |   .1943008   .0570203     3.41   0.001     .0820697    .3065319
      _Istateicps_5 |  -.0163917   .0522042    -0.31   0.754    -.1191433      .08636
      _Istateicps_6 |   .2651617   .0522139     5.08   0.000      .162391    .3679324
     _Istateicps_11 |  -.1826808   .0461326    -3.96   0.000    -.2734819   -.0918797
     _Istateicps_12 |  -.1023344   .0506115    -2.02   0.044    -.2019512   -.0027176
     _Istateicps_13 |    .018407   .0490449     0.38   0.708    -.0781263    .1149403
     _Istateicps_14 |  -.2285059   .0462624    -4.94   0.000    -.3195625   -.1374492
     _Istateicps_21 |   .0377738   .0569288     0.66   0.508    -.0742771    .1498246
     _Istateicps_22 |  -.0769271   .0527118    -1.46   0.146    -.1806778    .0268237
     _Istateicps_23 |  -.0388453   .0619947    -0.63   0.531    -.1608673    .0831767
     _Istateicps_24 |  -.0976775   .0521049    -1.87   0.062    -.2002337    .0048788
     _Istateicps_25 |   .2024485   .0661054     3.06   0.002     .0723356    .3325615
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1872335   .0584938    -3.20   0.002    -.3023647   -.0721023
     _Istateicps_41 |   .0746312   .0647381     1.15   0.250    -.0527905    .2020529
     _Istateicps_42 |  -.2446515    .060007    -4.08   0.000    -.3627611    -.126542
     _Istateicps_43 |   .1842463   .0805031     2.29   0.023      .025795    .3426975
     _Istateicps_44 |   .1552901   .0564702     2.75   0.006     .0441419    .2664384
     _Istateicps_45 |   -.204227   .0607182    -3.36   0.001    -.3237364   -.0847176
     _Istateicps_46 |   .1070225   .0676215     1.58   0.115    -.0260745    .2401195
     _Istateicps_47 |  -.0332363   .0578479    -0.57   0.566    -.1470962    .0806235
     _Istateicps_48 |   .0548783   .0683664     0.80   0.423    -.0796849    .1894414
     _Istateicps_49 |   .5404308   .0776444     6.96   0.000      .387606    .6932555
     _Istateicps_51 |    .033595   .0619435     0.54   0.588    -.0883262    .1555162
     _Istateicps_52 |  -.3039886   .0519696    -5.85   0.000    -.4062785   -.2016987
     _Istateicps_53 |   .1593197   .0620654     2.57   0.011     .0371586    .2814807
     _Istateicps_54 |  -.0528924   .0651789    -0.81   0.418    -.1811817    .0753968
     _Istateicps_56 |   .0545791   .0630894     0.87   0.388    -.0695976    .1787557
     _Istateicps_61 |  -.5014438   .0556128    -9.02   0.000    -.6109044   -.3919831
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0460912   .0644109    -0.72   0.475    -.1728689    .0806865
     _Istateicps_64 |   .2078047   .0620427     3.35   0.001     .0856884    .3299211
     _Istateicps_65 |  -.1674527   .0792245    -2.11   0.035    -.3233873    -.011518
     _Istateicps_66 |   .1005381    .052632     1.91   0.057    -.0030555    .2041317
     _Istateicps_67 |  -.2053447   .0552288    -3.72   0.000    -.3140497   -.0966398
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0266577   .0731464     0.36   0.716    -.1173137    .1706291
     _Istateicps_72 |  -.1485505   .0743391    -2.00   0.047    -.2948694   -.0022316
     _Istateicps_73 |   .0533458   .1109609     0.48   0.631    -.1650545    .2717462
     _Istateicps_98 |          0  (omitted)
              _cons |   -.002852   .4629867    -0.01   0.995    -.9141322    .9084281
-------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww1_awards_pop10_is iAGRI_T62 $control_ww1 if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID62)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(40, 287)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1124
                                                Root MSE          =     .08833

                          (Std. Err. adjusted for 288 clusters in DISTRICT_ID62)
--------------------------------------------------------------------------------
               |               Robust
ww1_awards_p~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     iAGRI_T62 |  -.0008401   .0025157    -0.33   0.739    -.0057916    .0041114
        lpop10 |    .003484    .002593     1.34   0.180    -.0016196    .0085877
      c10unemp |  -.0313828   .0689169    -0.46   0.649    -.1670295    .1042638
     c10urban1 |   .0085946    .005178     1.66   0.098    -.0015971    .0187863
        c10men |   .3323542   .1274296     2.61   0.010      .081539    .5831693
      c10black |  -.0298563   .0091492    -3.26   0.001    -.0478644   -.0118482
        c10jap |   1.254594   .7783062     1.61   0.108    -.2773185    2.786506
        c10deu |   .0436813   .0232836     1.88   0.062    -.0021469    .0895095
        c10ita |   .0112135   .1324917     0.08   0.933    -.2495651    .2719921
 _Istateicps_2 |   .0011585   .0150091     0.08   0.939    -.0283833    .0307003
 _Istateicps_3 |   .0352835   .0150868     2.34   0.020     .0055887    .0649783
 _Istateicps_4 |  -.0185708   .0145927    -1.27   0.204    -.0472932    .0101515
 _Istateicps_5 |   .0240945    .014105     1.71   0.089    -.0036678    .0518567
 _Istateicps_6 |  -.0053593   .0151024    -0.35   0.723    -.0350848    .0243662
_Istateicps_11 |  -.0369709   .0136338    -2.71   0.007    -.0638059    -.010136
_Istateicps_12 |   .0016994   .0133895     0.13   0.899    -.0246546    .0280535
_Istateicps_13 |   .0037559   .0138296     0.27   0.786    -.0234643    .0309762
_Istateicps_14 |  -.0050107   .0139871    -0.36   0.720     -.032541    .0225197
_Istateicps_21 |  -.0157207   .0151642    -1.04   0.301    -.0455678    .0141264
_Istateicps_22 |  -.0358539   .0151963    -2.36   0.019    -.0657643   -.0059435
_Istateicps_23 |  -.0009937   .0157646    -0.06   0.950    -.0320226    .0300353
_Istateicps_24 |  -.0293491   .0143689    -2.04   0.042     -.057631   -.0010672
_Istateicps_25 |   -.032194   .0150223    -2.14   0.033    -.0617619   -.0026261
_Istateicps_31 |          0  (omitted)
_Istateicps_32 |          0  (omitted)
_Istateicps_33 |          0  (omitted)
_Istateicps_34 |          0  (omitted)
_Istateicps_35 |          0  (omitted)
_Istateicps_36 |          0  (omitted)
_Istateicps_37 |          0  (omitted)
_Istateicps_40 |   .0061933   .0174943     0.35   0.724    -.0282401    .0406267
_Istateicps_41 |  -.0143056   .0155127    -0.92   0.357    -.0448386    .0162274
_Istateicps_42 |  -.0453206   .0152327    -2.98   0.003    -.0753025   -.0153387
_Istateicps_43 |  -.0165271   .0166265    -0.99   0.321    -.0492524    .0161982
_Istateicps_44 |  -.0314217   .0162214    -1.94   0.054    -.0633497    .0005063
_Istateicps_45 |  -.0391446   .0158839    -2.46   0.014    -.0704083    -.007881
_Istateicps_46 |  -.0371861   .0158269    -2.35   0.019    -.0683377   -.0060346
_Istateicps_47 |   .0245212   .0165729     1.48   0.140    -.0080985     .057141
_Istateicps_48 |    .010884   .0198054     0.55   0.583    -.0280983    .0498664
_Istateicps_49 |  -.0218842   .0161069    -1.36   0.175    -.0535868    .0098184
_Istateicps_51 |  -.0192036    .015967    -1.20   0.230    -.0506309    .0122236
_Istateicps_52 |   .0141081   .0162376     0.87   0.386    -.0178519     .046068
_Istateicps_53 |  -.0214777   .0171306    -1.25   0.211    -.0551953    .0122399
_Istateicps_54 |   .0084331   .0191396     0.44   0.660    -.0292387    .0461049
_Istateicps_56 |  -.0385144   .0168698    -2.28   0.023    -.0717186   -.0053102
_Istateicps_61 |   .0088219    .018045     0.49   0.625    -.0266955    .0443393
_Istateicps_62 |          0  (omitted)
_Istateicps_63 |    .040107   .0174892     2.29   0.023     .0056835    .0745304
_Istateicps_64 |   .0560511   .0201362     2.78   0.006     .0164177    .0956845
_Istateicps_65 |   .0190137    .023557     0.81   0.420    -.0273527    .0653801
_Istateicps_66 |  -.0244934   .0161266    -1.52   0.130    -.0562347    .0072479
_Istateicps_67 |  -.0275217   .0165277    -1.67   0.097    -.0600526    .0050092
_Istateicps_68 |          0  (omitted)
_Istateicps_71 |  -.0602198   .0224354    -2.68   0.008    -.1043786    -.016061
_Istateicps_72 |   -.060516   .0258684    -2.34   0.020     -.111432   -.0096001
_Istateicps_73 |  -.0431776   .0235937    -1.83   0.068    -.0896162    .0032611
_Istateicps_98 |          0  (omitted)
         _cons |  -.1374128   .0745986    -1.84   0.067    -.2842426     .009417
--------------------------------------------------------------------------------
(est3 stored)

.                 qui: sum ww1_awards_pop10_is    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.058"

. eststo: xi:  reg ww2_awards_pop40_is iAGRI_T62 $control     if sample_ols == 1 & servicecommand != 7, cluster(DISTRICT_ID62)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(48, 287)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1815
                                                Root MSE          =     .11686

                               (Std. Err. adjusted for 288 clusters in DISTRICT_ID62)
-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T62 |     .00131   .0041022     0.32   0.750    -.0067641    .0093842
         ww1_vol_sh |   .0568167   .0219908     2.58   0.010     .0135329    .1001005
ww1_awards_pop10_is |   .0373473   .0283444     1.32   0.189    -.0184419    .0931365
             lpop30 |  -.0203066   .0132095    -1.54   0.125    -.0463064    .0056932
           c30unemp |   .1399495    .163147     0.86   0.392    -.1811668    .4610658
          c30urban1 |   .0081281   .0052357     1.55   0.122    -.0021772    .0184333
            c30farm |    .032519   .0316868     1.03   0.306    -.0298491     .094887
            iYf_T29 |   .0171392   .0103773     1.65   0.100    -.0032862    .0375646
           MEAN9628 |   .0001148   .0003144     0.37   0.715     -.000504    .0007337
             c30men |   -.545563   .2622703    -2.08   0.038     -1.06178   -.0293458
           c30black |  -.0541466   .0219859    -2.46   0.014    -.0974206   -.0108725
             c30jap |   .8800152   .6122789     1.44   0.152    -.3251115    2.085142
             c30deu |   .0672444   .1261229     0.53   0.594    -.1809987    .3154875
             c30ita |  -.0244665   .1720044    -0.14   0.887    -.3630166    .3140836
             c30vet |   .2860046   .1003397     2.85   0.005     .0885095    .4834996
           lc40wage |   .0593228   .0199897     2.97   0.003     .0199778    .0986677
      iwarconpro_PC |   .0049582   .0052467     0.95   0.345    -.0053688    .0152852
      _Istateicps_2 |  -.0422959   .0329965    -1.28   0.201    -.1072418      .02265
      _Istateicps_3 |  -.0021144   .0189779    -0.11   0.911    -.0394679     .035239
      _Istateicps_4 |  -.0417416   .0275276    -1.52   0.131    -.0959233      .01244
      _Istateicps_5 |   .0543076   .0361228     1.50   0.134    -.0167917    .1254069
      _Istateicps_6 |  -.0372784   .0422993    -0.88   0.379    -.1205346    .0459779
     _Istateicps_11 |  -.0497408    .016366    -3.04   0.003    -.0819534   -.0175282
     _Istateicps_12 |  -.0409147   .0177547    -2.30   0.022    -.0758607   -.0059687
     _Istateicps_13 |  -.0153248   .0184119    -0.83   0.406    -.0515643    .0209146
     _Istateicps_14 |  -.0425055   .0184936    -2.30   0.022    -.0789059   -.0061052
     _Istateicps_21 |  -.0376042    .027615    -1.36   0.174    -.0919578    .0167494
     _Istateicps_22 |  -.0654259   .0270348    -2.42   0.016    -.1186376   -.0122142
     _Istateicps_23 |  -.0399719   .0308814    -1.29   0.197    -.1007546    .0208107
     _Istateicps_24 |  -.0252644    .025817    -0.98   0.329     -.076079    .0255502
     _Istateicps_25 |  -.0718681   .0412892    -1.74   0.083    -.1531361    .0093998
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0369059   .0212973    -1.73   0.084    -.0788247    .0050129
     _Istateicps_41 |  -.0353421   .0212684    -1.66   0.098    -.0772039    .0065198
     _Istateicps_42 |  -.0470092   .0214285    -2.19   0.029    -.0891861   -.0048322
     _Istateicps_43 |  -.0028529   .0285666    -0.10   0.921    -.0590794    .0533737
     _Istateicps_44 |  -.0440329   .0226134    -1.95   0.052     -.088542    .0004763
     _Istateicps_45 |  -.0388602   .0189884    -2.05   0.042    -.0762343   -.0014861
     _Istateicps_46 |  -.0133416   .0220202    -0.61   0.545    -.0566832         .03
     _Istateicps_47 |  -.0469993   .0193003    -2.44   0.015    -.0849874   -.0090112
     _Istateicps_48 |  -.0293109    .021867    -1.34   0.181    -.0723508     .013729
     _Istateicps_49 |   .0076133   .0237517     0.32   0.749    -.0391364     .054363
     _Istateicps_51 |  -.0367963   .0204308    -1.80   0.073    -.0770095    .0034169
     _Istateicps_52 |  -.0324705    .024456    -1.33   0.185    -.0806063    .0156653
     _Istateicps_53 |  -.0090675   .0201433    -0.45   0.653    -.0487149    .0305799
     _Istateicps_54 |  -.0396541   .0198062    -2.00   0.046    -.0786378   -.0006703
     _Istateicps_56 |  -.0338899   .0184519    -1.84   0.067    -.0702082    .0024283
     _Istateicps_61 |   .0245308   .0183788     1.33   0.183    -.0116436    .0607051
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0117152   .0314325     0.37   0.710    -.0501523    .0735828
     _Istateicps_64 |   .1309431   .0246712     5.31   0.000     .0823837    .1795025
     _Istateicps_65 |   .0077368   .0274763     0.28   0.778    -.0463439    .0618174
     _Istateicps_66 |  -.0018566    .021152    -0.09   0.930    -.0434894    .0397762
     _Istateicps_67 |   .0115425   .0247798     0.47   0.642    -.0372306    .0603156
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0738624   .0228678     3.23   0.001     .0288526    .1188723
     _Istateicps_72 |  -.0112618   .0383886    -0.29   0.769    -.0868207     .064297
     _Istateicps_73 |   .0273246   .0339295     0.81   0.421    -.0394577    .0941069
     _Istateicps_98 |          0  (omitted)
              _cons |   .1245066    .204491     0.61   0.543    -.2779858    .5269989
-------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum ww2_awards_pop40_is    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. 
. esttab using "results/tables/AppTab5_placebo.tex" ,                                                                                    ///
>     indicate("WWI controls = *$control_ww1_nofe*" "WWII controls = *$control_nofe*" "State FE (48) = *state*")                             ///
>         drop(_cons)                                                                                                                    ///
>         mgroups("Volunteers" "Medals" , pattern(1 0 1 0)                                                                               ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         mlabel("WWI" "WWII" "WWI" "WWII")                                                                                                     
>  ///
>         scalars("y_mean_round Mean dependent variable" )                                                                               ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                                                                   ///
>         nogaps title(Pre-WWI Committee Membership. \label{tab:placebo}) nonotes
(output written to results/tables/AppTab5_placebo.tex)

.         
. ***************************************************************************************************
. ****         Tab 6.  Mediation                                                                                 ****
. ****                 Panel A: New Deal grants                                                          ****
. ***************************************************************************************************     
. foreach mediator in c40emp c40wage FDR40 {
  2.         cap drop state1-state39
  3.         tab stateicpsr if sample_ols == 1 , gen(state)
  4.         macro def controlmediation     "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c
> 30jap c30deu c30ita c30vet lc40wage iwarconpro_PC state1-state48"
  5.         sgmediation iwarbond_1944_PC if sample_ols == 1 , mv(`mediator') iv(iNDEXP_PC) cv($controlmediation) 
  6.         local bond_`mediator'      = string(`r(ind2tot)'*100, "%9.1f") + "%"
  7. 
.         drop state1-state48
  8.         tab stateicpsr if sample_ols == 1 & servicecommand != 7, gen(state)
  9.         macro def controlmediation     "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c
> 30jap c30deu c30ita c30vet lc40wage iwarconpro_PC state1-state39"
 10.         sgmediation ww2_vol_pop40        if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iNDEXP_PC) cv($controlmediation) 
 11.         local volunteer_`mediator' = string(`r(ind2tot)'*100, "%9.1f") + "%"
 12.         sgmediation ww2_awards_pop40_is  if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iNDEXP_PC) cv($controlmediation) 
 13.         local medal_`mediator'     = string(`r(ind2tot)'*100, "%9.1f") + "%"
 14.         sgmediation pc1                  if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iNDEXP_PC) cv($controlmediation) 
 15.         local pca_`mediator'       = string(`r(ind2tot)'*100, "%9.1f") + "%"
 16. } /* foreach mediator */

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     85.80
       Model |  897.782918        64  14.0278581   Prob > F        =    0.0000
    Residual |  483.469001     2,957  .163499831   R-squared       =    0.6500
-------------+----------------------------------   Adj R-squared   =    0.6424
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .40435

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1913998   .0197042     9.71   0.000     .1527645    .2300352
         ww1_vol_sh |  -.0037429    .035541    -0.11   0.916    -.0734304    .0659447
ww1_awards_pop10_is |   .2400123   .0854461     2.81   0.005     .0724724    .4075521
             lpop30 |  -.0296454   .0143736    -2.06   0.039    -.0578285   -.0014622
           c30unemp |  -.7161748   .2507092    -2.86   0.004    -1.207757   -.2245925
          c30urban1 |   .0752111   .0216018     3.48   0.001     .0328549    .1175672
            c30farm |  -.4194219   .0742745    -5.65   0.000    -.5650568    -.273787
            iYf_T29 |   .0884241   .0169226     5.23   0.000     .0552429    .1216053
           MEAN9628 |   .0034886   .0008446     4.13   0.000     .0018325    .0051446
             c30men |  -1.707234   .6124857    -2.79   0.005    -2.908176   -.5062927
           c30black |  -.2844474   .0735073    -3.87   0.000     -.428578   -.1403168
             c30jap |   6.097407    2.37608     2.57   0.010     1.438469    10.75634
             c30deu |   .9365989   .2035567     4.60   0.000     .5374717    1.335726
             c30ita |  -.3709609   .4830201    -0.77   0.443    -1.318051    .5761288
             c30vet |  -.0730453    .301395    -0.24   0.809    -.6640104    .5179199
           lc40wage |   .5192187   .0488098    10.64   0.000     .4235142    .6149233
      iwarconpro_PC |   .2594412   .0153904    16.86   0.000     .2292642    .2896181
             state1 |   .3589533   .2313472     1.55   0.121    -.0946644    .8125711
             state2 |   .1614177   .2154773     0.75   0.454     -.261083    .5839183
             state3 |   .1188378   .2187754     0.54   0.587    -.3101298    .5478053
             state4 |   .2513451   .2288245     1.10   0.272    -.1973264    .7000166
             state5 |          0  (omitted)
             state6 |   .3154862    .217912     1.45   0.148    -.1117884    .7427607
             state7 |     .54979   .3004255     1.83   0.067    -.0392743    1.138854
             state8 |   .2178129    .202906     1.07   0.283    -.1800384    .6156641
             state9 |   .2886939   .1920018     1.50   0.133    -.0877769    .6651647
            state10 |    .254999   .1932773     1.32   0.187    -.1239727    .6339707
            state11 |   .4592377   .1940763     2.37   0.018     .0786994     .839776
            state12 |    .385427   .1949983     1.98   0.048     .0030808    .7677732
            state13 |   .2906269   .1961277     1.48   0.138    -.0939336    .6751875
            state14 |   .2706141    .194694     1.39   0.165    -.1111353    .6523636
            state15 |   .3786711   .1992504     1.90   0.057    -.0120125    .7693546
            state16 |   .9677728   .1959187     4.94   0.000      .583622    1.351924
            state17 |    .835652   .1956125     4.27   0.000     .4521016    1.219202
            state18 |   .7160097   .1985752     3.61   0.000     .3266501    1.105369
            state19 |   .3398656   .1949993     1.74   0.081    -.0424825    .7222136
            state20 |   .9447072   .1970493     4.79   0.000     .5583395    1.331075
            state21 |   1.057719   .2021897     5.23   0.000     .6612718    1.454165
            state22 |   .7483223   .2002247     3.74   0.000     .3557284    1.140916
            state23 |   .3767814   .1968831     1.91   0.056    -.0092603    .7628231
            state24 |    .324361   .2005447     1.62   0.106    -.0688604    .7175825
            state25 |  -.0602583    .198237    -0.30   0.761    -.4489548    .3284382
            state26 |   .2531762   .1986159     1.27   0.203    -.1362631    .6426156
            state27 |   .2040181   .1966425     1.04   0.300    -.1815519    .5895881
            state28 |    .062288   .1993557     0.31   0.755    -.3286019     .453178
            state29 |   .2107447   .2011984     1.05   0.295    -.1837583    .6052477
            state30 |   .2494432   .1964203     1.27   0.204    -.1356912    .6345777
            state31 |  -.0783286   .2065651    -0.38   0.705    -.4833546    .3266973
            state32 |   .5092016   .1951194     2.61   0.009     .1266181    .8917852
            state33 |   .0132043    .194856     0.07   0.946    -.3688628    .3952714
            state34 |   .2612692   .2092721     1.25   0.212    -.1490646     .671603
            state35 |   .4282897   .1978216     2.17   0.030     .0404078    .8161716
            state36 |   .1768212   .1962746     0.90   0.368    -.2080274    .5616697
            state37 |   .0551394   .1975526     0.28   0.780    -.3322151    .4424939
            state38 |   .1989612    .226134     0.88   0.379    -.2444348    .6423571
            state39 |   .3773114   .1969426     1.92   0.055     -.008847    .7634698
            state40 |   .5044126   .2010322     2.51   0.012     .1102355    .8985898
            state41 |   .9409373   .2025271     4.65   0.000     .5438289    1.338046
            state42 |    .312563   .2171271     1.44   0.150    -.1131726    .7382985
            state43 |   .0805472   .2081126     0.39   0.699     -.327513    .4886074
            state44 |   .2191868   .2041675     1.07   0.283     -.181138    .6195117
            state45 |   .7828907   .2121724     3.69   0.000       .36687    1.198911
            state46 |   .5494371    .200007     2.75   0.006     .1572701    .9416042
            state47 |   .9308496    .204531     4.55   0.000      .529812    1.331887
            state48 |   .7349725   .2028534     3.62   0.000     .3372244    1.132721
              _cons |   .7027121   .5278525     1.33   0.183    -.3322834    1.737708
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     44.20
       Model |  1.96816353        64  .030752555   Prob > F        =    0.0000
    Residual |  2.05739835     2,957  .000695772   R-squared       =    0.4889
-------------+----------------------------------   Adj R-squared   =    0.4779
       Total |  4.02556188     3,021  .001332526   Root MSE        =    .02638

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0049684   .0012854    -3.87   0.000    -.0074887   -.0024481
         ww1_vol_sh |  -.0030919   .0023185    -1.33   0.182    -.0076379    .0014541
ww1_awards_pop10_is |   .0008982    .005574     0.16   0.872    -.0100311    .0118275
             lpop30 |   -.003431   .0009376    -3.66   0.000    -.0052695   -.0015925
           c30unemp |  -.1535483   .0163548    -9.39   0.000    -.1856162   -.1214803
          c30urban1 |   .0001669   .0014092     0.12   0.906    -.0025961      .00293
            c30farm |   .0814668   .0048452    16.81   0.000     .0719664    .0909672
            iYf_T29 |   .0035035   .0011039     3.17   0.002      .001339    .0056681
           MEAN9628 |   .0001214   .0000551     2.20   0.028     .0000133    .0002294
             c30men |  -.1290363    .039955    -3.23   0.001    -.2073787   -.0506939
           c30black |   .0202023   .0047952     4.21   0.000        .0108    .0296045
             c30jap |   -.355366   .1550015    -2.29   0.022    -.6592877   -.0514442
             c30deu |   .0383679   .0132788     2.89   0.004     .0123312    .0644046
             c30ita |  -.0616506   .0315094    -1.96   0.050    -.1234332     .000132
             c30vet |   .0377459   .0196612     1.92   0.055    -.0008052     .076297
           lc40wage |   .0398749   .0031841    12.52   0.000     .0336317    .0461181
      iwarconpro_PC |    .003914    .001004     3.90   0.000     .0019455    .0058826
             state1 |   .0031356   .0150917     0.21   0.835    -.0264558     .032727
             state2 |   -.033136   .0140565    -2.36   0.018    -.0606975   -.0055746
             state3 |   -.008017   .0142716    -0.56   0.574    -.0360003    .0199663
             state4 |    .002073   .0149272     0.14   0.890    -.0271956    .0313417
             state5 |          0  (omitted)
             state6 |    .002258   .0142153     0.16   0.874    -.0256149    .0301309
             state7 |   .0009312    .019598     0.05   0.962    -.0374959    .0393583
             state8 |  -.0061737   .0132364    -0.47   0.641    -.0321272    .0197797
             state9 |  -.0135395   .0125251    -1.08   0.280    -.0380982    .0110192
            state10 |  -.0281238   .0126083    -2.23   0.026    -.0528457   -.0034019
            state11 |   .0087417   .0126604     0.69   0.490    -.0160823    .0335658
            state12 |  -.0070788   .0127205    -0.56   0.578    -.0320208    .0178633
            state13 |  -.0168984   .0127942    -1.32   0.187    -.0419849     .008188
            state14 |  -.0079688   .0127007    -0.63   0.530    -.0328719    .0169343
            state15 |  -.0055669   .0129979    -0.43   0.668    -.0310528     .019919
            state16 |   .0070611   .0127806     0.55   0.581    -.0179986    .0321209
            state17 |    .006266   .0127606     0.49   0.623    -.0187546    .0312866
            state18 |  -.0076944   .0129539    -0.59   0.553    -.0330939    .0177051
            state19 |   .0050764   .0127206     0.40   0.690    -.0198658    .0300185
            state20 |   .0079144   .0128543     0.62   0.538    -.0172899    .0331188
            state21 |   .0230221   .0131897     1.75   0.081    -.0028398     .048884
            state22 |  -.0017416   .0130615    -0.13   0.894    -.0273521    .0238689
            state23 |  -.0041292   .0128435    -0.32   0.748    -.0293123    .0210539
            state24 |   .0042843   .0130824     0.33   0.743    -.0213672    .0299357
            state25 |   .0032963   .0129318     0.25   0.799    -.0220599    .0286526
            state26 |   .0143335   .0129565     1.11   0.269    -.0110712    .0397383
            state27 |   .0195823   .0128278     1.53   0.127      -.00557    .0447346
            state28 |  -.0122457   .0130048    -0.94   0.346    -.0377451    .0132537
            state29 |   .0025322    .013125     0.19   0.847    -.0232028    .0282673
            state30 |   .0066129   .0128133     0.52   0.606     -.018511    .0317369
            state31 |    .014597   .0134751     1.08   0.279    -.0118246    .0410185
            state32 |  -.0025313   .0127284    -0.20   0.842    -.0274888    .0224262
            state33 |  -.0205395   .0127113    -1.62   0.106    -.0454633    .0043843
            state34 |   .0035614   .0136517     0.26   0.794    -.0232063    .0303292
            state35 |  -.0096802   .0129047    -0.75   0.453    -.0349833     .015623
            state36 |   -.003568   .0128038    -0.28   0.781    -.0286732    .0215373
            state37 |  -.0298534   .0128872    -2.32   0.021    -.0551221   -.0045847
            state38 |  -.0208809   .0147517    -1.42   0.157    -.0498055    .0080436
            state39 |  -.0204201   .0128474    -1.59   0.112    -.0456108    .0047706
            state40 |  -.0355555   .0131142    -2.71   0.007    -.0612693   -.0098417
            state41 |  -.0250022   .0132117    -1.89   0.059    -.0509072    .0009028
            state42 |  -.0022014   .0141641    -0.16   0.877    -.0299739    .0255711
            state43 |  -.0367028    .013576    -2.70   0.007    -.0633223   -.0100834
            state44 |  -.0239626   .0133187    -1.80   0.072    -.0500775    .0021522
            state45 |   -.010723   .0138409    -0.77   0.439    -.0378617    .0164158
            state46 |   -.026963   .0130473    -2.07   0.039    -.0525457   -.0013804
            state47 |  -.0015963   .0133424    -0.12   0.905    -.0277576     .024565
            state48 |  -.0052676    .013233    -0.40   0.691    -.0312143    .0206792
              _cons |   .7512772    .034434    21.82   0.000     .6837601    .8187942
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     87.72
       Model |  909.661035        65  13.9947852   Prob > F        =    0.0000
    Residual |  471.590883     2,956  .159536835   R-squared       =    0.6586
-------------+----------------------------------   Adj R-squared   =    0.6511
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .39942

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   2.402783   .2784654     8.63   0.000     1.856778    2.948789
          iNDEXP_PC |   .2033378   .0195131    10.42   0.000     .1650773    .2415984
         ww1_vol_sh |   .0036864   .0351181     0.10   0.916    -.0651721    .0725449
ww1_awards_pop10_is |    .237854   .0844046     2.82   0.005     .0723564    .4033517
             lpop30 |  -.0214014   .0142304    -1.50   0.133    -.0493039    .0065011
           c30unemp |  -.3472316   .2513162    -1.38   0.167    -.8400041     .145541
          c30urban1 |     .07481   .0213385     3.51   0.000     .0329702    .1166497
            c30farm |   -.615169    .076796    -8.01   0.000     -.765748     -.46459
            iYf_T29 |   .0800058   .0167447     4.78   0.000     .0471735    .1128382
           MEAN9628 |    .003197    .000835     3.83   0.000     .0015598    .0048342
             c30men |  -1.397188   .6060834    -2.31   0.021    -2.585576   -.2087998
           c30black |  -.3329891   .0728285    -4.57   0.000    -.4757889   -.1901893
             c30jap |   6.951275   2.349192     2.96   0.003     2.345057    11.55749
             c30deu |   .8444092   .2013583     4.19   0.000     .4495926    1.239226
             c30ita |  -.2228278   .4774391    -0.47   0.641    -1.158975    .7133189
             c30vet |  -.1637406   .2979054    -0.55   0.583    -.7478635    .4203824
           lc40wage |    .423408   .0494767     8.56   0.000     .3263957    .5204202
      iwarconpro_PC |   .2500366   .0152417    16.40   0.000     .2201511    .2799221
             state1 |   .3514192   .2285279     1.54   0.124    -.0966707    .7995091
             state2 |   .2410364   .2130497     1.13   0.258    -.1767045    .6587773
             state3 |   .1381008   .2161193     0.64   0.523    -.2856587    .5618604
             state4 |    .246364   .2260351     1.09   0.276    -.1968381    .6895661
             state5 |          0  (omitted)
             state6 |   .3100607   .2152558     1.44   0.150    -.1120057    .7321271
             state7 |   .5475525   .2967624     1.85   0.065    -.0343293    1.129434
             state8 |    .232647   .2004392     1.16   0.246    -.1603675    .6256615
             state9 |   .3212264   .1896981     1.69   0.090    -.0507274    .6931802
            state10 |   .3225743   .1910811     1.69   0.091    -.0520912    .6972399
            state11 |   .4382332   .1917253     2.29   0.022     .0623046    .8141617
            state12 |   .4024357   .1926307     2.09   0.037     .0247319    .7801396
            state13 |   .3312302   .1937933     1.71   0.088    -.0487533    .7112137
            state14 |   .2897614   .1923328     1.51   0.132    -.0873583    .6668811
            state15 |   .3920472   .1968269     1.99   0.046     .0061154    .7779789
            state16 |   .9508064   .1935397     4.91   0.000     .5713202    1.330293
            state17 |   .8205961   .1932352     4.25   0.000     .4417071    1.199485
            state18 |   .7344977   .1961655     3.74   0.000     .3498628    1.119133
            state19 |   .3276681   .1926267     1.70   0.089    -.0500279    .7053642
            state20 |   .9256905    .194659     4.76   0.000     .5440096    1.307371
            state21 |   1.002401   .1998271     5.02   0.000     .6105871    1.394216
            state22 |   .7525071   .1977839     3.80   0.000      .364699    1.140315
            state23 |   .3867031   .1944857     1.99   0.047     .0053619    .7680443
            state24 |   .3140668    .198103     1.59   0.113    -.0743669    .7025006
            state25 |  -.0681787   .1958219    -0.35   0.728    -.4521399    .3157824
            state26 |   .2187358   .1962346     1.11   0.265    -.1660345    .6035062
            state27 |   .1569661   .1943212     0.81   0.419    -.2240526    .5379847
            state28 |   .0917118   .1969543     0.47   0.642    -.2944697    .4778933
            state29 |   .2046603   .1987463     1.03   0.303    -.1850348    .5943554
            state30 |   .2335538    .194034     1.20   0.229    -.1469017    .6140092
            state31 |   -.113402   .2040868    -0.56   0.578    -.5135686    .2867647
            state32 |   .5152838   .1927415     2.67   0.008     .1373628    .8932049
            state33 |   .0625562    .192565     0.32   0.745    -.3150188    .4401312
            state34 |   .2527118   .2067227     1.22   0.222    -.1526233    .6580469
            state35 |    .451549    .195428     2.31   0.021     .0683603    .8347378
            state36 |   .1853942   .1938838     0.96   0.339    -.1947667    .5655552
            state37 |   .1268707   .1953207     0.65   0.516    -.2561077     .509849
            state38 |   .2491335   .2234523     1.11   0.265    -.1890043    .6872713
            state39 |   .4263764   .1946242     2.19   0.029     .0447638    .8079891
            state40 |   .5898448   .1988275     2.97   0.003     .1999904    .9796993
            state41 |   1.001012   .2001787     5.00   0.000     .6085084    1.393516
            state42 |   .3178524   .2144804     1.48   0.138    -.1026936    .7383985
            state43 |   .1687361   .2058289     0.82   0.412    -.2348463    .5723185
            state44 |   .2767638   .2017883     1.37   0.170    -.1188961    .6724237
            state45 |   .8086556   .2096066     3.86   0.000      .397666    1.219645
            state46 |   .6142235   .1977108     3.11   0.002     .2265587    1.001888
            state47 |   .9346852   .2020376     4.63   0.000     .5385366    1.330834
            state48 |   .7476294   .2003852     3.73   0.000     .3547207    1.140538
              _cons |  -1.102444   .5618197    -1.96   0.050    -2.204042   -.0008467
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.01193799    .00338423  -3.528      .00041945
Goodman-1 (Aroian)  -.01193799    .00340311  -3.508      .00045155
Goodman-2           -.01193799    .00336525  -3.547      .00038901

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -.004968   .001285  -3.86529    .000111
b coefficient   =  2.40278   .278465   8.62866          0
Indirect effect = -.011938   .003384  -3.52753    .000419
  Direct effect =  .203338   .019513   10.4206          0
   Total effect =    .1914   .019704   9.71365          0

Proportion of total effect that is mediated:  -.062372
Ratio of indirect to direct effect:           -.05871013
Ratio of total to direct effect:              .94128987

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     67.36
       Model |  168.539449        55  3.06435361   Prob > F        =    0.0000
    Residual |  103.398021     2,273   .04548967   R-squared       =    0.6198
-------------+----------------------------------   Adj R-squared   =    0.6106
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21328

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0471713   .0118008     4.00   0.000     .0240298    .0703128
         ww1_vol_sh |    .110829    .022157     5.00   0.000     .0673789    .1542791
ww1_awards_pop10_is |   .1295866   .0514804     2.52   0.012     .0286331    .2305401
             lpop30 |  -.0150495   .0084414    -1.78   0.075    -.0316032    .0015043
           c30unemp |   .5311241   .1448587     3.67   0.000     .2470551    .8151932
          c30urban1 |   .0166562   .0129945     1.28   0.200    -.0088261    .0421385
            c30farm |  -.0670716   .0426817    -1.57   0.116    -.1507707    .0166276
            iYf_T29 |  -.0200108   .0100182    -2.00   0.046    -.0396565   -.0003651
           MEAN9628 |   .0000689   .0004784     0.14   0.886    -.0008692    .0010069
             c30men |  -1.373568   .3584179    -3.83   0.000    -2.076429   -.6707078
           c30black |  -.4372501   .0394479   -11.08   0.000    -.5146076   -.3598925
             c30jap |   .8435633   1.321593     0.64   0.523    -1.748092    3.435219
             c30deu |  -.6184738   .1544416    -4.00   0.000     -.921335   -.3156127
             c30ita |  -.2575304   .2721367    -0.95   0.344    -.7911928     .276132
             c30vet |   1.064258    .187872     5.66   0.000     .6958393    1.432676
           lc40wage |   .2232951   .0280546     7.96   0.000     .1682799    .2783104
      iwarconpro_PC |  -.0386987   .0088617    -4.37   0.000    -.0560766   -.0213208
             state1 |   .1905889   .1466435     1.30   0.194    -.0969802     .478158
             state2 |   .1559052   .1349626     1.16   0.248    -.1087575     .420568
             state3 |   .2085811   .1388077     1.50   0.133     -.063622    .4807842
             state4 |   .4006447   .1411049     2.84   0.005     .1239367    .6773526
             state5 |   .1700719   .1588611     1.07   0.284     -.141456    .4815998
             state6 |   .4755674   .1365663     3.48   0.001     .2077598     .743375
             state7 |          0  (omitted)
             state8 |   .0817437   .1337208     0.61   0.541     -.180484    .3439714
             state9 |   .2090191   .1271443     1.64   0.100     -.040312    .4583502
            state10 |  -.0509259   .1264367    -0.40   0.687    -.2988692    .1970174
            state11 |   .2100637   .1261008     1.67   0.096    -.0372211    .4573485
            state12 |   .1071797   .1259213     0.85   0.395     -.139753    .3541124
            state13 |   .1385665   .1267018     1.09   0.274    -.1098968    .3870297
            state14 |   .0805558    .125817     0.64   0.522    -.1661724    .3272841
            state15 |   .3763241   .1289918     2.92   0.004       .12337    .6292782
            state16 |   .0329527   .1263485     0.26   0.794    -.2148176    .2807231
            state17 |   .2782245   .1277715     2.18   0.030     .0276635    .5287855
            state18 |  -.0530738    .127242    -0.42   0.677    -.3025965    .1964488
            state19 |   .3831701    .127744     3.00   0.003     .1326631    .6336772
            state20 |   .3686331   .1265726     2.91   0.004     .1204232     .616843
            state21 |  -.0042087   .1278942    -0.03   0.974    -.2550102    .2465928
            state22 |   .3076103    .128132     2.40   0.016     .0563424    .5588782
            state23 |   .1748883   .1263231     1.38   0.166    -.0728323    .4226088
            state24 |   .2473742   .1303747     1.90   0.058    -.0082916      .50304
            state25 |   .7249826   .1257098     5.77   0.000     .4784646    .9715005
            state26 |   .2290382   .1257767     1.82   0.069     -.017611    .4756873
            state27 |  -.1045386   .1317991    -0.79   0.428    -.3629977    .1539204
            state28 |   .3319845   .1271833     2.61   0.009     .0825769    .5813921
            state29 |   .1562321   .1264841     1.24   0.217    -.0918042    .4042683
            state30 |   .2432921    .127233     1.91   0.056    -.0062128    .4927969
            state31 |  -.3522229   .1393484    -2.53   0.012    -.6254861   -.0789596
            state32 |   .1249638   .1291475     0.97   0.333    -.1282956    .3782232
            state33 |   .3578638   .1296144     2.76   0.006     .1036889    .6120387
            state34 |   -.024013   .1380046    -0.17   0.862    -.2946411    .2466151
            state35 |   .2609377    .131712     1.98   0.048     .0026493    .5192261
            state36 |   -.033978   .1306157    -0.26   0.795    -.2901165    .2221605
            state37 |   .2089549   .1298754     1.61   0.108    -.0457318    .4636415
            state38 |   .0386729   .1301693     0.30   0.766    -.2165902     .293936
            state39 |   .2269505   .1296395     1.75   0.080    -.0272735    .4811745
              _cons |  -.4573981   .3173707    -1.44   0.150    -1.079765    .1649684
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     40.80
       Model |  1.67984872        55  .030542704   Prob > F        =    0.0000
    Residual |  1.70158815     2,273  .000748609   R-squared       =    0.4968
-------------+----------------------------------   Adj R-squared   =    0.4846
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02736

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0068422   .0015139    -4.52   0.000    -.0098108   -.0038735
         ww1_vol_sh |  -.0033837   .0028424    -1.19   0.234    -.0089577    .0021902
ww1_awards_pop10_is |   .0043343   .0066041     0.66   0.512    -.0086164    .0172849
             lpop30 |  -.0041036   .0010829    -3.79   0.000    -.0062272     -.00198
           c30unemp |  -.1603653    .018583    -8.63   0.000    -.1968067   -.1239239
          c30urban1 |   .0016803    .001667     1.01   0.314    -.0015886    .0049493
            c30farm |   .0783141   .0054754    14.30   0.000     .0675769    .0890513
            iYf_T29 |   .0036869   .0012852     2.87   0.004     .0011667    .0062072
           MEAN9628 |   .0001716   .0000614     2.80   0.005     .0000513    .0002919
             c30men |  -.1034273   .0459791    -2.25   0.025    -.1935927   -.0132618
           c30black |   .0192243   .0050605     3.80   0.000     .0093006     .029148
             c30jap |  -.3540802   .1695387    -2.09   0.037     -.686547   -.0216133
             c30deu |   .0352605   .0198123     1.78   0.075    -.0035916    .0741126
             c30ita |  -.0679833   .0349107    -1.95   0.052    -.1364435    .0004768
             c30vet |   .0367425   .0241009     1.52   0.128    -.0105196    .0840045
           lc40wage |   .0383367   .0035989    10.65   0.000     .0312791    .0453942
      iwarconpro_PC |   .0051988   .0011368     4.57   0.000     .0029695    .0074281
             state1 |   .0019773    .018812     0.11   0.916    -.0349131    .0388677
             state2 |  -.0345357   .0173135    -1.99   0.046    -.0684876   -.0005838
             state3 |  -.0075809   .0178068    -0.43   0.670    -.0425001    .0273383
             state4 |    .000547   .0181014     0.03   0.976    -.0349501    .0360441
             state5 |  -.0008984   .0203793    -0.04   0.965    -.0408623    .0390655
             state6 |   .0019654   .0175192     0.11   0.911    -.0323899    .0363207
             state7 |          0  (omitted)
             state8 |  -.0067084   .0171542    -0.39   0.696    -.0403479    .0269311
             state9 |  -.0140722   .0163105    -0.86   0.388    -.0460573    .0179129
            state10 |  -.0281972   .0162198    -1.74   0.082    -.0600043    .0036099
            state11 |   .0090543   .0161767     0.56   0.576    -.0226683    .0407769
            state12 |  -.0077418   .0161536    -0.48   0.632    -.0394192    .0239356
            state13 |  -.0166801   .0162538    -1.03   0.305    -.0485539    .0151936
            state14 |   -.008347   .0161403    -0.52   0.605    -.0399982    .0233042
            state15 |  -.0050889   .0165475    -0.31   0.758    -.0375388    .0273609
            state16 |  -.0064028   .0162084    -0.40   0.693    -.0381876    .0253821
            state17 |   .0024987    .016391     0.15   0.879    -.0296441    .0346416
            state18 |   .0021244   .0163231     0.13   0.896    -.0298853    .0341341
            state19 |   .0115495   .0163875     0.70   0.481    -.0205864    .0436855
            state20 |   .0172734   .0162372     1.06   0.288    -.0145678    .0491147
            state21 |  -.0145967   .0164067    -0.89   0.374    -.0467704     .017577
            state22 |   .0004001   .0164372     0.02   0.981    -.0318334    .0326337
            state23 |   .0049142   .0162052     0.30   0.762    -.0268643    .0366926
            state24 |    .012021   .0167249     0.72   0.472    -.0207767    .0448187
            state25 |  -.0041968   .0161265    -0.26   0.795     -.035821    .0274274
            state26 |  -.0212003   .0161351    -1.31   0.189    -.0528414    .0104407
            state27 |   .0018235   .0169077     0.11   0.914    -.0313326    .0349795
            state28 |  -.0095971   .0163155    -0.59   0.556     -.041592    .0223978
            state29 |  -.0050469   .0162258    -0.31   0.756    -.0368658    .0267721
            state30 |  -.0301869   .0163219    -1.85   0.065    -.0621943    .0018205
            state31 |   -.020867   .0178761    -1.17   0.243    -.0559222    .0141882
            state32 |  -.0358902   .0165675    -2.17   0.030    -.0683792   -.0034012
            state33 |  -.0242424   .0166274    -1.46   0.145    -.0568489    .0083641
            state34 |  -.0031255   .0177037    -0.18   0.860    -.0378427    .0315916
            state35 |  -.0363936   .0168965    -2.15   0.031    -.0695277   -.0032594
            state36 |   -.024573   .0167559    -1.47   0.143    -.0574314    .0082854
            state37 |   -.027928   .0166609    -1.68   0.094    -.0606001    .0047441
            state38 |  -.0019984   .0166986    -0.12   0.905    -.0347445    .0307477
            state39 |  -.0054258   .0166306    -0.33   0.744    -.0380386    .0271869
              _cons |    .763459   .0407135    18.75   0.000     .6836196    .8432985
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     66.20
       Model |  168.603321        56   3.0107736   Prob > F        =    0.0000
    Residual |  103.334148     2,272  .045481579   R-squared       =    0.6200
-------------+----------------------------------   Adj R-squared   =    0.6106
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21326

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |  -.1937451   .1634898    -1.19   0.236    -.5143499    .1268597
          iNDEXP_PC |   .0458457   .0118527     3.87   0.000     .0226025    .0690889
         ww1_vol_sh |   .1101734    .022162     4.97   0.000     .0667137    .1536332
ww1_awards_pop10_is |   .1304263   .0514807     2.53   0.011     .0294723    .2313804
             lpop30 |  -.0158445   .0084673    -1.87   0.061     -.032449      .00076
           c30unemp |   .5000542   .1471995     3.40   0.001     .2113947    .7887136
          c30urban1 |   .0169818   .0129962     1.31   0.191    -.0085039    .0424675
            c30farm |  -.0518986   .0445571    -1.16   0.244    -.1392754    .0354782
            iYf_T29 |  -.0192965   .0100354    -1.92   0.055    -.0389759     .000383
           MEAN9628 |   .0001021   .0004791     0.21   0.831    -.0008375    .0010417
             c30men |  -1.393607   .3587847    -3.88   0.000    -2.097187   -.6900268
           c30black |  -.4335254   .0395694   -10.96   0.000    -.5111213   -.3559295
             c30jap |    .774962   1.322743     0.59   0.558    -1.818949    3.368873
             c30deu |  -.6116423   .1545354    -3.96   0.000    -.9146875    -.308597
             c30ita |  -.2707018   .2723394    -0.99   0.320    -.8047618    .2633582
             c30vet |   1.071376   .1879513     5.70   0.000     .7028023     1.43995
           lc40wage |   .2307226   .0287437     8.03   0.000     .1743559    .2870894
      iwarconpro_PC |  -.0376915   .0089016    -4.23   0.000    -.0551476   -.0202353
             state1 |    .190972   .1466308     1.30   0.193    -.0965723    .4785163
             state2 |   .1492141   .1350687     1.10   0.269    -.1156567    .4140849
             state3 |   .2071124   .1388009     1.49   0.136    -.0650775    .4793022
             state4 |   .4007506   .1410924     2.84   0.005     .1240672    .6774341
             state5 |   .1698978    .158847     1.07   0.285    -.1416025    .4813982
             state6 |   .4759482   .1365545     3.49   0.001     .2081636    .7437328
             state7 |          0  (omitted)
             state8 |    .080444   .1337135     0.60   0.547    -.1817693    .3426572
             state9 |   .2062927   .1271539     1.62   0.105    -.0430571    .4556425
            state10 |   -.056389   .1265094    -0.45   0.656    -.3044751    .1916972
            state11 |    .211818   .1260983     1.68   0.093    -.0354619    .4590979
            state12 |   .1056798   .1259165     0.84   0.401    -.1412435     .352603
            state13 |   .1353348   .1267199     1.07   0.286     -.113164    .3838335
            state14 |   .0789387   .1258133     0.63   0.530    -.1677822    .3256595
            state15 |   .3753381   .1289831     2.91   0.004     .1224012     .628275
            state16 |   .0317122   .1263416     0.25   0.802    -.2160447    .2794691
            state17 |   .2787087   .1277608     2.18   0.029     .0281686    .5292487
            state18 |  -.0526623   .1272312    -0.41   0.679    -.3021637    .1968392
            state19 |   .3854078   .1277466     3.02   0.003     .1348956      .63592
            state20 |   .3719797   .1265928     2.94   0.003       .12373    .6202294
            state21 |  -.0070367    .127905    -0.06   0.956    -.2578596    .2437862
            state22 |   .3076878   .1281206     2.40   0.016     .0564421    .5589335
            state23 |   .1758404   .1263144     1.39   0.164    -.0718633     .423544
            state24 |   .2497032   .1303779     1.92   0.056     -.005969    .5053754
            state25 |   .7241694   .1257005     5.76   0.000     .4776697    .9706692
            state26 |   .2249307   .1258133     1.79   0.074    -.0217902    .4716517
            state27 |  -.1041853   .1317877    -0.79   0.429    -.3626221    .1542515
            state28 |   .3301251   .1271817     2.60   0.010     .0807207    .5795295
            state29 |   .1552543   .1264755     1.23   0.220    -.0927653    .4032738
            state30 |   .2374435   .1273173     1.86   0.062    -.0122269    .4871139
            state31 |  -.3562658   .1393777    -2.56   0.011    -.6295867   -.0829448
            state32 |   .1180102   .1292693     0.91   0.361     -.135488    .3715084
            state33 |   .3531669   .1296635     2.72   0.007     .0988958    .6074381
            state34 |  -.0246186   .1379933    -0.18   0.858    -.2952245    .2459874
            state35 |   .2538866   .1318347     1.93   0.054    -.0046423    .5124155
            state36 |  -.0387389   .1306659    -0.30   0.767    -.2949758    .2174981
            state37 |   .2035439   .1299441     1.57   0.117    -.0512775    .4583654
            state38 |   .0382857   .1301582     0.29   0.769    -.2169555     .293527
            state39 |   .2258993    .129631     1.74   0.082    -.0283082    .4801067
              _cons |  -.3094817   .3410069    -0.91   0.364    -.9781992    .3592358
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00132564    .00115644   1.146      .25166646
Goodman-1 (Aroian)  .00132564    .00118263   1.121      .26231894
Goodman-2           .00132564    .00112964   1.174      .24059469

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -.006842   .001514  -4.51971    6.2e-06
b coefficient   = -.193745    .16349  -1.18506    .235994
Indirect effect =  .001326   .001156   1.14631    .251666
  Direct effect =  .045846   .011853   3.86796     .00011
   Total effect =  .047171   .011801   3.99729    .000064

Proportion of total effect that is mediated:  .0281026
Ratio of indirect to direct effect:           .02891519
Ratio of total to direct effect:              1.0289152

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =      9.43
       Model |  7.04814735        55  .128148134   Prob > F        =    0.0000
    Residual |  30.8786078     2,273  .013584957   R-squared       =    0.1858
-------------+----------------------------------   Adj R-squared   =    0.1661
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11655

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0224353   .0064489     3.48   0.001      .009789    .0350817
         ww1_vol_sh |   .0567001   .0121083     4.68   0.000     .0329555    .0804446
ww1_awards_pop10_is |   .0358764   .0281329     1.28   0.202    -.0192925    .0910453
             lpop30 |  -.0175697   .0046131    -3.81   0.000     -.026616   -.0085235
           c30unemp |   .1192512   .0791621     1.51   0.132    -.0359863    .2744887
          c30urban1 |   .0095073   .0071012     1.34   0.181    -.0044182    .0234328
            c30farm |   .0356015   .0233246     1.53   0.127    -.0101383    .0813412
            iYf_T29 |   .0154792   .0054747     2.83   0.005     .0047433    .0262151
           MEAN9628 |    .000081   .0002614     0.31   0.757    -.0004316    .0005936
             c30men |  -.5979399   .1958675    -3.05   0.002    -.9820377   -.2138421
           c30black |  -.0504227   .0215574    -2.34   0.019    -.0926969   -.0081485
             c30jap |   .9391403   .7222218     1.30   0.194    -.4771426    2.355423
             c30deu |   .0958424   .0843989     1.14   0.256    -.0696646    .2613494
             c30ita |  -.0160179   .1487168    -0.11   0.914    -.3076526    .2756169
             c30vet |    .240809   .1026679     2.35   0.019     .0394764    .4421416
           lc40wage |   .0617875   .0153312     4.03   0.000     .0317228    .0918521
      iwarconpro_PC |   .0025517   .0048427     0.53   0.598     -.006945    .0120483
             state1 |   .0535878   .0801375     0.67   0.504    -.1035624     .210738
             state2 |   .0157755   .0737541     0.21   0.831    -.1288569    .1604079
             state3 |   .0432504   .0758554     0.57   0.569    -.1055026    .1920035
             state4 |   .0192653   .0771108     0.25   0.803    -.1319495    .1704801
             state5 |   .1059618   .0868141     1.22   0.222    -.0642813     .276205
             state6 |   .0248246   .0746305     0.33   0.739    -.1215264    .1711755
             state7 |          0  (omitted)
             state8 |   .0095899   .0730755     0.13   0.896    -.1337118    .1528916
             state9 |   .0380621   .0694816     0.55   0.584    -.0981919    .1743161
            state10 |   .0047585   .0690949     0.07   0.945    -.1307371    .1402541
            state11 |   .0072172   .0689113     0.10   0.917    -.1279185    .1423529
            state12 |   -.014991   .0688132    -0.22   0.828    -.1499343    .1199523
            state13 |   .0070784   .0692397     0.10   0.919    -.1287013    .1428581
            state14 |   .0223551   .0687563     0.33   0.745    -.1124765    .1571866
            state15 |  -.0262809   .0704912    -0.37   0.709    -.1645148    .1119529
            state16 |   .0306023   .0690467     0.44   0.658    -.1047987    .1660034
            state17 |   .0238904   .0698243     0.34   0.732    -.1130356    .1608165
            state18 |   .0068075    .069535     0.10   0.922    -.1295512    .1431661
            state19 |   .0545377   .0698093     0.78   0.435    -.0823589    .1914343
            state20 |   .0200035   .0691692     0.29   0.772    -.1156378    .1556448
            state21 |   .0187265   .0698914     0.27   0.789     -.118331     .155784
            state22 |   .0444895   .0700213     0.64   0.525    -.0928229    .1818019
            state23 |   .0147955   .0690328     0.21   0.830    -.1205784    .1501693
            state24 |    .024608   .0712469     0.35   0.730    -.1151078    .1643237
            state25 |   .0580688   .0686977     0.85   0.398    -.0766478    .1927855
            state26 |   .0188097   .0687342     0.27   0.784    -.1159787    .1535981
            state27 |   .0252109   .0720253     0.35   0.726    -.1160313    .1664531
            state28 |   .0358951   .0695029     0.52   0.606    -.1004007    .1721908
            state29 |   .0226336   .0691208     0.33   0.743    -.1129128      .15818
            state30 |   .0186967     .06953     0.27   0.788    -.1176522    .1550456
            state31 |   .0582714   .0761508     0.77   0.444     -.091061    .2076038
            state32 |   .0558803   .0705763     0.79   0.429    -.0825204     .194281
            state33 |   .1650784   .0708314     2.33   0.020     .0261774    .3039794
            state34 |    .038714   .0754165     0.51   0.608    -.1091783    .1866064
            state35 |   .0371889   .0719777     0.52   0.605      -.10396    .1783379
            state36 |   .0558374   .0713786     0.78   0.434    -.0841367    .1958115
            state37 |    .123335    .070974     1.74   0.082    -.0158457    .2625157
            state38 |   .0395715   .0711347     0.56   0.578    -.0999242    .1790672
            state39 |   .0727325   .0708451     1.03   0.305    -.0661954    .2116603
              _cons |  -.0545537   .1734361    -0.31   0.753    -.3946633     .285556
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     40.80
       Model |  1.67984872        55  .030542704   Prob > F        =    0.0000
    Residual |  1.70158815     2,273  .000748609   R-squared       =    0.4968
-------------+----------------------------------   Adj R-squared   =    0.4846
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02736

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0068422   .0015139    -4.52   0.000    -.0098108   -.0038735
         ww1_vol_sh |  -.0033837   .0028424    -1.19   0.234    -.0089577    .0021902
ww1_awards_pop10_is |   .0043343   .0066041     0.66   0.512    -.0086164    .0172849
             lpop30 |  -.0041036   .0010829    -3.79   0.000    -.0062272     -.00198
           c30unemp |  -.1603653    .018583    -8.63   0.000    -.1968067   -.1239239
          c30urban1 |   .0016803    .001667     1.01   0.314    -.0015886    .0049493
            c30farm |   .0783141   .0054754    14.30   0.000     .0675769    .0890513
            iYf_T29 |   .0036869   .0012852     2.87   0.004     .0011667    .0062072
           MEAN9628 |   .0001716   .0000614     2.80   0.005     .0000513    .0002919
             c30men |  -.1034273   .0459791    -2.25   0.025    -.1935927   -.0132618
           c30black |   .0192243   .0050605     3.80   0.000     .0093006     .029148
             c30jap |  -.3540802   .1695387    -2.09   0.037     -.686547   -.0216133
             c30deu |   .0352605   .0198123     1.78   0.075    -.0035916    .0741126
             c30ita |  -.0679833   .0349107    -1.95   0.052    -.1364435    .0004768
             c30vet |   .0367425   .0241009     1.52   0.128    -.0105196    .0840045
           lc40wage |   .0383367   .0035989    10.65   0.000     .0312791    .0453942
      iwarconpro_PC |   .0051988   .0011368     4.57   0.000     .0029695    .0074281
             state1 |   .0019773    .018812     0.11   0.916    -.0349131    .0388677
             state2 |  -.0345357   .0173135    -1.99   0.046    -.0684876   -.0005838
             state3 |  -.0075809   .0178068    -0.43   0.670    -.0425001    .0273383
             state4 |    .000547   .0181014     0.03   0.976    -.0349501    .0360441
             state5 |  -.0008984   .0203793    -0.04   0.965    -.0408623    .0390655
             state6 |   .0019654   .0175192     0.11   0.911    -.0323899    .0363207
             state7 |          0  (omitted)
             state8 |  -.0067084   .0171542    -0.39   0.696    -.0403479    .0269311
             state9 |  -.0140722   .0163105    -0.86   0.388    -.0460573    .0179129
            state10 |  -.0281972   .0162198    -1.74   0.082    -.0600043    .0036099
            state11 |   .0090543   .0161767     0.56   0.576    -.0226683    .0407769
            state12 |  -.0077418   .0161536    -0.48   0.632    -.0394192    .0239356
            state13 |  -.0166801   .0162538    -1.03   0.305    -.0485539    .0151936
            state14 |   -.008347   .0161403    -0.52   0.605    -.0399982    .0233042
            state15 |  -.0050889   .0165475    -0.31   0.758    -.0375388    .0273609
            state16 |  -.0064028   .0162084    -0.40   0.693    -.0381876    .0253821
            state17 |   .0024987    .016391     0.15   0.879    -.0296441    .0346416
            state18 |   .0021244   .0163231     0.13   0.896    -.0298853    .0341341
            state19 |   .0115495   .0163875     0.70   0.481    -.0205864    .0436855
            state20 |   .0172734   .0162372     1.06   0.288    -.0145678    .0491147
            state21 |  -.0145967   .0164067    -0.89   0.374    -.0467704     .017577
            state22 |   .0004001   .0164372     0.02   0.981    -.0318334    .0326337
            state23 |   .0049142   .0162052     0.30   0.762    -.0268643    .0366926
            state24 |    .012021   .0167249     0.72   0.472    -.0207767    .0448187
            state25 |  -.0041968   .0161265    -0.26   0.795     -.035821    .0274274
            state26 |  -.0212003   .0161351    -1.31   0.189    -.0528414    .0104407
            state27 |   .0018235   .0169077     0.11   0.914    -.0313326    .0349795
            state28 |  -.0095971   .0163155    -0.59   0.556     -.041592    .0223978
            state29 |  -.0050469   .0162258    -0.31   0.756    -.0368658    .0267721
            state30 |  -.0301869   .0163219    -1.85   0.065    -.0621943    .0018205
            state31 |   -.020867   .0178761    -1.17   0.243    -.0559222    .0141882
            state32 |  -.0358902   .0165675    -2.17   0.030    -.0683792   -.0034012
            state33 |  -.0242424   .0166274    -1.46   0.145    -.0568489    .0083641
            state34 |  -.0031255   .0177037    -0.18   0.860    -.0378427    .0315916
            state35 |  -.0363936   .0168965    -2.15   0.031    -.0695277   -.0032594
            state36 |   -.024573   .0167559    -1.47   0.143    -.0574314    .0082854
            state37 |   -.027928   .0166609    -1.68   0.094    -.0606001    .0047441
            state38 |  -.0019984   .0166986    -0.12   0.905    -.0347445    .0307477
            state39 |  -.0054258   .0166306    -0.33   0.744    -.0380386    .0271869
              _cons |    .763459   .0407135    18.75   0.000     .6836196    .8432985
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.32
       Model |  7.08675567        56  .126549208   Prob > F        =    0.0000
    Residual |  30.8399995     2,272  .013573943   R-squared       =    0.1869
-------------+----------------------------------   Adj R-squared   =    0.1668
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11651

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   .1506306   .0893153     1.69   0.092    -.0245174    .3257787
          iNDEXP_PC |    .023466   .0064752     3.62   0.000     .0107681    .0361639
         ww1_vol_sh |   .0572098   .0121072     4.73   0.000     .0334675    .0809521
ww1_awards_pop10_is |   .0352235   .0281242     1.25   0.211    -.0199282    .0903753
             lpop30 |  -.0169516   .0046257    -3.66   0.000    -.0260227   -.0078805
           c30unemp |   .1434071   .0804158     1.78   0.075     -.014289    .3011033
          c30urban1 |   .0092542   .0070999     1.30   0.193    -.0046688    .0231772
            c30farm |    .023805   .0243418     0.98   0.328    -.0239294    .0715394
            iYf_T29 |   .0149238   .0054824     2.72   0.007     .0041728    .0256748
           MEAN9628 |   .0000551   .0002618     0.21   0.833    -.0004582    .0005684
             c30men |  -.5823606   .1960059    -2.97   0.003    -.9667298   -.1979913
           c30black |  -.0533185    .021617    -2.47   0.014    -.0957095   -.0109274
             c30jap |   .9924756   .7226213     1.37   0.170     -.424591    2.409542
             c30deu |   .0905311   .0844235     1.07   0.284    -.0750241    .2560862
             c30ita |  -.0057775   .1487804    -0.04   0.969    -.2975372    .2859822
             c30vet |   .2352745   .1026787     2.29   0.022     .0339206    .4366284
           lc40wage |   .0560128   .0157029     3.57   0.000     .0252194    .0868062
      iwarconpro_PC |   .0017686    .004863     0.36   0.716    -.0077678     .011305
             state1 |   .0532899   .0801052     0.67   0.506     -.103797    .2103768
             state2 |   .0209776   .0737887     0.28   0.776    -.1237227    .1656779
             state3 |   .0443923   .0758277     0.59   0.558    -.1043063     .193091
             state4 |   .0191829   .0770795     0.25   0.803    -.1319707    .1703365
             state5 |   .1060972   .0867789     1.22   0.222    -.0640771    .2762714
             state6 |   .0245285   .0746004     0.33   0.742    -.1217636    .1708206
             state7 |          0  (omitted)
             state8 |   .0106004   .0730483     0.15   0.885    -.1326481    .1538488
             state9 |   .0401818   .0694648     0.58   0.563    -.0960393    .1764028
            state10 |   .0090059   .0691128     0.13   0.896    -.1265248    .1445366
            state11 |   .0058533   .0688882     0.08   0.932    -.1292369    .1409436
            state12 |  -.0138248   .0687888    -0.20   0.841    -.1487203    .1210706
            state13 |   .0095909   .0692277     0.14   0.890    -.1261652     .145347
            state14 |   .0236124   .0687324     0.34   0.731    -.1111725    .1583973
            state15 |  -.0255144   .0704641    -0.36   0.717    -.1636951    .1126663
            state16 |   .0315668    .069021     0.46   0.647    -.1037841    .1669176
            state17 |   .0235141   .0697964     0.34   0.736    -.1133572    .1603854
            state18 |   .0064875    .069507     0.09   0.926    -.1298164    .1427914
            state19 |    .052798   .0697886     0.76   0.449    -.0840581    .1896541
            state20 |   .0174016   .0691583     0.25   0.801    -.1182184    .1530217
            state21 |   .0209252   .0698752     0.30   0.765    -.1161007     .157951
            state22 |   .0444292    .069993     0.63   0.526    -.0928276     .181686
            state23 |   .0140553   .0690062     0.20   0.839    -.1212665     .149377
            state24 |   .0227972   .0712261     0.32   0.749    -.1168778    .1624722
            state25 |    .058701   .0686708     0.85   0.393    -.0759631    .1933651
            state26 |   .0220031   .0687324     0.32   0.749    -.1127818     .156788
            state27 |   .0249363   .0719963     0.35   0.729    -.1162491    .1661216
            state28 |   .0373407     .06948     0.54   0.591    -.0989102    .1735916
            state29 |   .0233938   .0690942     0.34   0.735    -.1121005    .1588881
            state30 |   .0232438   .0695541     0.33   0.738    -.1131524      .15964
            state31 |   .0614146   .0761428     0.81   0.420     -.087902    .2107312
            state32 |   .0612865   .0706205     0.87   0.386    -.0772009    .1997738
            state33 |   .1687301   .0708358     2.38   0.017     .0298204    .3076397
            state34 |   .0391848   .0753864     0.52   0.603    -.1086486    .1870183
            state35 |   .0426709    .072022     0.59   0.554    -.0985648    .1839066
            state36 |   .0595389   .0713834     0.83   0.404    -.0804447    .1995224
            state37 |   .1275418   .0709891     1.80   0.073    -.0116685     .266752
            state38 |   .0398725   .0711061     0.56   0.575    -.0995671    .1793121
            state39 |   .0735498   .0708181     1.04   0.299     -.065325    .2124246
              _cons |   -.169554   .1862938    -0.91   0.363    -.5348777    .1957698
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00103064    .00065227   -1.58      .11408744
Goodman-1 (Aroian)  -.00103064    .00066614  -1.547      .1218167
Goodman-2           -.00103064    .0006381  -1.615      .10627437

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -.006842   .001514  -4.51971    6.2e-06
b coefficient   =  .150631   .089315    1.6865    .091699
Indirect effect = -.001031   .000652  -1.58008    .114087
  Direct effect =  .023466   .006475   3.62399     .00029
   Total effect =  .022435   .006449   3.47895    .000503

Proportion of total effect that is mediated:  -.04593824
Ratio of indirect to direct effect:           -.0439206
Ratio of total to direct effect:              .9560794

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     74.15
       Model |  2361.56435        55  42.9375337   Prob > F        =    0.0000
    Residual |  1316.17408     2,273  .579047108   R-squared       =    0.6421
-------------+----------------------------------   Adj R-squared   =    0.6335
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .76095

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .2905177    .042103     6.90   0.000     .2079535     .373082
         ww1_vol_sh |   .4560195   .0790518     5.77   0.000     .3009982    .6110407
ww1_awards_pop10_is |   .5944944   .1836718     3.24   0.001     .2343125    .9546763
             lpop30 |  -.1651172   .0301174    -5.48   0.000    -.2241776   -.1060567
           c30unemp |   1.117586   .5168268     2.16   0.031     .1040847    2.131088
          c30urban1 |   .1773901   .0463617     3.83   0.000     .0864744    .2683058
            c30farm |  -.3136146   .1522798    -2.06   0.040    -.6122365   -.0149928
            iYf_T29 |   .1148773   .0357428     3.21   0.001     .0447854    .1849691
           MEAN9628 |   .0050597   .0017067     2.96   0.003     .0017129    .0084065
             c30men |  -7.136619   1.278763    -5.58   0.000    -9.644284   -4.628953
           c30black |   -1.19932   .1407421    -8.52   0.000    -1.475317   -.9233236
             c30jap |   11.75079   4.715181     2.49   0.013     2.504285     20.9973
             c30deu |   .5113417   .5510167     0.93   0.354    -.5692066     1.59189
             c30ita |  -.6472785   .9709296    -0.67   0.505    -2.551279    1.256722
             c30vet |   3.578578   .6702896     5.34   0.000     2.264135    4.893022
           lc40wage |   1.121407   .1000931    11.20   0.000      .925124    1.317691
      iwarconpro_PC |   .2034959   .0316169     6.44   0.000      .141495    .2654968
             state1 |   .3055505   .5231947     0.58   0.559    -.7204386     1.33154
             state2 |  -.0571539   .4815196    -0.12   0.906    -1.001418      .88711
             state3 |   .1304792   .4952383     0.26   0.792    -.8406872    1.101646
             state4 |   .4294066   .5034342     0.85   0.394    -.5578321    1.416645
             state5 |   .1446135   .5667846     0.26   0.799    -.9668558    1.256083
             state6 |    .675807   .4872412     1.39   0.166    -.2796771    1.631291
             state7 |          0  (omitted)
             state8 |  -.1736677   .4770893    -0.36   0.716    -1.109244    .7619083
             state9 |   .2396733   .4536257     0.53   0.597    -.6498904    1.129237
            state10 |  -.3354928   .4511008    -0.74   0.457    -1.220105    .5491196
            state11 |   .2737623   .4499027     0.61   0.543    -.6085005    1.156025
            state12 |  -.0762644    .449262    -0.17   0.865     -.957271    .8047421
            state13 |   .0202954   .4520467     0.04   0.964    -.8661718    .9067626
            state14 |   -.053523   .4488901    -0.12   0.905    -.9338002    .8267541
            state15 |   .3171286   .4602172     0.69   0.491    -.5853611    1.219618
            state16 |  -.0258771   .4507861    -0.06   0.954    -.9098723     .858118
            state17 |   .3332405   .4558633     0.73   0.465    -.5607112    1.227192
            state18 |  -.6359043   .4539742    -1.40   0.161    -1.526151    .2543427
            state19 |   .5357984   .4557651     1.18   0.240    -.3579607    1.429557
            state20 |   .3381869   .4515858     0.75   0.454    -.5473765     1.22375
            state21 |  -.4300001   .4563008    -0.94   0.346     -1.32481    .4648095
            state22 |   .3347816   .4571495     0.73   0.464    -.5616922    1.231255
            state23 |   .0474246   .4506955     0.11   0.916     -.836393    .9312422
            state24 |  -.1167456   .4651508    -0.25   0.802     -1.02891     .795419
            state25 |   1.376052   .4485075     3.07   0.002     .4965248    2.255579
            state26 |  -.0124937   .4487462    -0.03   0.978    -.8924887    .8675014
            state27 |   -.364611   .4702327    -0.78   0.438    -1.286741    .5575193
            state28 |   .5961082   .4537648     1.31   0.189    -.2937282    1.485945
            state29 |   .0047839   .4512699     0.01   0.992      -.88016    .8897278
            state30 |   .0343317   .4539418     0.08   0.940    -.8558519    .9245153
            state31 |  -.6572543   .4971671    -1.32   0.186    -1.632203    .3176945
            state32 |   .3695115   .4607727     0.80   0.423    -.5340675    1.273091
            state33 |   1.641734   .4624383     3.55   0.000     .7348883    2.548579
            state34 |   -.109373   .4923728    -0.22   0.824     -1.07492    .8561741
            state35 |   .1778902   .4699223     0.38   0.705    -.7436312    1.099412
            state36 |  -.1446803   .4660108    -0.31   0.756    -1.058531    .7691708
            state37 |   .8208114   .4633694     1.77   0.077    -.0878599    1.729483
            state38 |   .5053946   .4644182     1.09   0.277    -.4053332    1.416122
            state39 |   .8244799   .4625277     1.78   0.075    -.0825408      1.7315
              _cons |  -4.908279   1.132315    -4.33   0.000    -7.128759     -2.6878
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     40.80
       Model |  1.67984872        55  .030542704   Prob > F        =    0.0000
    Residual |  1.70158815     2,273  .000748609   R-squared       =    0.4968
-------------+----------------------------------   Adj R-squared   =    0.4846
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02736

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0068422   .0015139    -4.52   0.000    -.0098108   -.0038735
         ww1_vol_sh |  -.0033837   .0028424    -1.19   0.234    -.0089577    .0021902
ww1_awards_pop10_is |   .0043343   .0066041     0.66   0.512    -.0086164    .0172849
             lpop30 |  -.0041036   .0010829    -3.79   0.000    -.0062272     -.00198
           c30unemp |  -.1603653    .018583    -8.63   0.000    -.1968067   -.1239239
          c30urban1 |   .0016803    .001667     1.01   0.314    -.0015886    .0049493
            c30farm |   .0783141   .0054754    14.30   0.000     .0675769    .0890513
            iYf_T29 |   .0036869   .0012852     2.87   0.004     .0011667    .0062072
           MEAN9628 |   .0001716   .0000614     2.80   0.005     .0000513    .0002919
             c30men |  -.1034273   .0459791    -2.25   0.025    -.1935927   -.0132618
           c30black |   .0192243   .0050605     3.80   0.000     .0093006     .029148
             c30jap |  -.3540802   .1695387    -2.09   0.037     -.686547   -.0216133
             c30deu |   .0352605   .0198123     1.78   0.075    -.0035916    .0741126
             c30ita |  -.0679833   .0349107    -1.95   0.052    -.1364435    .0004768
             c30vet |   .0367425   .0241009     1.52   0.128    -.0105196    .0840045
           lc40wage |   .0383367   .0035989    10.65   0.000     .0312791    .0453942
      iwarconpro_PC |   .0051988   .0011368     4.57   0.000     .0029695    .0074281
             state1 |   .0019773    .018812     0.11   0.916    -.0349131    .0388677
             state2 |  -.0345357   .0173135    -1.99   0.046    -.0684876   -.0005838
             state3 |  -.0075809   .0178068    -0.43   0.670    -.0425001    .0273383
             state4 |    .000547   .0181014     0.03   0.976    -.0349501    .0360441
             state5 |  -.0008984   .0203793    -0.04   0.965    -.0408623    .0390655
             state6 |   .0019654   .0175192     0.11   0.911    -.0323899    .0363207
             state7 |          0  (omitted)
             state8 |  -.0067084   .0171542    -0.39   0.696    -.0403479    .0269311
             state9 |  -.0140722   .0163105    -0.86   0.388    -.0460573    .0179129
            state10 |  -.0281972   .0162198    -1.74   0.082    -.0600043    .0036099
            state11 |   .0090543   .0161767     0.56   0.576    -.0226683    .0407769
            state12 |  -.0077418   .0161536    -0.48   0.632    -.0394192    .0239356
            state13 |  -.0166801   .0162538    -1.03   0.305    -.0485539    .0151936
            state14 |   -.008347   .0161403    -0.52   0.605    -.0399982    .0233042
            state15 |  -.0050889   .0165475    -0.31   0.758    -.0375388    .0273609
            state16 |  -.0064028   .0162084    -0.40   0.693    -.0381876    .0253821
            state17 |   .0024987    .016391     0.15   0.879    -.0296441    .0346416
            state18 |   .0021244   .0163231     0.13   0.896    -.0298853    .0341341
            state19 |   .0115495   .0163875     0.70   0.481    -.0205864    .0436855
            state20 |   .0172734   .0162372     1.06   0.288    -.0145678    .0491147
            state21 |  -.0145967   .0164067    -0.89   0.374    -.0467704     .017577
            state22 |   .0004001   .0164372     0.02   0.981    -.0318334    .0326337
            state23 |   .0049142   .0162052     0.30   0.762    -.0268643    .0366926
            state24 |    .012021   .0167249     0.72   0.472    -.0207767    .0448187
            state25 |  -.0041968   .0161265    -0.26   0.795     -.035821    .0274274
            state26 |  -.0212003   .0161351    -1.31   0.189    -.0528414    .0104407
            state27 |   .0018235   .0169077     0.11   0.914    -.0313326    .0349795
            state28 |  -.0095971   .0163155    -0.59   0.556     -.041592    .0223978
            state29 |  -.0050469   .0162258    -0.31   0.756    -.0368658    .0267721
            state30 |  -.0301869   .0163219    -1.85   0.065    -.0621943    .0018205
            state31 |   -.020867   .0178761    -1.17   0.243    -.0559222    .0141882
            state32 |  -.0358902   .0165675    -2.17   0.030    -.0683792   -.0034012
            state33 |  -.0242424   .0166274    -1.46   0.145    -.0568489    .0083641
            state34 |  -.0031255   .0177037    -0.18   0.860    -.0378427    .0315916
            state35 |  -.0363936   .0168965    -2.15   0.031    -.0695277   -.0032594
            state36 |   -.024573   .0167559    -1.47   0.143    -.0574314    .0082854
            state37 |   -.027928   .0166609    -1.68   0.094    -.0606001    .0047441
            state38 |  -.0019984   .0166986    -0.12   0.905    -.0347445    .0307477
            state39 |  -.0054258   .0166306    -0.33   0.744    -.0380386    .0271869
              _cons |    .763459   .0407135    18.75   0.000     .6836196    .8432985
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     73.38
       Model |  2368.33209        56  42.2916445   Prob > F        =    0.0000
    Residual |  1309.40634     2,272  .576323213   R-squared       =    0.6440
-------------+----------------------------------   Adj R-squared   =    0.6352
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .75916

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   1.994318    .581977     3.43   0.001     .8530565     3.13558
          iNDEXP_PC |   .3041632   .0421922     7.21   0.000      .221424    .3869024
         ww1_vol_sh |   .4627677   .0788903     5.87   0.000     .3080632    .6174722
ww1_awards_pop10_is |   .5858505   .1832566     3.20   0.001     .2264826    .9452183
             lpop30 |  -.1569333   .0301412    -5.21   0.000    -.2160405   -.0978261
           c30unemp |   1.437406   .5239883     2.74   0.006     .4098602    2.464951
          c30urban1 |    .174039   .0462629     3.76   0.000     .0833171    .2647609
            c30farm |  -.4697978   .1586105    -2.96   0.003    -.7808345   -.1587612
            iYf_T29 |   .1075243   .0357231     3.01   0.003      .037471    .1775777
           MEAN9628 |   .0047175   .0017056     2.77   0.006     .0013728    .0080621
             c30men |  -6.930352   1.277171    -5.43   0.000    -9.434896   -4.425808
           c30black |   -1.23766   .1408557    -8.79   0.000    -1.513879   -.9614402
             c30jap |   12.45694   4.708589     2.65   0.008     3.223359    21.69053
             c30deu |    .441021    .550102     0.80   0.423    -.6377339    1.519776
             c30ita |  -.5116981   .9694509    -0.53   0.598      -2.4128    1.389404
             c30vet |   3.505302    .669053     5.24   0.000     2.193284    4.817321
           lc40wage |   1.044952   .1023195    10.21   0.000     .8443024    1.245601
      iwarconpro_PC |   .1931279   .0316872     6.09   0.000      .130989    .2552667
             state1 |   .3016072   .5219639     0.58   0.563    -.7219686    1.325183
             state2 |   .0117214    .480806     0.02   0.981    -.9311434    .9545861
             state3 |   .1455978   .4940918     0.29   0.768    -.8233205    1.114516
             state4 |   .4283157   .5022488     0.85   0.394    -.5565986     1.41323
             state5 |   .1464053   .5654502     0.26   0.796    -.9624475    1.255258
             state6 |   .6718874   .4860952     1.38   0.167    -.2813496    1.625124
             state7 |          0  (omitted)
             state8 |   -.160289   .4759818    -0.34   0.736    -1.093694    .7731155
             state9 |   .2677378   .4526315     0.59   0.554    -.6198766    1.155352
            state10 |  -.2792586   .4503376    -0.62   0.535    -1.162375    .6038574
            state11 |   .2557051   .4488742     0.57   0.569     -.624541    1.135951
            state12 |  -.0608248   .4482268    -0.14   0.892    -.9398014    .8181518
            state13 |   .0535609   .4510867     0.12   0.905    -.8310239    .9381458
            state14 |  -.0368765   .4478594    -0.08   0.934    -.9151326    .8413797
            state15 |   .3272776    .459143     0.71   0.476    -.5731058    1.227661
            state16 |   -.013108     .44974    -0.03   0.977    -.8950519     .868836
            state17 |   .3282572   .4547921     0.72   0.471    -.5635941    1.220108
            state18 |  -.6401411   .4529068    -1.41   0.158    -1.528295    .2480131
            state19 |    .512765   .4547415     1.13   0.260    -.3789871    1.404517
            state20 |   .3037382   .4506345     0.67   0.500      -.57996    1.187436
            state21 |  -.4008897   .4553056    -0.88   0.379    -1.293748    .4919685
            state22 |   .3339836    .456073     0.73   0.464    -.5603795    1.228347
            state23 |   .0376242   .4496433     0.08   0.933    -.8441302    .9193786
            state24 |  -.1407193   .4641082    -0.30   0.762     -1.05084    .7694009
            state25 |   1.384422    .447458     3.09   0.002     .5069525    2.261891
            state26 |   .0297866   .4478595     0.07   0.947    -.8484698    .9080429
            state27 |  -.3682476   .4691266    -0.78   0.433    -1.288209    .5517138
            state28 |   .6152479   .4527307     1.36   0.174     -.272561    1.503057
            state29 |   .0148489   .4502168     0.03   0.974    -.8680301     .897728
            state30 |    .094534   .4532135     0.21   0.835    -.7942216    .9832895
            state31 |  -.6156388    .496145    -1.24   0.215    -1.588583    .3573059
            state32 |    .441088   .4601619     0.96   0.338    -.4612935     1.34347
            state33 |   1.690081    .461565     3.66   0.000     .7849477    2.595214
            state34 |  -.1031397   .4912167    -0.21   0.834     -1.06642    .8601406
            state35 |   .2504706   .4692939     0.53   0.594    -.6698188     1.17076
            state36 |  -.0956738   .4651334    -0.21   0.837    -1.007804    .8164567
            state37 |   .8765087   .4625639     1.89   0.058    -.0305831    1.783601
            state38 |   .5093801    .463326     1.10   0.272    -.3992062    1.417966
            state39 |   .8353007   .4614493     1.81   0.070    -.0696054    1.740207
              _cons |   -6.43086   1.213888    -5.30   0.000    -8.811303   -4.050416
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.01364546    .00499712  -2.731      .00632064
Goodman-1 (Aroian)  -.01364546    .00507419  -2.689      .00716255
Goodman-2           -.01364546    .00491884  -2.774      .00553508

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -.006842   .001514  -4.51971    6.2e-06
b coefficient   =  1.99432   .581977    3.4268    .000611
Indirect effect = -.013645   .004997  -2.73067    .006321
  Direct effect =  .304163   .042192     7.209    5.6e-13
   Total effect =  .290518   .042103   6.90017    5.2e-12

Proportion of total effect that is mediated:  -.04696946
Ratio of indirect to direct effect:           -.0448623
Ratio of total to direct effect:              .9551377

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     85.80
       Model |  897.782918        64  14.0278581   Prob > F        =    0.0000
    Residual |  483.469001     2,957  .163499831   R-squared       =    0.6500
-------------+----------------------------------   Adj R-squared   =    0.6424
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .40435

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1913998   .0197042     9.71   0.000     .1527645    .2300352
         ww1_vol_sh |  -.0037429    .035541    -0.11   0.916    -.0734304    .0659447
ww1_awards_pop10_is |   .2400123   .0854461     2.81   0.005     .0724724    .4075521
             lpop30 |  -.0296454   .0143736    -2.06   0.039    -.0578285   -.0014622
           c30unemp |  -.7161748   .2507092    -2.86   0.004    -1.207757   -.2245925
          c30urban1 |   .0752111   .0216018     3.48   0.001     .0328549    .1175672
            c30farm |  -.4194219   .0742745    -5.65   0.000    -.5650568    -.273787
            iYf_T29 |   .0884241   .0169226     5.23   0.000     .0552429    .1216053
           MEAN9628 |   .0034886   .0008446     4.13   0.000     .0018325    .0051446
             c30men |  -1.707234   .6124857    -2.79   0.005    -2.908176   -.5062927
           c30black |  -.2844474   .0735073    -3.87   0.000     -.428578   -.1403168
             c30jap |   6.097407    2.37608     2.57   0.010     1.438469    10.75634
             c30deu |   .9365989   .2035567     4.60   0.000     .5374717    1.335726
             c30ita |  -.3709609   .4830201    -0.77   0.443    -1.318051    .5761288
             c30vet |  -.0730453    .301395    -0.24   0.809    -.6640104    .5179199
           lc40wage |   .5192187   .0488098    10.64   0.000     .4235142    .6149233
      iwarconpro_PC |   .2594412   .0153904    16.86   0.000     .2292642    .2896181
             state1 |   .3589533   .2313472     1.55   0.121    -.0946644    .8125711
             state2 |   .1614177   .2154773     0.75   0.454     -.261083    .5839183
             state3 |   .1188378   .2187754     0.54   0.587    -.3101298    .5478053
             state4 |   .2513451   .2288245     1.10   0.272    -.1973264    .7000166
             state5 |          0  (omitted)
             state6 |   .3154862    .217912     1.45   0.148    -.1117884    .7427607
             state7 |     .54979   .3004255     1.83   0.067    -.0392743    1.138854
             state8 |   .2178129    .202906     1.07   0.283    -.1800384    .6156641
             state9 |   .2886939   .1920018     1.50   0.133    -.0877769    .6651647
            state10 |    .254999   .1932773     1.32   0.187    -.1239727    .6339707
            state11 |   .4592377   .1940763     2.37   0.018     .0786994     .839776
            state12 |    .385427   .1949983     1.98   0.048     .0030808    .7677732
            state13 |   .2906269   .1961277     1.48   0.138    -.0939336    .6751875
            state14 |   .2706141    .194694     1.39   0.165    -.1111353    .6523636
            state15 |   .3786711   .1992504     1.90   0.057    -.0120125    .7693546
            state16 |   .9677728   .1959187     4.94   0.000      .583622    1.351924
            state17 |    .835652   .1956125     4.27   0.000     .4521016    1.219202
            state18 |   .7160097   .1985752     3.61   0.000     .3266501    1.105369
            state19 |   .3398656   .1949993     1.74   0.081    -.0424825    .7222136
            state20 |   .9447072   .1970493     4.79   0.000     .5583395    1.331075
            state21 |   1.057719   .2021897     5.23   0.000     .6612718    1.454165
            state22 |   .7483223   .2002247     3.74   0.000     .3557284    1.140916
            state23 |   .3767814   .1968831     1.91   0.056    -.0092603    .7628231
            state24 |    .324361   .2005447     1.62   0.106    -.0688604    .7175825
            state25 |  -.0602583    .198237    -0.30   0.761    -.4489548    .3284382
            state26 |   .2531762   .1986159     1.27   0.203    -.1362631    .6426156
            state27 |   .2040181   .1966425     1.04   0.300    -.1815519    .5895881
            state28 |    .062288   .1993557     0.31   0.755    -.3286019     .453178
            state29 |   .2107447   .2011984     1.05   0.295    -.1837583    .6052477
            state30 |   .2494432   .1964203     1.27   0.204    -.1356912    .6345777
            state31 |  -.0783286   .2065651    -0.38   0.705    -.4833546    .3266973
            state32 |   .5092016   .1951194     2.61   0.009     .1266181    .8917852
            state33 |   .0132043    .194856     0.07   0.946    -.3688628    .3952714
            state34 |   .2612692   .2092721     1.25   0.212    -.1490646     .671603
            state35 |   .4282897   .1978216     2.17   0.030     .0404078    .8161716
            state36 |   .1768212   .1962746     0.90   0.368    -.2080274    .5616697
            state37 |   .0551394   .1975526     0.28   0.780    -.3322151    .4424939
            state38 |   .1989612    .226134     0.88   0.379    -.2444348    .6423571
            state39 |   .3773114   .1969426     1.92   0.055     -.008847    .7634698
            state40 |   .5044126   .2010322     2.51   0.012     .1102355    .8985898
            state41 |   .9409373   .2025271     4.65   0.000     .5438289    1.338046
            state42 |    .312563   .2171271     1.44   0.150    -.1131726    .7382985
            state43 |   .0805472   .2081126     0.39   0.699     -.327513    .4886074
            state44 |   .2191868   .2041675     1.07   0.283     -.181138    .6195117
            state45 |   .7828907   .2121724     3.69   0.000       .36687    1.198911
            state46 |   .5494371    .200007     2.75   0.006     .1572701    .9416042
            state47 |   .9308496    .204531     4.55   0.000      .529812    1.331887
            state48 |   .7349725   .2028534     3.62   0.000     .3372244    1.132721
              _cons |   .7027121   .5278525     1.33   0.183    -.3322834    1.737708
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =   1594.04
       Model |   134573844        64  2102716.32   Prob > F        =    0.0000
    Residual |  3900607.79     2,957  1319.10984   R-squared       =    0.9718
-------------+----------------------------------   Adj R-squared   =    0.9712
       Total |   138474452     3,021  45837.2897   Root MSE        =     36.32

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -6.108318   1.769868    -3.45   0.001    -9.578617   -2.638019
         ww1_vol_sh |  -11.39814   3.192354    -3.57   0.000     -17.6576   -5.138675
ww1_awards_pop10_is |    3.92971   7.674923     0.51   0.609    -11.11902    18.97844
             lpop30 |   10.15582   1.291059     7.87   0.000     7.624356    12.68728
           c30unemp |  -74.85586   22.51916    -3.32   0.001    -119.0107   -30.70104
          c30urban1 |  -18.83029   1.940315    -9.70   0.000     -22.6348   -15.02579
            c30farm |  -21.20798   6.671468    -3.18   0.001    -34.28918   -8.126793
            iYf_T29 |  -4.311045   1.520015    -2.84   0.005     -7.29144    -1.33065
           MEAN9628 |   .1259802   .0758633     1.66   0.097      -.02277    .2747304
             c30men |  -108.5043   55.01458    -1.97   0.049     -216.375   -.6335492
           c30black |    36.4825   6.602555     5.53   0.000     23.53643    49.42857
             c30jap |  -87.40766   213.4238    -0.41   0.682    -505.8819    331.0666
             c30deu |  -6.752174   18.28383    -0.37   0.712     -42.6025    29.09815
             c30ita |    298.275   43.38574     6.87   0.000     213.2057    383.3443
             c30vet |    220.859   27.07184     8.16   0.000     167.7774    273.9406
           lc40wage |   603.5135   4.384182   137.66   0.000     594.9172    612.1099
      iwarconpro_PC |   11.88538   1.382392     8.60   0.000      9.17483    14.59593
             state1 |   18.29853   20.78002     0.88   0.379    -22.44625     59.0433
             state2 |    10.3416   19.35456     0.53   0.593    -27.60818    48.29137
             state3 |   44.80977   19.65081     2.28   0.023     6.279124    83.34041
             state4 |   22.33008   20.55344     1.09   0.277    -17.97041    62.63057
             state5 |          0  (omitted)
             state6 |   25.13613   19.57325     1.28   0.199    -13.24245     63.5147
             state7 |   42.87856   26.98477     1.59   0.112    -10.03226    95.78939
             state8 |   50.95809   18.22538     2.80   0.005     15.22237    86.69382
             state9 |   35.74132   17.24595     2.07   0.038     1.926035    69.55661
            state10 |   17.95498   17.36052     1.03   0.301    -16.08495     51.9949
            state11 |   29.30796   17.43229     1.68   0.093    -4.872679     63.4886
            state12 |   28.36721    17.5151     1.62   0.105    -5.975819    62.71024
            state13 |   37.00377   17.61654     2.10   0.036     2.461836    71.54569
            state14 |   38.37218   17.48777     2.19   0.028     4.082753    72.66161
            state15 |   31.44914   17.89703     1.76   0.079    -3.642766    66.54105
            state16 |   22.84642   17.59777     1.30   0.194     -11.6587    57.35154
            state17 |   22.53096   17.57027     1.28   0.200    -11.92024    56.98216
            state18 |    24.7417   17.83638     1.39   0.166    -10.23129    59.71468
            state19 |    25.2314   17.51519     1.44   0.150    -9.111794     59.5746
            state20 |    24.5018   17.69932     1.38   0.166    -10.20244    59.20604
            state21 |    33.2299   18.16104     1.83   0.067    -2.379664    68.83947
            state22 |   29.58813   17.98455     1.65   0.100    -5.675374    64.85163
            state23 |   7.616366   17.68439     0.43   0.667     -27.0586    42.29133
            state24 |   19.29447   18.01329     1.07   0.284    -16.02539    54.61433
            state25 |   32.82396   17.80601     1.84   0.065    -2.089469    67.73738
            state26 |   .9558024   17.84004     0.05   0.957    -34.02435    35.93595
            state27 |   48.41068   17.66279     2.74   0.006     13.77808    83.04328
            state28 |  -6.322022   17.90649    -0.35   0.724    -41.43247    28.78842
            state29 |   11.59408     18.072     0.64   0.521     -23.8409    47.02905
            state30 |   6.135589   17.64283     0.35   0.728    -28.45788    40.72906
            state31 |   6.629182   18.55405     0.36   0.721    -29.75099    43.00935
            state32 |   19.57656   17.52598     1.12   0.264    -14.78779    53.94091
            state33 |   36.67341   17.50232     2.10   0.036     2.355452    70.99138
            state34 |   37.96108    18.7972     2.02   0.044     1.104151    74.81801
            state35 |   16.74889   17.76869     0.94   0.346    -18.09137    51.58915
            state36 |   32.12092   17.62974     1.82   0.069    -2.446883    66.68871
            state37 |   16.84373   17.74453     0.95   0.343    -17.94916    51.63661
            state38 |    53.3024   20.31176     2.62   0.009     13.47577    93.12903
            state39 |   27.45975   17.68974     1.55   0.121    -7.225697     62.1452
            state40 |   32.56134   18.05707     1.80   0.071    -2.844371    67.96705
            state41 |   43.84114   18.19135     2.41   0.016     8.172144    79.51014
            state42 |   117.9142   19.50275     6.05   0.000     79.67388    156.1546
            state43 |   20.36848   18.69305     1.09   0.276    -16.28423    57.02119
            state44 |   35.45167    18.3387     1.93   0.053    -.5062326    71.40958
            state45 |   40.41644   19.05771     2.12   0.034     3.048715    77.78417
            state46 |   66.52704   17.96499     3.70   0.000     31.30188    101.7522
            state47 |   49.03903   18.37135     2.67   0.008     13.01711    85.06096
            state48 |    54.8111   18.22066     3.01   0.003     19.08464    90.53756
              _cons |   -3263.08   47.41267   -68.82   0.000    -3356.045   -3170.115
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     88.24
       Model |  911.480799        65  14.0227815   Prob > F        =    0.0000
    Residual |  469.771119     2,956  .158921218   R-squared       =    0.6599
-------------+----------------------------------   Adj R-squared   =    0.6524
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .39865

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |   -.001874   .0002018    -9.28   0.000    -.0022697   -.0014782
          iNDEXP_PC |   .1799531   .0194654     9.24   0.000     .1417859    .2181203
         ww1_vol_sh |  -.0251025   .0351152    -0.71   0.475    -.0939553    .0437503
ww1_awards_pop10_is |   .2473764   .0842449     2.94   0.003     .0821918     .412561
             lpop30 |  -.0106138   .0143184    -0.74   0.459    -.0386887    .0174612
           c30unemp |  -.8564518   .2476353    -3.46   0.001    -1.342007   -.3708967
          c30urban1 |   .0399238   .0216337     1.85   0.065    -.0024948    .0823425
            c30farm |  -.4591649   .0733521    -6.26   0.000    -.6029913   -.3153384
            iYf_T29 |   .0803454   .0167066     4.81   0.000     .0475876    .1131031
           MEAN9628 |   .0037247   .0008331     4.47   0.000     .0020912    .0053581
             c30men |  -1.910567   .6042459    -3.16   0.002    -3.095352   -.7257817
           c30black |  -.2160806   .0728439    -2.97   0.003    -.3589105   -.0732508
             c30jap |   5.933609    2.34264     2.53   0.011     1.340237    10.52698
             c30deu |   .9239456   .2006909     4.60   0.000     .5304375    1.317454
             c30ita |   .1879948   .4799997     0.39   0.695    -.7531727    1.129162
             c30vet |   .3408359   .3004704     1.13   0.257    -.2483165    .9299883
           lc40wage |    1.65018   .1309783    12.60   0.000     1.393362    1.906998
      iwarconpro_PC |   .2817139   .0153618    18.34   0.000     .2515929    .3118349
             state1 |   .3932441   .2281148     1.72   0.085    -.0540358    .8405239
             state2 |   .1807974    .212449     0.85   0.395    -.2357656    .5973604
             state3 |   .2028095     .21588     0.94   0.348    -.2204808    .6260998
             state4 |   .2931908   .2256428     1.30   0.194    -.1492422    .7356238
             state5 |          0  (omitted)
             state6 |   .3625903    .214899     1.69   0.092    -.0587766    .7839572
             state7 |   .6301428   .2963156     2.13   0.034      .049137    1.211149
             state8 |   .3133063    .200309     1.56   0.118    -.0794529    .7060656
             state9 |   .3556718   .1894318     1.88   0.061    -.0157598    .7271033
            state10 |   .2886459   .1905863     1.51   0.130    -.0850494    .6623412
            state11 |   .5141597    .191431     2.69   0.007     .1388081    .8895112
            state12 |   .4385861   .1923339     2.28   0.023     .0614642    .8157079
            state13 |   .3599706   .1935062     1.86   0.063      -.01945    .7393911
            state14 |   .3425221   .1921047     1.78   0.075    -.0341505    .7191947
            state15 |   .4376055   .1965433     2.23   0.026       .05223    .8229811
            state16 |   1.010586    .193211     5.23   0.000     .6317444    1.389428
            state17 |   .8778742   .1929077     4.55   0.000     .4996271    1.256121
            state18 |   .7623747   .1958387     3.89   0.000     .3783806    1.146369
            state19 |   .3871482    .192317     2.01   0.044     .0100595     .764237
            state20 |   .9906226   .1943336     5.10   0.000     .6095798    1.371665
            state21 |    1.11999   .1994514     5.62   0.000     .7289125    1.511068
            state22 |   .8037693   .1974916     4.07   0.000     .4165343    1.191004
            state23 |   .3910542   .1941128     2.01   0.044     .0104442    .7716642
            state24 |   .3605181   .1977551     1.82   0.068    -.0272336    .7482699
            state25 |   .0012525   .1955539     0.01   0.995    -.3821831     .384688
            state26 |   .2549674   .1958152     1.30   0.193    -.1289806    .6389154
            state27 |   .2947378   .1941157     1.52   0.129    -.0858778    .6753534
            state28 |   .0504408   .1965486     0.26   0.797    -.3349453    .4358269
            state29 |   .2324716    .198375     1.17   0.241    -.1564956    .6214387
            state30 |   .2609411   .1936545     1.35   0.178    -.1187702    .6406524
            state31 |  -.0659058   .2036567    -0.32   0.746    -.4652291    .3334174
            state32 |   .5458873   .1924085     2.84   0.005     .1686191    .9231556
            state33 |   .0819289   .1922508     0.43   0.670    -.2950302    .4588879
            state34 |   .3324068   .2064634     1.61   0.108    -.0724197    .7372333
            state35 |   .4596765   .1950613     2.36   0.019     .0772067    .8421463
            state36 |   .2370145   .1936154     1.22   0.221    -.1426202    .6166492
            state37 |   .0867039   .1947965     0.45   0.656    -.2952466    .4686544
            state38 |   .2988478   .2232047     1.34   0.181    -.1388045       .7365
            state39 |   .4287699   .1942445     2.21   0.027     .0479017    .8096381
            state40 |   .5654313   .1983063     2.85   0.004     .1765989    .9542637
            state41 |   1.023094   .1998672     5.12   0.000     .6312009    1.414987
            state42 |   .5335296   .2153844     2.48   0.013     .1112111    .9558481
            state43 |   .1187169   .2052191     0.58   0.563    -.2836699    .5211038
            state44 |   .2856219   .2014156     1.42   0.156    -.1093073     .680551
            state45 |   .8586295   .2093395     4.10   0.000     .4481635    1.269096
            state46 |   .6741062   .1976434     3.41   0.001     .2865737    1.061639
            state47 |   1.022747   .2018897     5.07   0.000     .6268882    1.418605
            state48 |   .8376864   .2002987     4.18   0.000     .4449474    1.230425
              _cons |  -5.412173    .839429    -6.45   0.000    -7.058097   -3.766248
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .01144675    .00353842   3.235      .00121648
Goodman-1 (Aroian)  .01144675    .00355641   3.219      .00128807
Goodman-2           .01144675    .00352034   3.252      .00114757

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -6.10832   1.76987  -3.45128    .000558
b coefficient   = -.001874   .000202  -9.28401          0
Indirect effect =  .011447   .003538   3.23499    .001216
  Direct effect =  .179953   .019465   9.24474          0
   Total effect =    .1914   .019704   9.71365          0

Proportion of total effect that is mediated:  .05980544
Ratio of indirect to direct effect:           .06360964
Ratio of total to direct effect:              1.0636096

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     67.36
       Model |  168.539449        55  3.06435361   Prob > F        =    0.0000
    Residual |  103.398021     2,273   .04548967   R-squared       =    0.6198
-------------+----------------------------------   Adj R-squared   =    0.6106
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21328

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0471713   .0118008     4.00   0.000     .0240298    .0703128
         ww1_vol_sh |    .110829    .022157     5.00   0.000     .0673789    .1542791
ww1_awards_pop10_is |   .1295866   .0514804     2.52   0.012     .0286331    .2305401
             lpop30 |  -.0150495   .0084414    -1.78   0.075    -.0316032    .0015043
           c30unemp |   .5311241   .1448587     3.67   0.000     .2470551    .8151932
          c30urban1 |   .0166562   .0129945     1.28   0.200    -.0088261    .0421385
            c30farm |  -.0670716   .0426817    -1.57   0.116    -.1507707    .0166276
            iYf_T29 |  -.0200108   .0100182    -2.00   0.046    -.0396565   -.0003651
           MEAN9628 |   .0000689   .0004784     0.14   0.886    -.0008692    .0010069
             c30men |  -1.373568   .3584179    -3.83   0.000    -2.076429   -.6707078
           c30black |  -.4372501   .0394479   -11.08   0.000    -.5146076   -.3598925
             c30jap |   .8435633   1.321593     0.64   0.523    -1.748092    3.435219
             c30deu |  -.6184738   .1544416    -4.00   0.000     -.921335   -.3156127
             c30ita |  -.2575304   .2721367    -0.95   0.344    -.7911928     .276132
             c30vet |   1.064258    .187872     5.66   0.000     .6958393    1.432676
           lc40wage |   .2232951   .0280546     7.96   0.000     .1682799    .2783104
      iwarconpro_PC |  -.0386987   .0088617    -4.37   0.000    -.0560766   -.0213208
             state1 |   .1905889   .1466435     1.30   0.194    -.0969802     .478158
             state2 |   .1559052   .1349626     1.16   0.248    -.1087575     .420568
             state3 |   .2085811   .1388077     1.50   0.133     -.063622    .4807842
             state4 |   .4006447   .1411049     2.84   0.005     .1239367    .6773526
             state5 |   .1700719   .1588611     1.07   0.284     -.141456    .4815998
             state6 |   .4755674   .1365663     3.48   0.001     .2077598     .743375
             state7 |          0  (omitted)
             state8 |   .0817437   .1337208     0.61   0.541     -.180484    .3439714
             state9 |   .2090191   .1271443     1.64   0.100     -.040312    .4583502
            state10 |  -.0509259   .1264367    -0.40   0.687    -.2988692    .1970174
            state11 |   .2100637   .1261008     1.67   0.096    -.0372211    .4573485
            state12 |   .1071797   .1259213     0.85   0.395     -.139753    .3541124
            state13 |   .1385665   .1267018     1.09   0.274    -.1098968    .3870297
            state14 |   .0805558    .125817     0.64   0.522    -.1661724    .3272841
            state15 |   .3763241   .1289918     2.92   0.004       .12337    .6292782
            state16 |   .0329527   .1263485     0.26   0.794    -.2148176    .2807231
            state17 |   .2782245   .1277715     2.18   0.030     .0276635    .5287855
            state18 |  -.0530738    .127242    -0.42   0.677    -.3025965    .1964488
            state19 |   .3831701    .127744     3.00   0.003     .1326631    .6336772
            state20 |   .3686331   .1265726     2.91   0.004     .1204232     .616843
            state21 |  -.0042087   .1278942    -0.03   0.974    -.2550102    .2465928
            state22 |   .3076103    .128132     2.40   0.016     .0563424    .5588782
            state23 |   .1748883   .1263231     1.38   0.166    -.0728323    .4226088
            state24 |   .2473742   .1303747     1.90   0.058    -.0082916      .50304
            state25 |   .7249826   .1257098     5.77   0.000     .4784646    .9715005
            state26 |   .2290382   .1257767     1.82   0.069     -.017611    .4756873
            state27 |  -.1045386   .1317991    -0.79   0.428    -.3629977    .1539204
            state28 |   .3319845   .1271833     2.61   0.009     .0825769    .5813921
            state29 |   .1562321   .1264841     1.24   0.217    -.0918042    .4042683
            state30 |   .2432921    .127233     1.91   0.056    -.0062128    .4927969
            state31 |  -.3522229   .1393484    -2.53   0.012    -.6254861   -.0789596
            state32 |   .1249638   .1291475     0.97   0.333    -.1282956    .3782232
            state33 |   .3578638   .1296144     2.76   0.006     .1036889    .6120387
            state34 |   -.024013   .1380046    -0.17   0.862    -.2946411    .2466151
            state35 |   .2609377    .131712     1.98   0.048     .0026493    .5192261
            state36 |   -.033978   .1306157    -0.26   0.795    -.2901165    .2221605
            state37 |   .2089549   .1298754     1.61   0.108    -.0457318    .4636415
            state38 |   .0386729   .1301693     0.30   0.766    -.2165902     .293936
            state39 |   .2269505   .1296395     1.75   0.080    -.0272735    .4811745
              _cons |  -.4573981   .3173707    -1.44   0.150    -1.079765    .1649684
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1395.13
       Model |   115595243        55  2101731.69   Prob > F        =    0.0000
    Residual |  3424222.84     2,273  1506.47727   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.813

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -4.383161    2.14752    -2.04   0.041    -8.594465    -.171857
         ww1_vol_sh |  -15.09276   4.032146    -3.74   0.000    -22.99983   -7.185689
ww1_awards_pop10_is |   2.284969    9.36843     0.24   0.807     -16.0866    20.65654
             lpop30 |   11.36632   1.536178     7.40   0.000     8.353858    14.37877
           c30unemp |  -76.69274   26.36145    -2.91   0.004    -128.3878   -24.99771
          c30urban1 |  -21.56912   2.364743    -9.12   0.000     -26.2064   -16.93184
            c30farm |  -10.90296   7.767236    -1.40   0.161    -26.13457    4.328653
            iYf_T29 |  -4.084432   1.823109    -2.24   0.025    -7.659564   -.5093012
           MEAN9628 |   .1427831   .0870509     1.64   0.101    -.0279246    .3134907
             c30men |  -83.20593   65.22507    -1.28   0.202    -211.1128    44.70096
           c30black |   33.80044   7.178743     4.71   0.000     19.72287    47.87802
             c30jap |  -115.9304   240.5042    -0.48   0.630    -587.5612    355.7004
             c30deu |   68.05125   28.10536     2.42   0.016     12.93641    123.1661
             c30ita |   320.2306   49.52358     6.47   0.000     223.1144    417.3468
             c30vet |   281.3055   34.18903     8.23   0.000     214.2606    348.3505
           lc40wage |   596.6798   5.105386   116.87   0.000     586.6681    606.6915
      iwarconpro_PC |   12.56731   1.612661     7.79   0.000     9.404863    15.72975
             state1 |  -30.08212   26.68626    -1.13   0.260    -82.41409    22.24985
             state2 |  -32.38846   24.56056    -1.32   0.187    -80.55193    15.77501
             state3 |  -1.238114    25.2603    -0.05   0.961    -50.77378    48.29755
             state4 |  -18.34012   25.67835    -0.71   0.475    -68.69557    32.01533
             state5 |  -45.82434   28.90962    -1.59   0.113    -102.5163    10.86767
             state6 |  -17.73872    24.8524    -0.71   0.475    -66.47449    30.99704
             state7 |          0  (omitted)
             state8 |   1.270456   24.33459     0.05   0.958    -46.44987    48.99078
             state9 |  -11.64718   23.13779    -0.50   0.615    -57.02058    33.72622
            state10 |  -28.37733   23.00901    -1.23   0.218    -73.49819    16.74352
            state11 |  -22.89817    22.9479    -1.00   0.318    -67.89918    22.10285
            state12 |   -20.3995   22.91522    -0.89   0.373    -65.33644    24.53744
            state13 |  -14.08892   23.05726    -0.61   0.541    -59.30439    31.12654
            state14 |  -9.739452   22.89625    -0.43   0.671    -54.63919    35.16028
            state15 |  -28.05224     23.474    -1.20   0.232    -74.08495    17.98047
            state16 |  -39.37688   22.99296    -1.71   0.087    -84.46626    5.712498
            state17 |  -30.65647   23.25193    -1.32   0.187    -76.25369    14.94075
            state18 |  -18.62152   23.15557    -0.80   0.421    -64.02978    26.78674
            state19 |  -46.35545   23.24692    -1.99   0.046    -91.94285   -.7680542
            state20 |  -.8830536   23.03375    -0.04   0.969    -46.05242    44.28631
            state21 |  -55.76971   23.27424    -2.40   0.017    -101.4107   -10.12872
            state22 |  -38.91039   23.31753    -1.67   0.095    -84.63626    6.815483
            state23 |  -41.87948   22.98834    -1.82   0.069     -86.9598    3.200842
            state24 |  -42.79822   23.72565    -1.80   0.071    -89.32441    3.727982
            state25 |  -31.05033   22.87674    -1.36   0.175    -75.91179    13.81114
            state26 |  -13.27537   22.88891    -0.58   0.562    -58.16072    31.60997
            state27 |  -8.849038   23.98486    -0.37   0.712    -55.88355    38.18547
            state28 |  -35.42858   23.14489    -1.53   0.126     -80.8159    9.958738
            state29 |  -17.22255   23.01763    -0.75   0.454    -62.36032    27.91522
            state30 |  -30.36888   23.15392    -1.31   0.190    -75.77391    15.03614
            state31 |   4.804527   25.35869     0.19   0.850    -44.92406    54.53312
            state32 |  -18.56327   23.50234    -0.79   0.430    -64.65155    27.52501
            state33 |  -10.53343    23.5873    -0.45   0.655    -56.78831    35.72145
            state34 |   65.44851   25.11414     2.61   0.009     16.19947    114.6976
            state35 |  -28.45219   23.96903    -1.19   0.235    -75.45565    18.55126
            state36 |  -11.84333   23.76952    -0.50   0.618    -58.45555    34.76889
            state37 |   15.57542   23.63479     0.66   0.510    -30.77259    61.92343
            state38 |  -.2756711   23.68828    -0.01   0.991    -46.72858    46.17724
            state39 |   2.903275   23.59185     0.12   0.902    -43.36055     49.1671
              _cons |  -3216.469   57.75528   -55.69   0.000    -3329.728   -3103.211
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     66.54
       Model |  168.930728        56  3.01662014   Prob > F        =    0.0000
    Residual |  103.006742     2,272  .045337474   R-squared       =    0.6212
-------------+----------------------------------   Adj R-squared   =    0.6119
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21293

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |   -.000338   .0001151    -2.94   0.003    -.0005637   -.0001124
          iNDEXP_PC |   .0456896   .0117919     3.87   0.000     .0225657    .0688136
         ww1_vol_sh |   .1057271    .022188     4.77   0.000     .0622163     .149238
ww1_awards_pop10_is |    .130359   .0513949     2.54   0.011     .0295732    .2311448
             lpop30 |  -.0112073   .0085282    -1.31   0.189    -.0279311    .0055166
           c30unemp |   .5051993   .1448851     3.49   0.000     .2210783    .7893203
          c30urban1 |   .0093651    .013208     0.71   0.478    -.0165359    .0352661
            c30farm |  -.0707572   .0426287    -1.66   0.097    -.1543524    .0128381
            iYf_T29 |  -.0213915   .0100124    -2.14   0.033    -.0410259    -.001757
           MEAN9628 |   .0001171   .0004778     0.25   0.806    -.0008199    .0010542
             c30men |  -1.401695   .3579458    -3.92   0.000     -2.10363   -.6997598
           c30black |  -.4258243   .0395734   -10.76   0.000    -.5034281   -.3482205
             c30jap |   .8043747   1.319448     0.61   0.542    -1.783074    3.391824
             c30deu |  -.5954701   .1543817    -3.86   0.000     -.898214   -.2927262
             c30ita |  -.1492811   .2741685    -0.54   0.586    -.6869279    .3883658
             c30vet |   1.159349     .19033     6.09   0.000     .7861102    1.532588
           lc40wage |   .4249941   .0741505     5.73   0.000     .2795843    .5704039
      iwarconpro_PC |  -.0344505   .0089643    -3.84   0.000    -.0520296   -.0168715
             state1 |   .1804201   .1464389     1.23   0.218    -.1067478     .467588
             state2 |   .1449568   .1347882     1.08   0.282     -.119364    .4092775
             state3 |   .2081626   .1385754     1.50   0.133     -.063585    .4799102
             state4 |   .3944451   .1408845     2.80   0.005     .1181693    .6707208
             state5 |   .1545817   .1586827     0.97   0.330    -.1565966    .4657599
             state6 |   .4695711   .1363529     3.44   0.001     .2021819    .7369604
             state7 |          0  (omitted)
             state8 |   .0821732    .133497     0.62   0.538    -.1796157     .343962
             state9 |   .2050819   .1269385     1.62   0.106    -.0438457    .4540095
            state10 |  -.0605184   .1262672    -0.48   0.632    -.3081295    .1870926
            state11 |   .2023233   .1259173     1.61   0.108    -.0446016    .4492482
            state12 |   .1002839   .1257324     0.80   0.425    -.1462783    .3468462
            state13 |   .1338039      .1265     1.06   0.290    -.1142638    .3818716
            state14 |   .0772636   .1256114     0.62   0.539    -.1690615    .3235886
            state15 |   .3668414   .1288163     2.85   0.004     .1142315    .6194514
            state16 |   .0196419   .1262183     0.16   0.876    -.2278732     .267157
            state17 |   .2678616   .1276064     2.10   0.036     .0176244    .5180987
            state18 |  -.0593686   .1270471    -0.47   0.640     -.308509    .1897718
            state19 |   .3675004   .1276416     2.88   0.004      .117194    .6178067
            state20 |   .3683346   .1263607     2.91   0.004     .1205401     .616129
            state21 |  -.0230608   .1278412    -0.18   0.857    -.2737585    .2276369
            state22 |   .2944572   .1279958     2.30   0.022     .0434563    .5454581
            state23 |   .1607315   .1262036     1.27   0.203    -.0867549    .4082179
            state24 |   .2329069   .1302495     1.79   0.074    -.0225136    .4883273
            state25 |   .7144864   .1255502     5.69   0.000     .4682815    .9606914
            state26 |   .2245506   .1255754     1.79   0.074    -.0217039    .4708051
            state27 |  -.1075299   .1315823    -0.82   0.414     -.365564    .1505042
            state28 |   .3200084   .1270358     2.52   0.012       .07089    .5691267
            state29 |   .1504102   .1262878     1.19   0.234    -.0972413    .3980618
            state30 |   .2330263    .127068     1.83   0.067    -.0161551    .4822077
            state31 |  -.3505988   .1391161    -2.52   0.012    -.6234068   -.0777908
            state32 |   .1186887    .128949     0.92   0.357    -.1341814    .3715588
            state33 |   .3543031   .1294031     2.74   0.006     .1005426    .6080637
            state34 |  -.0018891   .1379792    -0.01   0.989    -.2724675    .2686893
            state35 |   .2513198   .1315323     1.91   0.056    -.0066161    .5092558
            state36 |  -.0379814   .1304042    -0.29   0.771    -.2937051    .2177423
            state37 |   .2142199   .1296703     1.65   0.099    -.0400647    .4685045
            state38 |   .0385797   .1299514     0.30   0.767    -.2162561    .2934155
            state39 |   .2279319   .1294228     1.76   0.078    -.0258674    .4817312
              _cons |  -1.544679   .4872024    -3.17   0.002    -2.500087   -.5892708
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00148166    .00088394   1.676      .09369995
Goodman-1 (Aroian)  .00148166    .00091783   1.614      .10646147
Goodman-2           .00148166    .0008487   1.746      .080846

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -4.38316   2.14752  -2.04103    .041247
b coefficient   = -.000338   .000115  -2.93775    .003306
Indirect effect =  .001482   .000884    1.6762      .0937
  Direct effect =   .04569   .011792   3.87468    .000107
   Total effect =  .047171   .011801   3.99729    .000064

Proportion of total effect that is mediated:  .03141029
Ratio of indirect to direct effect:           .03242889
Ratio of total to direct effect:              1.0324289

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =      9.43
       Model |  7.04814735        55  .128148134   Prob > F        =    0.0000
    Residual |  30.8786078     2,273  .013584957   R-squared       =    0.1858
-------------+----------------------------------   Adj R-squared   =    0.1661
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11655

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0224353   .0064489     3.48   0.001      .009789    .0350817
         ww1_vol_sh |   .0567001   .0121083     4.68   0.000     .0329555    .0804446
ww1_awards_pop10_is |   .0358764   .0281329     1.28   0.202    -.0192925    .0910453
             lpop30 |  -.0175697   .0046131    -3.81   0.000     -.026616   -.0085235
           c30unemp |   .1192512   .0791621     1.51   0.132    -.0359863    .2744887
          c30urban1 |   .0095073   .0071012     1.34   0.181    -.0044182    .0234328
            c30farm |   .0356015   .0233246     1.53   0.127    -.0101383    .0813412
            iYf_T29 |   .0154792   .0054747     2.83   0.005     .0047433    .0262151
           MEAN9628 |    .000081   .0002614     0.31   0.757    -.0004316    .0005936
             c30men |  -.5979399   .1958675    -3.05   0.002    -.9820377   -.2138421
           c30black |  -.0504227   .0215574    -2.34   0.019    -.0926969   -.0081485
             c30jap |   .9391403   .7222218     1.30   0.194    -.4771426    2.355423
             c30deu |   .0958424   .0843989     1.14   0.256    -.0696646    .2613494
             c30ita |  -.0160179   .1487168    -0.11   0.914    -.3076526    .2756169
             c30vet |    .240809   .1026679     2.35   0.019     .0394764    .4421416
           lc40wage |   .0617875   .0153312     4.03   0.000     .0317228    .0918521
      iwarconpro_PC |   .0025517   .0048427     0.53   0.598     -.006945    .0120483
             state1 |   .0535878   .0801375     0.67   0.504    -.1035624     .210738
             state2 |   .0157755   .0737541     0.21   0.831    -.1288569    .1604079
             state3 |   .0432504   .0758554     0.57   0.569    -.1055026    .1920035
             state4 |   .0192653   .0771108     0.25   0.803    -.1319495    .1704801
             state5 |   .1059618   .0868141     1.22   0.222    -.0642813     .276205
             state6 |   .0248246   .0746305     0.33   0.739    -.1215264    .1711755
             state7 |          0  (omitted)
             state8 |   .0095899   .0730755     0.13   0.896    -.1337118    .1528916
             state9 |   .0380621   .0694816     0.55   0.584    -.0981919    .1743161
            state10 |   .0047585   .0690949     0.07   0.945    -.1307371    .1402541
            state11 |   .0072172   .0689113     0.10   0.917    -.1279185    .1423529
            state12 |   -.014991   .0688132    -0.22   0.828    -.1499343    .1199523
            state13 |   .0070784   .0692397     0.10   0.919    -.1287013    .1428581
            state14 |   .0223551   .0687563     0.33   0.745    -.1124765    .1571866
            state15 |  -.0262809   .0704912    -0.37   0.709    -.1645148    .1119529
            state16 |   .0306023   .0690467     0.44   0.658    -.1047987    .1660034
            state17 |   .0238904   .0698243     0.34   0.732    -.1130356    .1608165
            state18 |   .0068075    .069535     0.10   0.922    -.1295512    .1431661
            state19 |   .0545377   .0698093     0.78   0.435    -.0823589    .1914343
            state20 |   .0200035   .0691692     0.29   0.772    -.1156378    .1556448
            state21 |   .0187265   .0698914     0.27   0.789     -.118331     .155784
            state22 |   .0444895   .0700213     0.64   0.525    -.0928229    .1818019
            state23 |   .0147955   .0690328     0.21   0.830    -.1205784    .1501693
            state24 |    .024608   .0712469     0.35   0.730    -.1151078    .1643237
            state25 |   .0580688   .0686977     0.85   0.398    -.0766478    .1927855
            state26 |   .0188097   .0687342     0.27   0.784    -.1159787    .1535981
            state27 |   .0252109   .0720253     0.35   0.726    -.1160313    .1664531
            state28 |   .0358951   .0695029     0.52   0.606    -.1004007    .1721908
            state29 |   .0226336   .0691208     0.33   0.743    -.1129128      .15818
            state30 |   .0186967     .06953     0.27   0.788    -.1176522    .1550456
            state31 |   .0582714   .0761508     0.77   0.444     -.091061    .2076038
            state32 |   .0558803   .0705763     0.79   0.429    -.0825204     .194281
            state33 |   .1650784   .0708314     2.33   0.020     .0261774    .3039794
            state34 |    .038714   .0754165     0.51   0.608    -.1091783    .1866064
            state35 |   .0371889   .0719777     0.52   0.605      -.10396    .1783379
            state36 |   .0558374   .0713786     0.78   0.434    -.0841367    .1958115
            state37 |    .123335    .070974     1.74   0.082    -.0158457    .2625157
            state38 |   .0395715   .0711347     0.56   0.578    -.0999242    .1790672
            state39 |   .0727325   .0708451     1.03   0.305    -.0661954    .2116603
              _cons |  -.0545537   .1734361    -0.31   0.753    -.3946633     .285556
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1395.13
       Model |   115595243        55  2101731.69   Prob > F        =    0.0000
    Residual |  3424222.84     2,273  1506.47727   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.813

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -4.383161    2.14752    -2.04   0.041    -8.594465    -.171857
         ww1_vol_sh |  -15.09276   4.032146    -3.74   0.000    -22.99983   -7.185689
ww1_awards_pop10_is |   2.284969    9.36843     0.24   0.807     -16.0866    20.65654
             lpop30 |   11.36632   1.536178     7.40   0.000     8.353858    14.37877
           c30unemp |  -76.69274   26.36145    -2.91   0.004    -128.3878   -24.99771
          c30urban1 |  -21.56912   2.364743    -9.12   0.000     -26.2064   -16.93184
            c30farm |  -10.90296   7.767236    -1.40   0.161    -26.13457    4.328653
            iYf_T29 |  -4.084432   1.823109    -2.24   0.025    -7.659564   -.5093012
           MEAN9628 |   .1427831   .0870509     1.64   0.101    -.0279246    .3134907
             c30men |  -83.20593   65.22507    -1.28   0.202    -211.1128    44.70096
           c30black |   33.80044   7.178743     4.71   0.000     19.72287    47.87802
             c30jap |  -115.9304   240.5042    -0.48   0.630    -587.5612    355.7004
             c30deu |   68.05125   28.10536     2.42   0.016     12.93641    123.1661
             c30ita |   320.2306   49.52358     6.47   0.000     223.1144    417.3468
             c30vet |   281.3055   34.18903     8.23   0.000     214.2606    348.3505
           lc40wage |   596.6798   5.105386   116.87   0.000     586.6681    606.6915
      iwarconpro_PC |   12.56731   1.612661     7.79   0.000     9.404863    15.72975
             state1 |  -30.08212   26.68626    -1.13   0.260    -82.41409    22.24985
             state2 |  -32.38846   24.56056    -1.32   0.187    -80.55193    15.77501
             state3 |  -1.238114    25.2603    -0.05   0.961    -50.77378    48.29755
             state4 |  -18.34012   25.67835    -0.71   0.475    -68.69557    32.01533
             state5 |  -45.82434   28.90962    -1.59   0.113    -102.5163    10.86767
             state6 |  -17.73872    24.8524    -0.71   0.475    -66.47449    30.99704
             state7 |          0  (omitted)
             state8 |   1.270456   24.33459     0.05   0.958    -46.44987    48.99078
             state9 |  -11.64718   23.13779    -0.50   0.615    -57.02058    33.72622
            state10 |  -28.37733   23.00901    -1.23   0.218    -73.49819    16.74352
            state11 |  -22.89817    22.9479    -1.00   0.318    -67.89918    22.10285
            state12 |   -20.3995   22.91522    -0.89   0.373    -65.33644    24.53744
            state13 |  -14.08892   23.05726    -0.61   0.541    -59.30439    31.12654
            state14 |  -9.739452   22.89625    -0.43   0.671    -54.63919    35.16028
            state15 |  -28.05224     23.474    -1.20   0.232    -74.08495    17.98047
            state16 |  -39.37688   22.99296    -1.71   0.087    -84.46626    5.712498
            state17 |  -30.65647   23.25193    -1.32   0.187    -76.25369    14.94075
            state18 |  -18.62152   23.15557    -0.80   0.421    -64.02978    26.78674
            state19 |  -46.35545   23.24692    -1.99   0.046    -91.94285   -.7680542
            state20 |  -.8830536   23.03375    -0.04   0.969    -46.05242    44.28631
            state21 |  -55.76971   23.27424    -2.40   0.017    -101.4107   -10.12872
            state22 |  -38.91039   23.31753    -1.67   0.095    -84.63626    6.815483
            state23 |  -41.87948   22.98834    -1.82   0.069     -86.9598    3.200842
            state24 |  -42.79822   23.72565    -1.80   0.071    -89.32441    3.727982
            state25 |  -31.05033   22.87674    -1.36   0.175    -75.91179    13.81114
            state26 |  -13.27537   22.88891    -0.58   0.562    -58.16072    31.60997
            state27 |  -8.849038   23.98486    -0.37   0.712    -55.88355    38.18547
            state28 |  -35.42858   23.14489    -1.53   0.126     -80.8159    9.958738
            state29 |  -17.22255   23.01763    -0.75   0.454    -62.36032    27.91522
            state30 |  -30.36888   23.15392    -1.31   0.190    -75.77391    15.03614
            state31 |   4.804527   25.35869     0.19   0.850    -44.92406    54.53312
            state32 |  -18.56327   23.50234    -0.79   0.430    -64.65155    27.52501
            state33 |  -10.53343    23.5873    -0.45   0.655    -56.78831    35.72145
            state34 |   65.44851   25.11414     2.61   0.009     16.19947    114.6976
            state35 |  -28.45219   23.96903    -1.19   0.235    -75.45565    18.55126
            state36 |  -11.84333   23.76952    -0.50   0.618    -58.45555    34.76889
            state37 |   15.57542   23.63479     0.66   0.510    -30.77259    61.92343
            state38 |  -.2756711   23.68828    -0.01   0.991    -46.72858    46.17724
            state39 |   2.903275   23.59185     0.12   0.902    -43.36055     49.1671
              _cons |  -3216.469   57.75528   -55.69   0.000    -3329.728   -3103.211
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.27
       Model |  7.05606139        56  .126001096   Prob > F        =    0.0000
    Residual |  30.8706938     2,272  .013587453   R-squared       =    0.1860
-------------+----------------------------------   Adj R-squared   =    0.1660
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11657

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |  -.0000481    .000063    -0.76   0.445    -.0001716    .0000755
          iNDEXP_PC |   .0222246   .0064554     3.44   0.001     .0095655    .0348837
         ww1_vol_sh |   .0559745   .0121467     4.61   0.000     .0321547    .0797943
ww1_awards_pop10_is |   .0359863   .0281359     1.28   0.201    -.0191884    .0911609
             lpop30 |  -.0170233   .0046687    -3.65   0.000    -.0261787   -.0078679
           c30unemp |   .1155642   .0793166     1.46   0.145    -.0399764    .2711048
          c30urban1 |   .0084704   .0072307     1.17   0.242     -.005709    .0226497
            c30farm |   .0350773   .0233369     1.50   0.133    -.0106865    .0808411
            iYf_T29 |   .0152828   .0054812     2.79   0.005     .0045341    .0260316
           MEAN9628 |   .0000878   .0002616     0.34   0.737    -.0004251    .0006008
             c30men |    -.60194   .1959556    -3.07   0.002    -.9862107   -.2176694
           c30black |  -.0487977   .0216643    -2.25   0.024    -.0912815   -.0063139
             c30jap |   .9335669    .722325     1.29   0.196    -.4829187    2.350053
             c30deu |   .0991139   .0845155     1.17   0.241    -.0666216    .2648495
             c30ita |  -.0006228   .1500921    -0.00   0.997    -.2949548    .2937092
             c30vet |   .2543328   .1041952     2.44   0.015     .0500051    .4586604
           lc40wage |   .0904728   .0405933     2.23   0.026     .0108689    .1700766
      iwarconpro_PC |   .0031559   .0049075     0.64   0.520    -.0064677    .0127794
             state1 |   .0521416   .0801672     0.65   0.515     -.105067    .2093502
             state2 |   .0142184   .0737891     0.19   0.847    -.1304826    .1589194
             state3 |   .0431909   .0758624     0.57   0.569    -.1055759    .1919577
             state4 |   .0183836   .0771265     0.24   0.812    -.1328621    .1696293
             state5 |   .1037588     .08687     1.19   0.232    -.0665941    .2741117
             state6 |   .0239718   .0746457     0.32   0.748    -.1224091    .1703526
             state7 |          0  (omitted)
             state8 |    .009651   .0730823     0.13   0.895     -.133664    .1529659
             state9 |   .0375021   .0694919     0.54   0.589     -.098772    .1737763
            state10 |   .0033943   .0691243     0.05   0.961    -.1321591    .1389477
            state11 |   .0061164   .0689328     0.09   0.929    -.1290614    .1412941
            state12 |  -.0159717   .0688315    -0.23   0.817    -.1509509    .1190076
            state13 |    .006401   .0692518     0.09   0.926    -.1294023    .1422044
            state14 |   .0218868   .0687653     0.32   0.750    -.1129625    .1567362
            state15 |  -.0276295   .0705198    -0.39   0.695    -.1659195    .1106605
            state16 |   .0287093   .0690975     0.42   0.678    -.1067916    .1642102
            state17 |   .0224166   .0698574     0.32   0.748    -.1145744    .1594077
            state18 |   .0059122   .0695513     0.09   0.932    -.1304784    .1423029
            state19 |   .0523092   .0698767     0.75   0.454    -.0847197    .1893381
            state20 |   .0199611   .0691755     0.29   0.773    -.1156927    .1556149
            state21 |   .0160453    .069986     0.23   0.819    -.1211978    .1532885
            state22 |   .0426189   .0700707     0.61   0.543    -.0947903     .180028
            state23 |   .0127821   .0690895     0.19   0.853     -.122703    .1482673
            state24 |   .0225504   .0713044     0.32   0.752    -.1172782    .1623791
            state25 |   .0565761   .0687318     0.82   0.411    -.0782075    .1913598
            state26 |   .0181715   .0687456     0.26   0.792    -.1166393    .1529823
            state27 |   .0247855   .0720341     0.34   0.731    -.1164739     .166045
            state28 |   .0341918   .0695451     0.49   0.623    -.1021867    .1705704
            state29 |   .0218056   .0691356     0.32   0.752    -.1137699    .1573812
            state30 |   .0172367   .0695627     0.25   0.804    -.1191764    .1536498
            state31 |   .0585024   .0761584     0.77   0.442    -.0908449    .2078497
            state32 |   .0549879   .0705925     0.78   0.436    -.0834446    .1934203
            state33 |    .164572    .070841     2.32   0.020     .0256521    .3034919
            state34 |   .0418605    .075536     0.55   0.580    -.1062663    .1899872
            state35 |   .0358211   .0720067     0.50   0.619    -.1053846    .1770268
            state36 |   .0552681   .0713891     0.77   0.439    -.0847266    .1952627
            state37 |   .1240838   .0709873     1.75   0.081     -.015123    .2632906
            state38 |   .0395582   .0711412     0.56   0.578    -.0999503    .1790668
            state39 |    .072872   .0708519     1.03   0.304    -.0660691    .2118132
              _cons |   -.209185   .2667164    -0.78   0.433    -.7322183    .3138483
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00021072    .00029478   .7148      .47470414
Goodman-1 (Aroian)  .00021072    .00032434   .6497      .51588716
Goodman-2           .00021072    .0002619   .8046      .42106683

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -4.38316   2.14752  -2.04103    .041247
b coefficient   = -.000048   .000063  -.763185    .445353
Indirect effect =  .000211   .000295   .714846    .474704
  Direct effect =  .022225   .006455    3.4428    .000576
   Total effect =  .022435   .006449   3.47895    .000503

Proportion of total effect that is mediated:  .00939232
Ratio of indirect to direct effect:           .00948137
Ratio of total to direct effect:              1.0094814

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     74.15
       Model |  2361.56435        55  42.9375337   Prob > F        =    0.0000
    Residual |  1316.17408     2,273  .579047108   R-squared       =    0.6421
-------------+----------------------------------   Adj R-squared   =    0.6335
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .76095

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .2905177    .042103     6.90   0.000     .2079535     .373082
         ww1_vol_sh |   .4560195   .0790518     5.77   0.000     .3009982    .6110407
ww1_awards_pop10_is |   .5944944   .1836718     3.24   0.001     .2343125    .9546763
             lpop30 |  -.1651172   .0301174    -5.48   0.000    -.2241776   -.1060567
           c30unemp |   1.117586   .5168268     2.16   0.031     .1040847    2.131088
          c30urban1 |   .1773901   .0463617     3.83   0.000     .0864744    .2683058
            c30farm |  -.3136146   .1522798    -2.06   0.040    -.6122365   -.0149928
            iYf_T29 |   .1148773   .0357428     3.21   0.001     .0447854    .1849691
           MEAN9628 |   .0050597   .0017067     2.96   0.003     .0017129    .0084065
             c30men |  -7.136619   1.278763    -5.58   0.000    -9.644284   -4.628953
           c30black |   -1.19932   .1407421    -8.52   0.000    -1.475317   -.9233236
             c30jap |   11.75079   4.715181     2.49   0.013     2.504285     20.9973
             c30deu |   .5113417   .5510167     0.93   0.354    -.5692066     1.59189
             c30ita |  -.6472785   .9709296    -0.67   0.505    -2.551279    1.256722
             c30vet |   3.578578   .6702896     5.34   0.000     2.264135    4.893022
           lc40wage |   1.121407   .1000931    11.20   0.000      .925124    1.317691
      iwarconpro_PC |   .2034959   .0316169     6.44   0.000      .141495    .2654968
             state1 |   .3055505   .5231947     0.58   0.559    -.7204386     1.33154
             state2 |  -.0571539   .4815196    -0.12   0.906    -1.001418      .88711
             state3 |   .1304792   .4952383     0.26   0.792    -.8406872    1.101646
             state4 |   .4294066   .5034342     0.85   0.394    -.5578321    1.416645
             state5 |   .1446135   .5667846     0.26   0.799    -.9668558    1.256083
             state6 |    .675807   .4872412     1.39   0.166    -.2796771    1.631291
             state7 |          0  (omitted)
             state8 |  -.1736677   .4770893    -0.36   0.716    -1.109244    .7619083
             state9 |   .2396733   .4536257     0.53   0.597    -.6498904    1.129237
            state10 |  -.3354928   .4511008    -0.74   0.457    -1.220105    .5491196
            state11 |   .2737623   .4499027     0.61   0.543    -.6085005    1.156025
            state12 |  -.0762644    .449262    -0.17   0.865     -.957271    .8047421
            state13 |   .0202954   .4520467     0.04   0.964    -.8661718    .9067626
            state14 |   -.053523   .4488901    -0.12   0.905    -.9338002    .8267541
            state15 |   .3171286   .4602172     0.69   0.491    -.5853611    1.219618
            state16 |  -.0258771   .4507861    -0.06   0.954    -.9098723     .858118
            state17 |   .3332405   .4558633     0.73   0.465    -.5607112    1.227192
            state18 |  -.6359043   .4539742    -1.40   0.161    -1.526151    .2543427
            state19 |   .5357984   .4557651     1.18   0.240    -.3579607    1.429557
            state20 |   .3381869   .4515858     0.75   0.454    -.5473765     1.22375
            state21 |  -.4300001   .4563008    -0.94   0.346     -1.32481    .4648095
            state22 |   .3347816   .4571495     0.73   0.464    -.5616922    1.231255
            state23 |   .0474246   .4506955     0.11   0.916     -.836393    .9312422
            state24 |  -.1167456   .4651508    -0.25   0.802     -1.02891     .795419
            state25 |   1.376052   .4485075     3.07   0.002     .4965248    2.255579
            state26 |  -.0124937   .4487462    -0.03   0.978    -.8924887    .8675014
            state27 |   -.364611   .4702327    -0.78   0.438    -1.286741    .5575193
            state28 |   .5961082   .4537648     1.31   0.189    -.2937282    1.485945
            state29 |   .0047839   .4512699     0.01   0.992      -.88016    .8897278
            state30 |   .0343317   .4539418     0.08   0.940    -.8558519    .9245153
            state31 |  -.6572543   .4971671    -1.32   0.186    -1.632203    .3176945
            state32 |   .3695115   .4607727     0.80   0.423    -.5340675    1.273091
            state33 |   1.641734   .4624383     3.55   0.000     .7348883    2.548579
            state34 |   -.109373   .4923728    -0.22   0.824     -1.07492    .8561741
            state35 |   .1778902   .4699223     0.38   0.705    -.7436312    1.099412
            state36 |  -.1446803   .4660108    -0.31   0.756    -1.058531    .7691708
            state37 |   .8208114   .4633694     1.77   0.077    -.0878599    1.729483
            state38 |   .5053946   .4644182     1.09   0.277    -.4053332    1.416122
            state39 |   .8244799   .4625277     1.78   0.075    -.0825408      1.7315
              _cons |  -4.908279   1.132315    -4.33   0.000    -7.128759     -2.6878
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1395.13
       Model |   115595243        55  2101731.69   Prob > F        =    0.0000
    Residual |  3424222.84     2,273  1506.47727   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.813

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -4.383161    2.14752    -2.04   0.041    -8.594465    -.171857
         ww1_vol_sh |  -15.09276   4.032146    -3.74   0.000    -22.99983   -7.185689
ww1_awards_pop10_is |   2.284969    9.36843     0.24   0.807     -16.0866    20.65654
             lpop30 |   11.36632   1.536178     7.40   0.000     8.353858    14.37877
           c30unemp |  -76.69274   26.36145    -2.91   0.004    -128.3878   -24.99771
          c30urban1 |  -21.56912   2.364743    -9.12   0.000     -26.2064   -16.93184
            c30farm |  -10.90296   7.767236    -1.40   0.161    -26.13457    4.328653
            iYf_T29 |  -4.084432   1.823109    -2.24   0.025    -7.659564   -.5093012
           MEAN9628 |   .1427831   .0870509     1.64   0.101    -.0279246    .3134907
             c30men |  -83.20593   65.22507    -1.28   0.202    -211.1128    44.70096
           c30black |   33.80044   7.178743     4.71   0.000     19.72287    47.87802
             c30jap |  -115.9304   240.5042    -0.48   0.630    -587.5612    355.7004
             c30deu |   68.05125   28.10536     2.42   0.016     12.93641    123.1661
             c30ita |   320.2306   49.52358     6.47   0.000     223.1144    417.3468
             c30vet |   281.3055   34.18903     8.23   0.000     214.2606    348.3505
           lc40wage |   596.6798   5.105386   116.87   0.000     586.6681    606.6915
      iwarconpro_PC |   12.56731   1.612661     7.79   0.000     9.404863    15.72975
             state1 |  -30.08212   26.68626    -1.13   0.260    -82.41409    22.24985
             state2 |  -32.38846   24.56056    -1.32   0.187    -80.55193    15.77501
             state3 |  -1.238114    25.2603    -0.05   0.961    -50.77378    48.29755
             state4 |  -18.34012   25.67835    -0.71   0.475    -68.69557    32.01533
             state5 |  -45.82434   28.90962    -1.59   0.113    -102.5163    10.86767
             state6 |  -17.73872    24.8524    -0.71   0.475    -66.47449    30.99704
             state7 |          0  (omitted)
             state8 |   1.270456   24.33459     0.05   0.958    -46.44987    48.99078
             state9 |  -11.64718   23.13779    -0.50   0.615    -57.02058    33.72622
            state10 |  -28.37733   23.00901    -1.23   0.218    -73.49819    16.74352
            state11 |  -22.89817    22.9479    -1.00   0.318    -67.89918    22.10285
            state12 |   -20.3995   22.91522    -0.89   0.373    -65.33644    24.53744
            state13 |  -14.08892   23.05726    -0.61   0.541    -59.30439    31.12654
            state14 |  -9.739452   22.89625    -0.43   0.671    -54.63919    35.16028
            state15 |  -28.05224     23.474    -1.20   0.232    -74.08495    17.98047
            state16 |  -39.37688   22.99296    -1.71   0.087    -84.46626    5.712498
            state17 |  -30.65647   23.25193    -1.32   0.187    -76.25369    14.94075
            state18 |  -18.62152   23.15557    -0.80   0.421    -64.02978    26.78674
            state19 |  -46.35545   23.24692    -1.99   0.046    -91.94285   -.7680542
            state20 |  -.8830536   23.03375    -0.04   0.969    -46.05242    44.28631
            state21 |  -55.76971   23.27424    -2.40   0.017    -101.4107   -10.12872
            state22 |  -38.91039   23.31753    -1.67   0.095    -84.63626    6.815483
            state23 |  -41.87948   22.98834    -1.82   0.069     -86.9598    3.200842
            state24 |  -42.79822   23.72565    -1.80   0.071    -89.32441    3.727982
            state25 |  -31.05033   22.87674    -1.36   0.175    -75.91179    13.81114
            state26 |  -13.27537   22.88891    -0.58   0.562    -58.16072    31.60997
            state27 |  -8.849038   23.98486    -0.37   0.712    -55.88355    38.18547
            state28 |  -35.42858   23.14489    -1.53   0.126     -80.8159    9.958738
            state29 |  -17.22255   23.01763    -0.75   0.454    -62.36032    27.91522
            state30 |  -30.36888   23.15392    -1.31   0.190    -75.77391    15.03614
            state31 |   4.804527   25.35869     0.19   0.850    -44.92406    54.53312
            state32 |  -18.56327   23.50234    -0.79   0.430    -64.65155    27.52501
            state33 |  -10.53343    23.5873    -0.45   0.655    -56.78831    35.72145
            state34 |   65.44851   25.11414     2.61   0.009     16.19947    114.6976
            state35 |  -28.45219   23.96903    -1.19   0.235    -75.45565    18.55126
            state36 |  -11.84333   23.76952    -0.50   0.618    -58.45555    34.76889
            state37 |   15.57542   23.63479     0.66   0.510    -30.77259    61.92343
            state38 |  -.2756711   23.68828    -0.01   0.991    -46.72858    46.17724
            state39 |   2.903275   23.59185     0.12   0.902    -43.36055     49.1671
              _cons |  -3216.469   57.75528   -55.69   0.000    -3329.728   -3103.211
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     74.34
       Model |  2379.25977        56  42.4867816   Prob > F        =    0.0000
    Residual |  1298.47866     2,272  .571513494   R-squared       =    0.6469
-------------+----------------------------------   Adj R-squared   =    0.6382
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .75599

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |  -.0022733   .0004085    -5.56   0.000    -.0030744   -.0014721
          iNDEXP_PC |   .2805537   .0418665     6.70   0.000     .1984531    .3626543
         ww1_vol_sh |   .4217097   .0787776     5.35   0.000     .2672261    .5761932
ww1_awards_pop10_is |   .5996887   .1824755     3.29   0.001     .2418528    .9575247
             lpop30 |  -.1392786    .030279    -4.60   0.000     -.198656   -.0799012
           c30unemp |   .9432436   .5144088     1.83   0.067    -.0655165    1.952004
          c30urban1 |   .1283579   .0468945     2.74   0.006     .0363974    .2203184
            c30farm |  -.3383999   .1513515    -2.24   0.025    -.6352014   -.0415984
            iYf_T29 |   .1055923   .0355487     2.97   0.003      .035881    .1753036
           MEAN9628 |   .0053843   .0016965     3.17   0.002     .0020574    .0087112
             c30men |  -7.325768   1.270872    -5.76   0.000    -9.817959   -4.833576
           c30black |  -1.122483   .1405038    -7.99   0.000    -1.398012   -.8469537
             c30jap |   11.48725   4.684647     2.45   0.014      2.30062    20.67389
             c30deu |   .6660399    .548126     1.22   0.224    -.4088399     1.74092
             c30ita |   .0806894   .9734243     0.08   0.934    -1.828204    1.989583
             c30vet |    4.21806    .675759     6.24   0.000      2.89289    5.543229
           lc40wage |   2.477817   .2632685     9.41   0.000     1.961545    2.994088
      iwarconpro_PC |   .2320647   .0318274     7.29   0.000     .1696509    .2944784
             state1 |    .237166   .5199253     0.46   0.648    -.7824121    1.256744
             state2 |  -.1307813     .47856    -0.27   0.785    -1.069242    .8076789
             state3 |   .1276646   .4920064     0.26   0.795    -.8371642    1.092493
             state4 |   .3877147   .5002047     0.78   0.438    -.5931911     1.36862
             state5 |   .0404428   .5633967     0.07   0.943    -1.064383    1.145269
             state6 |   .6354822   .4841155     1.31   0.189    -.3138725    1.584837
             state7 |          0  (omitted)
             state8 |  -.1707796   .4739759    -0.36   0.719     -1.10025    .7586911
             state9 |   .2131962   .4506902     0.47   0.636    -.6706112    1.097004
            state10 |  -.4000019   .4483066    -0.89   0.372    -1.279135    .4791313
            state11 |   .2217088   .4470643     0.50   0.620    -.6549881    1.098406
            state12 |  -.1226378   .4464077    -0.27   0.784    -.9980473    .7527716
            state13 |  -.0117324   .4491333    -0.03   0.979    -.8924867    .8690219
            state14 |  -.0756634   .4459782    -0.17   0.865    -.9502304    .7989037
            state15 |   .2533585   .4573572     0.55   0.580    -.6435229     1.15024
            state16 |  -.1153911   .4481328    -0.26   0.797    -.9941835    .7634013
            state17 |   .2635503   .4530612     0.58   0.561    -.6249067    1.152007
            state18 |  -.6782359   .4510755    -1.50   0.133    -1.562799     .206327
            state19 |   .4304203   .4531864     0.95   0.342    -.4582821    1.319123
            state20 |   .3361795   .4486387     0.75   0.454    -.5436048    1.215964
            state21 |  -.5567793    .453895    -1.23   0.220    -1.446871    .3333128
            state22 |   .2463281    .454444     0.54   0.588    -.6448405    1.137497
            state23 |  -.0477784   .4480808    -0.11   0.915    -.9264688     .830912
            state24 |  -.2140371   .4624457    -0.46   0.644    -1.120897    .6928229
            state25 |   1.305466   .4457608     2.93   0.003     .4313253    2.179607
            state26 |   -.042672   .4458505    -0.10   0.924    -.9169887    .8316446
            state27 |  -.3847272   .4671778    -0.82   0.410    -1.300867    .5314125
            state28 |   .5155698   .4510356     1.14   0.253    -.3689149    1.400055
            state29 |  -.0343675   .4483799    -0.08   0.939    -.9136443    .8449093
            state30 |  -.0347047   .4511498    -0.08   0.939    -.9194134    .8500039
            state31 |  -.6463324   .4939263    -1.31   0.191    -1.614926    .3222613
            state32 |   .3273123   .4578283     0.71   0.475    -.5704929    1.225118
            state33 |   1.617788   .4594404     3.52   0.000     .7168218    2.518755
            state34 |   .0394086   .4898896     0.08   0.936    -.9212691    1.000086
            state35 |    .113211       .467     0.24   0.808    -.8025802    1.029002
            state36 |  -.1716032   .4629947    -0.37   0.711     -1.07954    .7363334
            state37 |   .8562184   .4603892     1.86   0.063    -.0466089    1.759046
            state38 |   .5047679   .4613872     1.09   0.274    -.4000163    1.409552
            state39 |   .8310798   .4595105     1.81   0.071    -.0700244    1.732184
              _cons |  -12.22016   1.729793    -7.06   0.000    -15.61229   -8.828017
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00996407    .00519993   1.916      .05534041
Goodman-1 (Aroian)  .00996407    .00527342   1.889      .0588264
Goodman-2           .00996407    .00512538   1.944      .05188764

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -4.38316   2.14752  -2.04103    .041247
b coefficient   = -.002273   .000409  -5.56439    2.6e-08
Indirect effect =  .009964     .0052   1.91619     .05534
  Direct effect =  .280554   .041867   6.70115    2.1e-11
   Total effect =  .290518   .042103   6.90017    5.2e-12

Proportion of total effect that is mediated:  .03429764
Ratio of indirect to direct effect:           .03551574
Ratio of total to direct effect:              1.0355157

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(64, 2931)     =     91.23
       Model |  898.808481        64  14.0438825   Prob > F        =    0.0000
    Residual |  451.184193     2,931  .153935242   R-squared       =    0.6658
-------------+----------------------------------   Adj R-squared   =    0.6585
       Total |  1349.99267     2,995  .450748806   Root MSE        =    .39235

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1871382   .0192273     9.73   0.000     .1494379    .2248386
         ww1_vol_sh |  -.0059065   .0347562    -0.17   0.865    -.0740555    .0622425
ww1_awards_pop10_is |   .2139426   .0830121     2.58   0.010     .0511748    .3767105
             lpop30 |   -.051914   .0141133    -3.68   0.000    -.0795871    -.024241
           c30unemp |  -.7606926   .2444626    -3.11   0.002    -1.240028   -.2813568
          c30urban1 |   .0915783   .0210944     4.34   0.000      .050217    .1329396
            c30farm |  -.3159787   .0738559    -4.28   0.000    -.4607935    -.171164
            iYf_T29 |   .0923623   .0165249     5.59   0.000     .0599607    .1247639
           MEAN9628 |   .0036813   .0008266     4.45   0.000     .0020605    .0053021
             c30men |  -1.927522    .603315    -3.19   0.001    -3.110486   -.7445576
           c30black |  -.2500833   .0720235    -3.47   0.001    -.3913051   -.1088615
             c30jap |    6.46896    2.30652     2.80   0.005     1.946397    10.99152
             c30deu |   .8408021   .1984157     4.24   0.000     .4517539     1.22985
             c30ita |  -.0019875   .4696818    -0.00   0.997    -.9229273    .9189522
             c30vet |   .8660542   .3092418     2.80   0.005     .2597011    1.472407
           lc40wage |   .5367967    .048025    11.18   0.000     .4426306    .6309629
      iwarconpro_PC |   .2605554   .0149829    17.39   0.000     .2311774    .2899334
             state1 |    .391395   .2245017     1.74   0.081     -.048802     .831592
             state2 |   .2155011   .2091505     1.03   0.303    -.1945956    .6255979
             state3 |   .1690162   .2123261     0.80   0.426    -.2473073    .5853396
             state4 |   .3010429   .2220917     1.36   0.175    -.1344286    .7365143
             state5 |          0  (omitted)
             state6 |   .3489149   .2114865     1.65   0.099    -.0657623     .763592
             state7 |   .6125096   .2915975     2.10   0.036     .0407528    1.184266
             state8 |   .2493798   .1969119     1.27   0.205      -.13672    .6354795
             state9 |    .331179   .1863524     1.78   0.076    -.0342159     .696574
            state10 |   .3171688   .1876314     1.69   0.091     -.050734    .6850716
            state11 |   .4912471   .1883475     2.61   0.009     .1219404    .8605539
            state12 |    .410863   .1892334     2.17   0.030     .0398192    .7819069
            state13 |   .3314428   .1903665     1.74   0.082    -.0418228    .7047084
            state14 |    .318422   .1889773     1.68   0.092    -.0521196    .6889637
            state15 |   .4159163   .1934039     2.15   0.032     .0366951    .7951374
            state16 |   .9853185   .1901259     5.18   0.000     .6125246    1.358112
            state17 |   .8379442    .189829     4.41   0.000     .4657325    1.210156
            state18 |   .7372534   .1927244     3.83   0.000     .3593645    1.115142
            state19 |   .3646711   .1892355     1.93   0.054     -.006377    .7357191
            state20 |   .9582163   .1912329     5.01   0.000     .5832519    1.333181
            state21 |   1.084118   .1962531     5.52   0.000     .6993103    1.468926
            state22 |   .8128219   .1943744     4.18   0.000     .4316977    1.193946
            state23 |   .3848284   .1910781     2.01   0.044     .0101674    .7594894
            state24 |   .3323479   .1946424     1.71   0.088    -.0493018    .7139975
            state25 |  -.0666947    .192376    -0.35   0.729    -.4439004    .3105111
            state26 |   .2554432   .1927556     1.33   0.185    -.1225068    .6333932
            state27 |   .2028325    .190846     1.06   0.288    -.1713734    .5770384
            state28 |   .0523085   .1934773     0.27   0.787    -.3270568    .4316737
            state29 |   .1954054   .1952907     1.00   0.317    -.1875156    .5783263
            state30 |   .2567287   .1906261     1.35   0.178    -.1170459    .6305034
            state31 |  -.0934757   .2006764    -0.47   0.641    -.4869567    .3000054
            state32 |   .5148358   .1895698     2.72   0.007     .1431323    .8865393
            state33 |   .0309385   .1890904     0.16   0.870    -.3398249     .401702
            state34 |   .2872696   .2030974     1.41   0.157    -.1109584    .6854977
            state35 |   .4284899   .1919635     2.23   0.026     .0520929     .804887
            state36 |   .1904298   .1904742     1.00   0.318    -.1830469    .5639065
            state37 |   .0779115   .1917151     0.41   0.684    -.2979985    .4538214
            state38 |   .2094905   .2194916     0.95   0.340    -.2208827    .6398638
            state39 |   .3613586   .1911529     1.89   0.059     -.013449    .7361663
            state40 |    .485261   .1951161     2.49   0.013     .1026826    .8678394
            state41 |    .930209    .196608     4.73   0.000     .5447051    1.315713
            state42 |   .2938722   .2110182     1.39   0.164    -.1198869    .7076312
            state43 |   .0884163   .2019865     0.44   0.662    -.3076335    .4844661
            state44 |   .2212046   .1981517     1.12   0.264    -.1673262    .6097353
            state45 |   .7231328   .2059923     3.51   0.000     .3192285    1.127037
            state46 |    .540333   .1941548     2.78   0.005     .1596393    .9210266
            state47 |   .9171977   .1985215     4.62   0.000     .5279421    1.306453
            state48 |   .7358887   .1968755     3.74   0.000     .3498603    1.121917
              _cons |   .7471578   .5174526     1.44   0.149    -.2674497    1.761765
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(64, 2931)     =    352.46
       Model |  1101985.21        64   17218.519   Prob > F        =    0.0000
    Residual |  143186.898     2,931  48.8525751   R-squared       =    0.8850
-------------+----------------------------------   Adj R-squared   =    0.8825
       Total |  1245172.11     2,995  415.750288   Root MSE        =    6.9895

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   2.473622   .3425252     7.22   0.000     1.802007    3.145236
         ww1_vol_sh |  -.7933431   .6191653    -1.28   0.200    -2.007386       .4207
ww1_awards_pop10_is |   .4783982   1.478822     0.32   0.746    -2.421237    3.378033
             lpop30 |   2.051613   .2514224     8.16   0.000      1.55863    2.544595
           c30unemp |   4.460299   4.354989     1.02   0.306     -4.07885    12.99945
          c30urban1 |   .2901064   .3757866     0.77   0.440     -.446726    1.026939
            c30farm |  -8.525883    1.31571    -6.48   0.000    -11.10569   -5.946074
            iYf_T29 |  -.5871809   .2943837    -1.99   0.046    -1.164401   -.0099611
           MEAN9628 |   .6814276   .0147255    46.28   0.000     .6525542     .710301
             c30men |   106.0201   10.74778     9.86   0.000     84.94617    127.0941
           c30black |   12.45784   1.283066     9.71   0.000     9.942036    14.97364
             c30jap |   59.57691    41.0896     1.45   0.147    -20.99049    140.1443
             c30deu |  -60.53852   3.534685   -17.13   0.000    -67.46924    -53.6078
             c30ita |   51.29857   8.367167     6.13   0.000     34.89245    67.70469
             c30vet |   -27.1443   5.509001    -4.93   0.000    -37.94621    -16.3424
           lc40wage |   1.138471   .8555437     1.33   0.183    -.5390567    2.815998
      iwarconpro_PC |   .6466516   .2669127     2.42   0.015     .1232962    1.170007
             state1 |   .9890618   3.999395     0.25   0.805    -6.852848    8.830971
             state2 |   1.800533    3.72592     0.48   0.629    -5.505153    9.106219
             state3 |   2.671889   3.782493     0.71   0.480    -4.744724     10.0885
             state4 |   5.314555   3.956461     1.34   0.179    -2.443171    13.07228
             state5 |          0  (omitted)
             state6 |   10.23787   3.767535     2.72   0.007     2.850582    17.62515
             state7 |   .3870899   5.194677     0.07   0.941    -9.798497    10.57268
             state8 |   .7318495   3.507896     0.21   0.835    -6.146341     7.61004
             state9 |  -10.53285   3.319783    -3.17   0.002    -17.04219   -4.023508
            state10 |   .4935896   3.342568     0.15   0.883    -6.060431     7.04761
            state11 |   3.727941   3.355324     1.11   0.267     -2.85109    10.30697
            state12 |   1.066804   3.371106     0.32   0.752    -5.543172    7.676781
            state13 |   4.068137   3.391292     1.20   0.230    -2.581419    10.71769
            state14 |  -.4047158   3.366544    -0.12   0.904    -7.005746    6.196314
            state15 |   16.28271   3.445401     4.73   0.000     9.527053    23.03836
            state16 |   13.36623   3.387006     3.95   0.000     6.725073    20.00738
            state17 |  -.2243869   3.381716    -0.07   0.947    -6.855167    6.406393
            state18 |   19.33411   3.433297     5.63   0.000     12.60219    26.06603
            state19 |   1.191549   3.371145     0.35   0.724    -5.418502    7.801601
            state20 |   2.920833   3.406726     0.86   0.391    -3.758985    9.600652
            state21 |   7.138927   3.496159     2.04   0.041       .28375     13.9941
            state22 |   7.388568   3.462691     2.13   0.033     .5990146    14.17812
            state23 |   9.822821    3.40397     2.89   0.004     3.148406    16.49724
            state24 |   21.92107   3.467465     6.32   0.000     15.12216    28.71999
            state25 |   20.23352    3.42709     5.90   0.000     13.51378    26.95327
            state26 |   15.00656   3.433852     4.37   0.000     8.273553    21.73957
            state27 |   22.18703   3.399835     6.53   0.000     15.52073    28.85334
            state28 |   10.91987   3.446711     3.17   0.002     4.161647    17.67809
            state29 |   17.58635   3.479016     5.05   0.000     10.76479    24.40791
            state30 |   18.64114   3.395917     5.49   0.000     11.98252    25.29977
            state31 |   11.49483   3.574959     3.22   0.001     4.485142    18.50451
            state32 |   18.93368     3.3771     5.61   0.000     12.31195    25.55541
            state33 |   8.591471   3.368559     2.55   0.011      1.98649    15.19645
            state34 |   1.222374   3.618087     0.34   0.735    -5.871877    8.316625
            state35 |   9.036819   3.419743     2.64   0.008     2.331478    15.74216
            state36 |   15.18164    3.39321     4.47   0.000     8.528327    21.83496
            state37 |   3.905938   3.415317     1.14   0.253    -2.790726     10.6026
            state38 |   10.57462   3.910142     2.70   0.007     2.907716    18.24152
            state39 |  -4.015995   3.405302    -1.18   0.238    -10.69302    2.661033
            state40 |   10.03271   3.475904     2.89   0.004     3.217254    16.84817
            state41 |   11.18832   3.502482     3.19   0.001     4.320742    18.05589
            state42 |  -.8004964   3.759194    -0.21   0.831    -8.171424    6.570432
            state43 |   5.741771   3.598297     1.60   0.111    -1.313676    12.79722
            state44 |   6.109697   3.529983     1.73   0.084     -.811801    13.03119
            state45 |   6.105134   3.669658     1.66   0.096    -1.090235     13.3005
            state46 |    7.00662    3.45878     2.03   0.043     .2247358     13.7885
            state47 |   11.53013   3.536569     3.26   0.001      4.59572    18.46454
            state48 |   15.16096   3.507248     4.32   0.000     8.284037    22.03787
              _cons |  -69.59018   9.218182    -7.55   0.000    -87.66495   -51.51541
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(65, 2930)     =     89.91
       Model |  899.187601        65  13.8336554   Prob > F        =    0.0000
    Residual |  450.805074     2,930  .153858387   R-squared       =    0.6661
-------------+----------------------------------   Adj R-squared   =    0.6587
       Total |  1349.99267     2,995  .450748806   Root MSE        =    .39225

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |   .0016272   .0010366     1.57   0.117    -.0004053    .0036597
          iNDEXP_PC |   .1831132   .0193927     9.44   0.000     .1450884     .221138
         ww1_vol_sh |  -.0046156   .0347572    -0.13   0.894    -.0727666    .0635355
ww1_awards_pop10_is |   .2131642   .0829928     2.57   0.010      .050434    .3758944
             lpop30 |  -.0552524   .0142692    -3.87   0.000     -.083231   -.0272738
           c30unemp |  -.7679503   .2444453    -3.14   0.002    -1.247252   -.2886484
          c30urban1 |   .0911063   .0210912     4.32   0.000     .0497511    .1324614
            c30farm |  -.3021056   .0743645    -4.06   0.000    -.4479176   -.1562935
            iYf_T29 |   .0933177    .016532     5.64   0.000     .0609023    .1257332
           MEAN9628 |   .0025725   .0010871     2.37   0.018     .0004409    .0047042
             c30men |  -2.100036   .6130949    -3.43   0.001    -3.302177   -.8978956
           c30black |  -.2703545   .0731544    -3.70   0.000    -.4137937   -.1269153
             c30jap |   6.372018   2.306771     2.76   0.006     1.848961    10.89507
             c30deu |   .9393094   .2080557     4.51   0.000     .5313592     1.34726
             c30ita |  -.0854597   .4725659    -0.18   0.857    -1.012055    .8411352
             c30vet |   .9102229   .3104423     2.93   0.003     .3015157     1.51893
           lc40wage |   .5349442   .0480275    11.14   0.000     .4407731    .6291154
      iwarconpro_PC |   .2595032   .0149941    17.31   0.000     .2301031    .2889032
             state1 |   .3897856    .224448     1.74   0.083    -.0503062    .8298774
             state2 |   .2125713   .2091066     1.02   0.309    -.1974394    .6225821
             state3 |   .1646685   .2122912     0.78   0.438    -.2515865    .5809235
             state4 |   .2923951   .2221045     1.32   0.188    -.1431017    .7278919
             state5 |          0  (omitted)
             state6 |    .332256   .2116998     1.57   0.117    -.0828396    .7473515
             state7 |   .6118798    .291525     2.10   0.036     .0402651    1.183494
             state8 |   .2481889   .1968642     1.26   0.208    -.1378173    .6341951
             state9 |   .3483179   .1866255     1.87   0.062    -.0176126    .7142484
            state10 |   .3163657   .1875853     1.69   0.092    -.0514467     .684178
            state11 |   .4851811   .1883401     2.58   0.010     .1158888    .8544734
            state12 |   .4091271   .1891894     2.16   0.031     .0381695    .7800847
            state13 |   .3248232   .1903657     1.71   0.088    -.0484408    .6980873
            state14 |   .3190806   .1889305     1.69   0.091    -.0513695    .6895307
            state15 |   .3894213   .1940909     2.01   0.045      .008853    .7699896
            state16 |   .9635692   .1905827     5.06   0.000     .5898795    1.337259
            state17 |   .8383093   .1897817     4.42   0.000     .4661903    1.210428
            state18 |   .7057933   .1937158     3.64   0.000     .3259603    1.085626
            state19 |   .3627322   .1891923     1.92   0.055    -.0082312    .7336955
            state20 |   .9534635   .1912091     4.99   0.000     .5785457    1.328381
            state21 |   1.072502   .1963436     5.46   0.000     .6875164    1.457487
            state22 |   .8007993   .1944767     4.12   0.000     .4194744    1.182124
            state23 |   .3688449   .1913016     1.93   0.054    -.0062543    .7439441
            state24 |   .2966783    .195916     1.51   0.130    -.0874688    .6808253
            state25 |  -.0996183   .1934682    -0.51   0.607    -.4789657    .2797291
            state26 |   .2310248   .1933343     1.19   0.232      -.14806    .6101096
            state27 |   .1667301   .1921796     0.87   0.386    -.2100905    .5435508
            state28 |   .0345398     .19376     0.18   0.859    -.3453797    .4144593
            state29 |   .1667892   .1960912     0.85   0.395    -.2177014    .5512797
            state30 |   .2263962   .1915556     1.18   0.237    -.1492011    .6019935
            state31 |  -.1121799   .2009798    -0.56   0.577    -.5062559    .2818962
            state32 |   .4840272    .190536     2.54   0.011     .1104291    .8576252
            state33 |   .0169586   .1892528     0.09   0.929    -.3541234    .3880407
            state34 |   .2852806   .2030506     1.40   0.160    -.1128558     .683417
            state35 |   .4137854   .1921441     2.15   0.031     .0370342    .7905365
            state36 |   .1657265   .1910758     0.87   0.386    -.2089299    .5403829
            state37 |   .0715558     .19171     0.37   0.709    -.3043442    .4474558
            state38 |   .1922837   .2197104     0.88   0.382    -.2385187    .6230861
            state39 |   .3678934   .1911506     1.92   0.054    -.0069097    .7426964
            state40 |   .4689359   .1953444     2.40   0.016     .0859098    .8519621
            state41 |   .9120035   .1969008     4.63   0.000     .5259256    1.298082
            state42 |   .2951747   .2109672     1.40   0.162    -.1184843    .7088337
            state43 |   .0790734   .2020238     0.39   0.696    -.3170496    .4751963
            state44 |    .211263   .1982035     1.07   0.287    -.1773693    .5998952
            state45 |   .7131986    .206038     3.46   0.001     .3092045    1.117193
            state46 |   .5289319   .1942422     2.72   0.007     .1480669    .9097969
            state47 |   .8984361   .1988314     4.52   0.000     .5085726      1.2883
            state48 |    .711219   .1974528     3.60   0.000     .3240587    1.098379
              _cons |   .8603938   .5223287     1.65   0.100    -.1637747    1.884562
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00402504    .00262402   1.534      .12504915
Goodman-1 (Aroian)  .00402504    .00264793    1.52      .12849382
Goodman-2           .00402504    .00259989   1.548      .12158402

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  2.47362   .342525   7.22172    5.1e-13
b coefficient   =  .001627   .001037   1.56974    .116476
Indirect effect =  .004025   .002624   1.53392    .125049
  Direct effect =  .183113   .019393   9.44236          0
   Total effect =  .187138   .019227   9.73296          0

Proportion of total effect that is mediated:  .02150835
Ratio of indirect to direct effect:           .02198113
Ratio of total to direct effect:              1.0219811

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =     67.38
       Model |  165.195876        55  3.00356139   Prob > F        =    0.0000
    Residual |  100.210462     2,248  .044577608   R-squared       =    0.6224
-------------+----------------------------------   Adj R-squared   =    0.6132
       Total |  265.406338     2,303  .115243742   Root MSE        =    .21113

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0483126   .0117634     4.11   0.000     .0252444    .0713808
         ww1_vol_sh |   .0975476   .0221753     4.40   0.000     .0540615    .1410338
ww1_awards_pop10_is |   .1221427   .0510225     2.39   0.017     .0220866    .2221988
             lpop30 |  -.0153282   .0083997    -1.82   0.068    -.0318002    .0011437
           c30unemp |   .5745782    .144204     3.98   0.000     .2917913    .8573651
          c30urban1 |   .0138304   .0129385     1.07   0.285    -.0115422    .0392031
            c30farm |  -.0518698   .0431444    -1.20   0.229    -.1364768    .0327372
            iYf_T29 |  -.0199808   .0099933    -2.00   0.046    -.0395778   -.0003837
           MEAN9628 |  -.0001669   .0004782    -0.35   0.727    -.0011046    .0007708
             c30men |  -1.646639   .3606279    -4.57   0.000    -2.353838   -.9394408
           c30black |  -.4279511   .0394291   -10.85   0.000    -.5052724   -.3506298
             c30jap |   .8599504   1.308874     0.66   0.511    -1.706778    3.426679
             c30deu |  -.6279238   .1541452    -4.07   0.000    -.9302056   -.3256421
             c30ita |  -.2570203   .2695253    -0.95   0.340    -.7855647    .2715241
             c30vet |   1.158578   .1901718     6.09   0.000     .7856477    1.531509
           lc40wage |   .2287012   .0282241     8.10   0.000     .1733531    .2840493
      iwarconpro_PC |  -.0399519   .0088076    -4.54   0.000    -.0572239     -.02268
             state1 |   .0229059   .1209475     0.19   0.850    -.2142746    .2600864
             state2 |  -.0086534   .1130963    -0.08   0.939    -.2304374    .2131306
             state3 |   .0346673   .1145718     0.30   0.762    -.1900103    .2593449
             state4 |   .2358695   .1199827     1.97   0.049     .0005812    .4711579
             state5 |          0  (omitted)
             state6 |   .3069335   .1143105     2.69   0.007     .0827683    .5310986
             state7 |  -.1627603   .1572839    -1.03   0.301    -.4711971    .1456764
             state8 |  -.0868402   .1062785    -0.82   0.414    -.2952545     .121574
             state9 |   .0409453   .1006657     0.41   0.684    -.1564621    .2383528
            state10 |  -.2184118   .1014545    -2.15   0.031    -.4173661   -.0194576
            state11 |   .0395724   .1023712     0.39   0.699    -.1611795    .2403243
            state12 |  -.0612091   .1025747    -0.60   0.551      -.26236    .1399419
            state13 |  -.0310423   .1035005    -0.30   0.764    -.2340087    .1719242
            state14 |  -.0851983   .1024414    -0.83   0.406    -.2860878    .1156913
            state15 |    .211322   .1065574     1.98   0.047     .0023609    .4202831
            state16 |  -.1349787   .1035437    -1.30   0.193    -.3380299    .0680725
            state17 |    .110563   .1055473     1.05   0.295    -.0964174    .3175435
            state18 |  -.2197722   .1043111    -2.11   0.035    -.4243284   -.0152161
            state19 |    .220254   .1043676     2.11   0.035     .0155872    .4249209
            state20 |   .2004421   .1034625     1.94   0.053    -.0024498    .4033341
            state21 |  -.1701919   .1047659    -1.62   0.104      -.37564    .0352561
            state22 |   .1425026   .1058899     1.35   0.179    -.0651495    .3501547
            state23 |   .0043519   .1032913     0.04   0.966    -.1982044    .2069081
            state24 |    .080312   .1088534     0.74   0.461    -.1331518    .2937758
            state25 |   .5692936   .1029331     5.53   0.000     .3674397    .7711475
            state26 |   .0602771   .1024895     0.59   0.557    -.1407069    .2612612
            state27 |  -.2699095   .1098967    -2.46   0.014     -.485419   -.0543999
            state28 |   .1597901    .104279     1.53   0.126    -.0447031    .3642833
            state29 |  -.0134896   .1032722    -0.13   0.896    -.2160085    .1890293
            state30 |   .0747484   .1037731     0.72   0.471    -.1287528    .2782496
            state31 |  -.5169636   .1190788    -4.34   0.000    -.7504795   -.2834478
            state32 |  -.0385324   .1058975    -0.36   0.716    -.2461995    .1691346
            state33 |   .1927245   .1073181     1.80   0.073    -.0177285    .4031775
            state34 |  -.1745038   .1150237    -1.52   0.129    -.4000677      .05106
            state35 |   .0941075   .1097074     0.86   0.391    -.1210308    .3092459
            state36 |  -.1993938    .107227    -1.86   0.063    -.4096681    .0108805
            state37 |    .047932   .1055702     0.45   0.650    -.1590933    .2549573
            state38 |  -.1215662   .1078666    -1.13   0.260    -.3330948    .0899624
            state39 |   .0604988   .1070106     0.57   0.572    -.1493511    .2703486
              _cons |  -.1902861   .2997774    -0.63   0.526    -.7781555    .3975832
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    311.86
       Model |  845653.089        55  15375.5107   Prob > F        =    0.0000
    Residual |  110831.907     2,248  49.3024498   R-squared       =    0.8841
-------------+----------------------------------   Adj R-squared   =    0.8813
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0216

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   2.253921   .3912077     5.76   0.000     1.486755    3.021087
         ww1_vol_sh |    -.93103   .7374711    -1.26   0.207    -2.377225    .5151654
ww1_awards_pop10_is |  -.1109151   1.696827    -0.07   0.948    -3.438426    3.216596
             lpop30 |   2.131523   .2793435     7.63   0.000     1.583725    2.679321
           c30unemp |   4.055542   4.795712     0.85   0.398    -5.348945    13.46003
          c30urban1 |   .1543802   .4302886     0.36   0.720    -.6894243    .9981846
            c30farm |  -7.935311   1.434829    -5.53   0.000    -10.74904   -5.121583
            iYf_T29 |  -.7382931   .3323415    -2.22   0.026    -1.390021   -.0865648
           MEAN9628 |   .6851559   .0159021    43.09   0.000     .6539716    .7163402
             c30men |   98.27771    11.9932     8.19   0.000     74.75881    121.7966
           c30black |   11.92228   1.311273     9.09   0.000     9.350845    14.49371
             c30jap |   42.69073   43.52851     0.98   0.327    -42.66954     128.051
             c30deu |  -71.31411   5.126321   -13.91   0.000    -81.36693   -61.26129
             c30ita |   54.38205   8.963454     6.07   0.000     36.80454    71.95956
             c30vet |  -27.37936   6.324439    -4.33   0.000    -39.78171   -14.97701
           lc40wage |    .985109   .9386349     1.05   0.294    -.8555726    2.825791
      iwarconpro_PC |     .81238   .2929109     2.77   0.006     .2379759    1.386784
             state1 |   1.178504   4.022285     0.29   0.770    -6.709276    9.066284
             state2 |   1.842985    3.76118     0.49   0.624    -5.532764    9.218733
             state3 |   2.899884   3.810252     0.76   0.447    -4.572095    10.37186
             state4 |   5.408579   3.990197     1.36   0.175    -2.416277    13.23343
             state5 |          0  (omitted)
             state6 |   10.36246   3.801561     2.73   0.006     2.907528     17.8174
             state7 |   .6108934   5.230703     0.12   0.907    -9.646618     10.8684
             state8 |   1.493452   3.534445     0.42   0.673    -5.437665    8.424569
             state9 |  -10.03468   3.347784    -3.00   0.003    -16.59976   -3.469612
            state10 |    .906463   3.374016     0.27   0.788    -5.710049    7.522975
            state11 |   4.701052   3.404502     1.38   0.167    -1.975244    11.37735
            state12 |   1.591053   3.411269     0.47   0.641    -5.098512    8.280619
            state13 |   5.070173   3.442058     1.47   0.141    -1.679771    11.82012
            state14 |   .2704952   3.406836     0.08   0.937    -6.410379    6.951369
            state15 |   18.36159    3.54372     5.18   0.000     11.41229     25.3109
            state16 |   9.623978   3.443495     2.79   0.005     2.871216    16.37674
            state17 |   21.56619    3.51013     6.14   0.000     14.68276    28.44963
            state18 |   20.09983   3.469017     5.79   0.000     13.29702    26.90264
            state19 |    15.3461   3.470895     4.42   0.000     8.539606    22.15259
            state20 |   21.82796   3.440795     6.34   0.000      15.0805    28.57543
            state21 |   10.81302   3.484143     3.10   0.002     3.980551     17.6455
            state22 |   17.28263   3.521521     4.91   0.000     10.37685     24.1884
            state23 |   18.39172   3.435101     5.35   0.000     11.65542    25.12802
            state24 |   11.20896   3.620079     3.10   0.002     4.109913    18.30801
            state25 |   19.07255   3.423191     5.57   0.000      12.3596    25.78549
            state26 |   8.442764   3.408438     2.48   0.013     1.758748    15.12678
            state27 |   1.606177   3.654773     0.44   0.660    -5.560906     8.77326
            state28 |   9.190826   3.467949     2.65   0.008     2.390109    15.99154
            state29 |   14.85344   3.434468     4.32   0.000     8.118382     21.5885
            state30 |   3.943677   3.451126     1.14   0.253    -2.824049     10.7114
            state31 |   11.15167   3.960137     2.82   0.005     3.385765    18.91758
            state32 |    11.0344   3.521774     3.13   0.002      4.12813    17.94067
            state33 |   12.34325   3.569021     3.46   0.001     5.344329    19.34217
            state34 |   .9794419   3.825281     0.26   0.798     -6.52201    8.480894
            state35 |   5.878627   3.648479     1.61   0.107    -1.276112    13.03337
            state36 |   6.582285   3.565989     1.85   0.065    -.4106898    13.57526
            state37 |   8.251647   3.510891     2.35   0.019     1.366721    15.13657
            state38 |   12.58831   3.587261     3.51   0.000     5.553626      19.623
            state39 |   16.37528   3.558791     4.60   0.000      9.39642    23.35414
              _cons |  -63.98833   9.969531    -6.42   0.000    -83.53878   -44.43789
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =     66.85
       Model |  165.856388        56  2.96172122   Prob > F        =    0.0000
    Residual |  99.5499497     2,247  .044303493   R-squared       =    0.6249
-------------+----------------------------------   Adj R-squared   =    0.6156
       Total |  265.406338     2,303  .115243742   Root MSE        =    .21048

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |   .0024412   .0006322     3.86   0.000     .0012014    .0036811
          iNDEXP_PC |   .0428103   .0118134     3.62   0.000     .0196439    .0659766
         ww1_vol_sh |   .0998205   .0221148     4.51   0.000     .0564528    .1431881
ww1_awards_pop10_is |   .1224135   .0508654     2.41   0.016     .0226653    .2221616
             lpop30 |  -.0205317   .0084816    -2.42   0.016    -.0371643   -.0038992
           c30unemp |   .5646777   .1437828     3.93   0.000     .2827167    .8466387
          c30urban1 |   .0134535    .012899     1.04   0.297    -.0118417    .0387488
            c30farm |  -.0324979   .0433031    -0.75   0.453    -.1174163    .0524204
            iYf_T29 |  -.0181784   .0099735    -1.82   0.068    -.0377366    .0013797
           MEAN9628 |  -.0018395   .0006441    -2.86   0.004    -.0031026   -.0005764
             c30men |  -1.886557   .3648474    -5.17   0.000     -2.60203   -1.171084
           c30black |   -.457056   .0400239   -11.42   0.000    -.5355438   -.3785683
             c30jap |   .7557327   1.305123     0.58   0.563     -1.80364    3.315105
             c30deu |    -.45383   .1601486    -2.83   0.005    -.7678846   -.1397754
             c30ita |  -.3897791   .2708862    -1.44   0.150    -.9209926    .1414343
             c30vet |   1.225418   .1903749     6.44   0.000     .8520886    1.598747
           lc40wage |   .2262963   .0281441     8.04   0.000     .1711051    .2814875
      iwarconpro_PC |  -.0419351   .0087955    -4.77   0.000    -.0591833   -.0246869
             state1 |   .0200289   .1205774     0.17   0.868    -.2164258    .2564836
             state2 |  -.0131525    .112754    -0.12   0.907    -.2342655    .2079604
             state3 |    .027588   .1142337     0.24   0.809    -.1964266    .2516027
             state4 |    .222666   .1196621     1.86   0.063    -.0119938    .4573257
             state5 |          0  (omitted)
             state6 |   .2816364   .1141467     2.47   0.014     .0577924    .5054803
             state7 |  -.1642517      .1568    -1.05   0.295    -.4717397    .1432364
             state8 |  -.0904861   .1059554    -0.85   0.393    -.2982668    .1172947
             state9 |   .0654423   .1005561     0.65   0.515    -.1317503    .2626348
            state10 |  -.2206247   .1011437    -2.18   0.029    -.4189695   -.0222798
            state11 |   .0280961   .1020992     0.28   0.783    -.1721225    .2283147
            state12 |  -.0650932   .1022637    -0.64   0.525    -.2656345    .1354481
            state13 |  -.0434197   .1032315    -0.42   0.674    -.2458589    .1590194
            state14 |  -.0858586   .1021261    -0.84   0.401    -.2861299    .1144127
            state15 |   .1664972   .1068617     1.56   0.119    -.0430607    .3760552
            state16 |   -.158473    .103404    -1.53   0.126    -.3612504    .0443044
            state17 |   .0579151   .1061021     0.55   0.585    -.1501533    .2659835
            state18 |  -.2688405   .1047635    -2.57   0.010    -.4742838   -.0633971
            state19 |   .1827907   .1044976     1.75   0.080    -.0221312    .3877127
            state20 |   .1471551   .1040631     1.41   0.157    -.0569146    .3512249
            state21 |   -.196589   .1046668    -1.88   0.060    -.4018427    .0086648
            state22 |   .1003118   .1061278     0.95   0.345     -.107807    .3084306
            state23 |  -.0405465   .1036277    -0.39   0.696    -.2437624    .1626695
            state24 |   .0529484   .1087494     0.49   0.626    -.1603114    .2662082
            state25 |   .5227332   .1033223     5.06   0.000     .3201162    .7253503
            state26 |   .0396665   .1023133     0.39   0.698     -.160972    .2403049
            state27 |  -.2738305    .109563    -2.50   0.013    -.4886857   -.0589753
            state28 |   .1373532   .1041202     1.32   0.187    -.0668285     .341535
            state29 |  -.0497502   .1033817    -0.48   0.630    -.2524837    .1529833
            state30 |    .065121   .1034836     0.63   0.529    -.1378125    .2680545
            state31 |  -.5441874   .1189213    -4.58   0.000    -.7773944   -.3109803
            state32 |  -.0654699   .1058017    -0.62   0.536    -.2729491    .1420093
            state33 |   .1625918   .1072719     1.52   0.130    -.0477706    .3729543
            state34 |  -.1768949   .1146712    -1.54   0.123    -.4017675    .0479777
            state35 |   .0797565   .1094327     0.73   0.466    -.1348433    .2943563
            state36 |  -.2154627   .1069778    -2.01   0.044    -.4252483    -.005677
            state37 |   .0277879   .1053744     0.26   0.792    -.1788534    .2344291
            state38 |  -.1522971   .1078286    -1.41   0.158    -.3637512    .0591569
            state39 |    .020523   .1071823     0.19   0.848    -.1896635    .2307096
              _cons |  -.0340762   .3015802    -0.11   0.910     -.625481    .5573287
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00550233    .00171546   3.207      .00133895
Goodman-1 (Aroian)  .00550233    .0017332   3.175      .00150007
Goodman-2           .00550233    .00169753   3.241      .00118958

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  2.25392   .391208   5.76144    8.3e-09
b coefficient   =  .002441   .000632   3.86119    .000113
Indirect effect =  .005502   .001715    3.2075    .001339
  Direct effect =   .04281   .011813   3.62387     .00029
   Total effect =  .048313   .011763   4.10704     .00004

Proportion of total effect that is mediated:  .11389015
Ratio of indirect to direct effect:           .12852825
Ratio of total to direct effect:              1.1285282

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =      9.40
       Model |  6.95134136        55  .126388025   Prob > F        =    0.0000
    Residual |  30.2353027     2,248  .013449868   R-squared       =    0.1869
-------------+----------------------------------   Adj R-squared   =    0.1670
       Total |   37.186644     2,303  .016147045   Root MSE        =    .11597

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |    .022157   .0064615     3.43   0.001     .0094859    .0348281
         ww1_vol_sh |   .0591707   .0121806     4.86   0.000     .0352842    .0830571
ww1_awards_pop10_is |   .0370295   .0280261     1.32   0.187    -.0179302    .0919892
             lpop30 |  -.0172463   .0046138    -3.74   0.000    -.0262942   -.0081985
           c30unemp |   .1121329   .0792096     1.42   0.157    -.0431987    .2674646
          c30urban1 |   .0103499    .007107     1.46   0.145     -.003587    .0242868
            c30farm |   .0331464   .0236987     1.40   0.162    -.0133272    .0796201
            iYf_T29 |   .0137915   .0054892     2.51   0.012      .003027    .0245559
           MEAN9628 |   .0000593   .0002627     0.23   0.822    -.0004558    .0005743
             c30men |  -.5443174   .1980888    -2.75   0.006    -.9327734   -.1558613
           c30black |  -.0465785    .021658    -2.15   0.032    -.0890502   -.0041068
             c30jap |   .9526547   .7189497     1.33   0.185    -.4572199    2.362529
             c30deu |   .0993402   .0846702     1.17   0.241    -.0666998    .2653801
             c30ita |  -.0157011   .1480472    -0.11   0.916    -.3060246    .2746223
             c30vet |   .1853594   .1044592     1.77   0.076    -.0194872     .390206
           lc40wage |   .0607751   .0155032     3.92   0.000      .030373    .0911771
      iwarconpro_PC |   .0035768   .0048379     0.74   0.460    -.0059105    .0130641
             state1 |  -.0540355   .0664351    -0.81   0.416     -.184316    .0762451
             state2 |  -.0930767   .0621225    -1.50   0.134    -.2149002    .0287467
             state3 |  -.0617159    .062933    -0.98   0.327    -.1851288    .0616969
             state4 |  -.0891389   .0659051    -1.35   0.176    -.2183801    .0401024
             state5 |          0  (omitted)
             state6 |  -.0837292   .0627895    -1.33   0.183    -.2068606    .0394022
             state7 |  -.1100494   .0863942    -1.27   0.203    -.2794702    .0593714
             state8 |  -.0960196   .0583776    -1.64   0.100    -.2104992    .0184599
             state9 |  -.0697164   .0552945    -1.26   0.208      -.17815    .0387173
            state10 |  -.1036665   .0557278    -1.86   0.063    -.2129498    .0056168
            state11 |  -.0998296   .0562313    -1.78   0.076    -.2101003    .0104412
            state12 |  -.1222213   .0563431    -2.17   0.030    -.2327112   -.0117314
            state13 |     -.1013   .0568516    -1.78   0.075    -.2127872    .0101871
            state14 |  -.0860403   .0562699    -1.53   0.126    -.1963867    .0243061
            state15 |  -.1348126   .0585308    -2.30   0.021    -.2495925   -.0200326
            state16 |  -.0776198   .0568754    -1.36   0.172    -.1891535    .0339139
            state17 |     -.0845    .057976    -1.46   0.145     -.198192     .029192
            state18 |  -.1006263   .0572969    -1.76   0.079    -.2129867     .011734
            state19 |  -.0527708   .0573279    -0.92   0.357     -.165192    .0596503
            state20 |  -.0885511   .0568308    -1.56   0.119    -.1999974    .0228951
            state21 |  -.0882169   .0575467    -1.53   0.125    -.2010671    .0246334
            state22 |  -.0632334   .0581641    -1.09   0.277    -.1772943    .0508276
            state23 |  -.0928038   .0567367    -1.64   0.102    -.2040657     .018458
            state24 |  -.0828366    .059792    -1.39   0.166    -.2000898    .0344166
            state25 |   -.047078     .05654    -0.83   0.405    -.1579541     .063798
            state26 |  -.0890053   .0562963    -1.58   0.114    -.1994035     .021393
            state27 |  -.0829834    .060365    -1.37   0.169    -.2013604    .0353935
            state28 |  -.0705531   .0572793    -1.23   0.218    -.1828789    .0417726
            state29 |  -.0851266   .0567263    -1.50   0.134     -.196368    .0261147
            state30 |  -.0888591   .0570014    -1.56   0.119      -.20064    .0229218
            state31 |  -.0498322   .0654086    -0.76   0.446    -.1780998    .0784354
            state32 |  -.0508098   .0581683    -0.87   0.382    -.1648789    .0632594
            state33 |   .0565312   .0589486     0.96   0.338    -.0590683    .1721306
            state34 |   -.070787   .0631812    -1.12   0.263    -.1946866    .0531127
            state35 |  -.0719232    .060261    -1.19   0.233    -.1900963    .0462498
            state36 |  -.0514203   .0588986    -0.87   0.383    -.1669216     .064081
            state37 |    .015509   .0579885     0.27   0.789    -.0982076    .1292257
            state38 |   -.068619   .0592499    -1.16   0.247    -.1848093    .0475712
            state39 |  -.0340625   .0587797    -0.58   0.562    -.1493307    .0812056
              _cons |   .0422991   .1646643     0.26   0.797    -.2806109    .3652091
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    311.86
       Model |  845653.089        55  15375.5107   Prob > F        =    0.0000
    Residual |  110831.907     2,248  49.3024498   R-squared       =    0.8841
-------------+----------------------------------   Adj R-squared   =    0.8813
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0216

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   2.253921   .3912077     5.76   0.000     1.486755    3.021087
         ww1_vol_sh |    -.93103   .7374711    -1.26   0.207    -2.377225    .5151654
ww1_awards_pop10_is |  -.1109151   1.696827    -0.07   0.948    -3.438426    3.216596
             lpop30 |   2.131523   .2793435     7.63   0.000     1.583725    2.679321
           c30unemp |   4.055542   4.795712     0.85   0.398    -5.348945    13.46003
          c30urban1 |   .1543802   .4302886     0.36   0.720    -.6894243    .9981846
            c30farm |  -7.935311   1.434829    -5.53   0.000    -10.74904   -5.121583
            iYf_T29 |  -.7382931   .3323415    -2.22   0.026    -1.390021   -.0865648
           MEAN9628 |   .6851559   .0159021    43.09   0.000     .6539716    .7163402
             c30men |   98.27771    11.9932     8.19   0.000     74.75881    121.7966
           c30black |   11.92228   1.311273     9.09   0.000     9.350845    14.49371
             c30jap |   42.69073   43.52851     0.98   0.327    -42.66954     128.051
             c30deu |  -71.31411   5.126321   -13.91   0.000    -81.36693   -61.26129
             c30ita |   54.38205   8.963454     6.07   0.000     36.80454    71.95956
             c30vet |  -27.37936   6.324439    -4.33   0.000    -39.78171   -14.97701
           lc40wage |    .985109   .9386349     1.05   0.294    -.8555726    2.825791
      iwarconpro_PC |     .81238   .2929109     2.77   0.006     .2379759    1.386784
             state1 |   1.178504   4.022285     0.29   0.770    -6.709276    9.066284
             state2 |   1.842985    3.76118     0.49   0.624    -5.532764    9.218733
             state3 |   2.899884   3.810252     0.76   0.447    -4.572095    10.37186
             state4 |   5.408579   3.990197     1.36   0.175    -2.416277    13.23343
             state5 |          0  (omitted)
             state6 |   10.36246   3.801561     2.73   0.006     2.907528     17.8174
             state7 |   .6108934   5.230703     0.12   0.907    -9.646618     10.8684
             state8 |   1.493452   3.534445     0.42   0.673    -5.437665    8.424569
             state9 |  -10.03468   3.347784    -3.00   0.003    -16.59976   -3.469612
            state10 |    .906463   3.374016     0.27   0.788    -5.710049    7.522975
            state11 |   4.701052   3.404502     1.38   0.167    -1.975244    11.37735
            state12 |   1.591053   3.411269     0.47   0.641    -5.098512    8.280619
            state13 |   5.070173   3.442058     1.47   0.141    -1.679771    11.82012
            state14 |   .2704952   3.406836     0.08   0.937    -6.410379    6.951369
            state15 |   18.36159    3.54372     5.18   0.000     11.41229     25.3109
            state16 |   9.623978   3.443495     2.79   0.005     2.871216    16.37674
            state17 |   21.56619    3.51013     6.14   0.000     14.68276    28.44963
            state18 |   20.09983   3.469017     5.79   0.000     13.29702    26.90264
            state19 |    15.3461   3.470895     4.42   0.000     8.539606    22.15259
            state20 |   21.82796   3.440795     6.34   0.000      15.0805    28.57543
            state21 |   10.81302   3.484143     3.10   0.002     3.980551     17.6455
            state22 |   17.28263   3.521521     4.91   0.000     10.37685     24.1884
            state23 |   18.39172   3.435101     5.35   0.000     11.65542    25.12802
            state24 |   11.20896   3.620079     3.10   0.002     4.109913    18.30801
            state25 |   19.07255   3.423191     5.57   0.000      12.3596    25.78549
            state26 |   8.442764   3.408438     2.48   0.013     1.758748    15.12678
            state27 |   1.606177   3.654773     0.44   0.660    -5.560906     8.77326
            state28 |   9.190826   3.467949     2.65   0.008     2.390109    15.99154
            state29 |   14.85344   3.434468     4.32   0.000     8.118382     21.5885
            state30 |   3.943677   3.451126     1.14   0.253    -2.824049     10.7114
            state31 |   11.15167   3.960137     2.82   0.005     3.385765    18.91758
            state32 |    11.0344   3.521774     3.13   0.002      4.12813    17.94067
            state33 |   12.34325   3.569021     3.46   0.001     5.344329    19.34217
            state34 |   .9794419   3.825281     0.26   0.798     -6.52201    8.480894
            state35 |   5.878627   3.648479     1.61   0.107    -1.276112    13.03337
            state36 |   6.582285   3.565989     1.85   0.065    -.4106898    13.57526
            state37 |   8.251647   3.510891     2.35   0.019     1.366721    15.13657
            state38 |   12.58831   3.587261     3.51   0.000     5.553626      19.623
            state39 |   16.37528   3.558791     4.60   0.000      9.39642    23.35414
              _cons |  -63.98833   9.969531    -6.42   0.000    -83.53878   -44.43789
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =      9.43
       Model |   7.0738646        56  .126319011   Prob > F        =    0.0000
    Residual |  30.1127794     2,247  .013401326   R-squared       =    0.1902
-------------+----------------------------------   Adj R-squared   =    0.1700
       Total |   37.186644     2,303  .016147045   Root MSE        =    .11576

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |  -.0010514   .0003477    -3.02   0.003    -.0017333   -.0003695
          iNDEXP_PC |   .0245268   .0064973     3.77   0.000     .0117855     .037268
         ww1_vol_sh |   .0581918   .0121629     4.78   0.000       .03434    .0820435
ww1_awards_pop10_is |   .0369129   .0279755     1.32   0.187    -.0179476    .0917734
             lpop30 |  -.0150052   .0046648    -3.22   0.001    -.0241529   -.0058575
           c30unemp |    .116397   .0790791     1.47   0.141    -.0386787    .2714728
          c30urban1 |   .0105122   .0070943     1.48   0.139    -.0033999    .0244244
            c30farm |   .0248031   .0238163     1.04   0.298    -.0219012    .0715073
            iYf_T29 |   .0130152   .0054853     2.37   0.018     .0022584     .023772
           MEAN9628 |   .0007796   .0003543     2.20   0.028     .0000849    .0014743
             c30men |  -.4409861   .2006625    -2.20   0.028    -.8344892   -.0474829
           c30black |  -.0340431   .0220128    -1.55   0.122    -.0772106    .0091244
             c30jap |   .9975407   .7178047     1.39   0.165    -.4100889     2.40517
             c30deu |    .024359   .0880801     0.28   0.782    -.1483679    .1970859
             c30ita |   .0414773   .1489848     0.28   0.781    -.2506848    .3336395
             c30vet |   .1565721   .1047043     1.50   0.135    -.0487551    .3618994
           lc40wage |   .0618108    .015479     3.99   0.000     .0314562    .0921654
      iwarconpro_PC |   .0044309   .0048375     0.92   0.360    -.0050554    .0139173
             state1 |  -.0527963   .0663164    -0.80   0.426    -.1828441    .0772514
             state2 |   -.091139   .0620136    -1.47   0.142    -.2127489    .0304709
             state3 |  -.0586669   .0628274    -0.93   0.351    -.1818728    .0645389
             state4 |  -.0834522    .065813    -1.27   0.205    -.2125127    .0456084
             state5 |          0  (omitted)
             state6 |  -.0728339   .0627795    -1.16   0.246    -.1959458    .0502781
             state7 |  -.1094071   .0862385    -1.27   0.205    -.2785225    .0597083
             state8 |  -.0944494   .0582744    -1.62   0.105    -.2087267     .019828
             state9 |   -.080267   .0553049    -1.45   0.147     -.188721    .0281869
            state10 |  -.1027134    .055628    -1.85   0.065    -.2118011    .0063743
            state11 |  -.0948868   .0561536    -1.69   0.091     -.205005    .0152315
            state12 |  -.1205484   .0562441    -2.14   0.032    -.2308442   -.0102527
            state13 |  -.0959692   .0567763    -1.69   0.091    -.2073087    .0153704
            state14 |  -.0857559   .0561683    -1.53   0.127    -.1959031    .0243913
            state15 |  -.1155068   .0587729    -1.97   0.050    -.2307616    -.000252
            state16 |  -.0675009   .0568712    -1.19   0.235    -.1790265    .0440246
            state17 |  -.0618248   .0583551    -1.06   0.290    -.1762604    .0526107
            state18 |  -.0794929   .0576189    -1.38   0.168    -.1924848    .0334989
            state19 |  -.0366356   .0574726    -0.64   0.524    -.1493407    .0760694
            state20 |  -.0656007   .0572337    -1.15   0.252    -.1778371    .0466356
            state21 |  -.0768478   .0575657    -1.33   0.182    -.1897354    .0360397
            state22 |   -.045062   .0583692    -0.77   0.440    -.1595253    .0694012
            state23 |  -.0734664   .0569942    -1.29   0.198    -.1852332    .0383004
            state24 |  -.0710513   .0598111    -1.19   0.235    -.1883421    .0462395
            state25 |  -.0270247   .0568262    -0.48   0.634    -.1384621    .0844126
            state26 |  -.0801284   .0562713    -1.42   0.155    -.1904775    .0302208
            state27 |  -.0812946   .0602586    -1.35   0.177    -.1994629    .0368736
            state28 |  -.0608897   .0572651    -1.06   0.288    -.1731877    .0514082
            state29 |  -.0695094   .0568589    -1.22   0.222    -.1810108    .0419921
            state30 |  -.0847126    .056915    -1.49   0.137    -.1963241    .0268988
            state31 |  -.0381071   .0654055    -0.58   0.560    -.1663687    .0901545
            state32 |   -.039208   .0581899    -0.67   0.501    -.1533195    .0749036
            state33 |   .0695091   .0589985     1.18   0.239    -.0461881    .1852064
            state34 |  -.0697572    .063068    -1.11   0.269    -.1934349    .0539205
            state35 |  -.0657423   .0601869    -1.09   0.275    -.1837701    .0522854
            state36 |  -.0444995   .0588367    -0.76   0.450    -.1598795    .0708805
            state37 |    .024185   .0579549     0.42   0.676    -.0894657    .1378356
            state38 |  -.0553834   .0593047    -0.93   0.350     -.171681    .0609142
            state39 |  -.0168452   .0589492    -0.29   0.775    -.1324458    .0987553
              _cons |  -.0249796   .1658661    -0.15   0.880    -.3502464    .3002872
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00236982    .00088513  -2.677      .0074204
Goodman-1 (Aroian)  -.00236982    .00089552  -2.646      .00813792
Goodman-2           -.00236982    .00087462   -2.71      .00673735

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  2.25392   .391208   5.76144    8.3e-09
b coefficient   = -.001051   .000348  -3.02368    .002497
Indirect effect =  -.00237   .000885  -2.67736     .00742
  Direct effect =  .024527   .006497   3.77495     .00016
   Total effect =  .022157   .006461   3.42909    .000606

Proportion of total effect that is mediated:  -.10695595
Ratio of indirect to direct effect:           -.09662168
Ratio of total to direct effect:              .90337832

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =     73.92
       Model |  2338.21963        55  42.5130841   Prob > F        =    0.0000
    Residual |   1292.7899     2,248  .575084475   R-squared       =    0.6440
-------------+----------------------------------   Adj R-squared   =    0.6352
       Total |  3631.00953     2,303   1.5766433   Root MSE        =    .75834

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .2903183   .0422512     6.87   0.000     .2074629    .3731737
         ww1_vol_sh |    .449546   .0796483     5.64   0.000     .2933541    .6057379
ww1_awards_pop10_is |     .59005   .1832606     3.22   0.001     .2306723    .9494277
             lpop30 |  -.1636909   .0301696    -5.43   0.000    -.2228542   -.1045277
           c30unemp |   1.092044   .5179463     2.11   0.035      .076341    2.107747
          c30urban1 |   .1761649    .046472     3.79   0.000     .0850324    .2672974
            c30farm |  -.3027055   .1549643    -1.95   0.051    -.6065935    .0011826
            iYf_T29 |   .1086325   .0358935     3.03   0.003     .0382446    .1790204
           MEAN9628 |   .0045828   .0017175     2.67   0.008     .0012148    .0079507
             c30men |  -7.174715   1.295289    -5.54   0.000    -9.714803   -4.634627
           c30black |  -1.152108     .14162    -8.14   0.000    -1.429827   -.8743879
             c30jap |   11.79967   4.701163     2.51   0.012       2.5806    21.01875
             c30deu |   .4523571   .5536527     0.82   0.414    -.6333668    1.538081
             c30ita |  -.6332345   .9680704    -0.65   0.513     -2.53164    1.265171
             c30vet |   3.354515   .6830517     4.91   0.000     2.015037    4.693993
           lc40wage |   1.138532   .1013744    11.23   0.000     .9397348    1.337329
      iwarconpro_PC |   .2052429   .0316349     6.49   0.000     .1432061    .2672796
             state1 |    .154894   .4344146     0.36   0.721    -.6970016     1.00679
             state2 |   -.207613   .4062147    -0.51   0.609    -1.004208    .5889821
             state3 |  -.0160249   .4115146    -0.04   0.969    -.8230132    .7909633
             state4 |   .2793933   .4309491     0.65   0.517    -.5657063    1.124493
             state5 |          0  (omitted)
             state6 |   .5165517    .410576     1.26   0.208     -.288596    1.321699
             state7 |  -.1636632   .5649261    -0.29   0.772    -1.271494     .944168
             state8 |  -.3178572   .3817269    -0.83   0.405    -1.066431    .4307169
             state9 |   .0870099   .3615672     0.24   0.810    -.6220306    .7960504
            state10 |  -.4891457   .3644003    -1.34   0.180    -1.203742    .2254505
            state11 |    .126394   .3676928     0.34   0.731    -.5946589    .8474469
            state12 |  -.2238638   .3684237    -0.61   0.543    -.9463499    .4986223
            state13 |  -.1337836   .3717489    -0.36   0.719    -.8627907    .5952234
            state14 |  -.2038654    .367945    -0.55   0.580    -.9254127     .517682
            state15 |   .1746197   .3827286     0.46   0.648    -.5759187    .9251581
            state16 |  -.1838564   .3719042    -0.49   0.621    -.9131679    .5454551
            state17 |   .1778607   .3791009     0.47   0.639    -.5655636     .921285
            state18 |  -.7819309   .3746606    -2.09   0.037    -1.516648   -.0472141
            state19 |   .3941442   .3748634     1.05   0.293    -.3409703    1.129259
            state20 |    .182732   .3716125     0.49   0.623    -.5460075    .9114715
            state21 |   -.577818   .3762942    -1.54   0.125    -1.315738    .1601023
            state22 |   .1849557   .3803311     0.49   0.627    -.5608811    .9307925
            state23 |  -.1088791   .3709976    -0.29   0.769    -.8364127    .6186545
            state24 |  -.2737783   .3909756    -0.70   0.484    -1.040489    .4929326
            state25 |   1.262388   .3697112     3.41   0.001     .5373767    1.987399
            state26 |  -.1644938    .368118    -0.45   0.655    -.8863805    .5573928
            state27 |  -.5178033   .3947226    -1.31   0.190    -1.291862    .2562556
            state28 |   .4494903   .3745452     1.20   0.230    -.2850004    1.183981
            state29 |  -.1483652   .3709292    -0.40   0.689    -.8757648    .5790344
            state30 |  -.1166621   .3727283    -0.31   0.754    -.8475897    .6142655
            state31 |  -.8056037   .4277025    -1.88   0.060    -1.644337    .0331294
            state32 |   .2303063   .3803585     0.61   0.545    -.5155842    .9761968
            state33 |   1.493746   .3854612     3.88   0.000     .7378495    2.249643
            state34 |  -.2480225   .4131378    -0.60   0.548    -1.058194    .5621489
            state35 |   .0266175   .3940428     0.07   0.946    -.7461082    .7993432
            state36 |  -.2901331   .3851337    -0.75   0.451    -1.045388    .4651218
            state37 |   .6775469    .379183     1.79   0.074    -.0660385    1.421132
            state38 |   .3644665   .3874311     0.94   0.347    -.3952937    1.124227
            state39 |   .6805248   .3843564     1.77   0.077    -.0732057    1.434255
              _cons |  -4.798459   1.076729    -4.46   0.000    -6.909945   -2.686973
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    311.86
       Model |  845653.089        55  15375.5107   Prob > F        =    0.0000
    Residual |  110831.907     2,248  49.3024498   R-squared       =    0.8841
-------------+----------------------------------   Adj R-squared   =    0.8813
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0216

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   2.253921   .3912077     5.76   0.000     1.486755    3.021087
         ww1_vol_sh |    -.93103   .7374711    -1.26   0.207    -2.377225    .5151654
ww1_awards_pop10_is |  -.1109151   1.696827    -0.07   0.948    -3.438426    3.216596
             lpop30 |   2.131523   .2793435     7.63   0.000     1.583725    2.679321
           c30unemp |   4.055542   4.795712     0.85   0.398    -5.348945    13.46003
          c30urban1 |   .1543802   .4302886     0.36   0.720    -.6894243    .9981846
            c30farm |  -7.935311   1.434829    -5.53   0.000    -10.74904   -5.121583
            iYf_T29 |  -.7382931   .3323415    -2.22   0.026    -1.390021   -.0865648
           MEAN9628 |   .6851559   .0159021    43.09   0.000     .6539716    .7163402
             c30men |   98.27771    11.9932     8.19   0.000     74.75881    121.7966
           c30black |   11.92228   1.311273     9.09   0.000     9.350845    14.49371
             c30jap |   42.69073   43.52851     0.98   0.327    -42.66954     128.051
             c30deu |  -71.31411   5.126321   -13.91   0.000    -81.36693   -61.26129
             c30ita |   54.38205   8.963454     6.07   0.000     36.80454    71.95956
             c30vet |  -27.37936   6.324439    -4.33   0.000    -39.78171   -14.97701
           lc40wage |    .985109   .9386349     1.05   0.294    -.8555726    2.825791
      iwarconpro_PC |     .81238   .2929109     2.77   0.006     .2379759    1.386784
             state1 |   1.178504   4.022285     0.29   0.770    -6.709276    9.066284
             state2 |   1.842985    3.76118     0.49   0.624    -5.532764    9.218733
             state3 |   2.899884   3.810252     0.76   0.447    -4.572095    10.37186
             state4 |   5.408579   3.990197     1.36   0.175    -2.416277    13.23343
             state5 |          0  (omitted)
             state6 |   10.36246   3.801561     2.73   0.006     2.907528     17.8174
             state7 |   .6108934   5.230703     0.12   0.907    -9.646618     10.8684
             state8 |   1.493452   3.534445     0.42   0.673    -5.437665    8.424569
             state9 |  -10.03468   3.347784    -3.00   0.003    -16.59976   -3.469612
            state10 |    .906463   3.374016     0.27   0.788    -5.710049    7.522975
            state11 |   4.701052   3.404502     1.38   0.167    -1.975244    11.37735
            state12 |   1.591053   3.411269     0.47   0.641    -5.098512    8.280619
            state13 |   5.070173   3.442058     1.47   0.141    -1.679771    11.82012
            state14 |   .2704952   3.406836     0.08   0.937    -6.410379    6.951369
            state15 |   18.36159    3.54372     5.18   0.000     11.41229     25.3109
            state16 |   9.623978   3.443495     2.79   0.005     2.871216    16.37674
            state17 |   21.56619    3.51013     6.14   0.000     14.68276    28.44963
            state18 |   20.09983   3.469017     5.79   0.000     13.29702    26.90264
            state19 |    15.3461   3.470895     4.42   0.000     8.539606    22.15259
            state20 |   21.82796   3.440795     6.34   0.000      15.0805    28.57543
            state21 |   10.81302   3.484143     3.10   0.002     3.980551     17.6455
            state22 |   17.28263   3.521521     4.91   0.000     10.37685     24.1884
            state23 |   18.39172   3.435101     5.35   0.000     11.65542    25.12802
            state24 |   11.20896   3.620079     3.10   0.002     4.109913    18.30801
            state25 |   19.07255   3.423191     5.57   0.000      12.3596    25.78549
            state26 |   8.442764   3.408438     2.48   0.013     1.758748    15.12678
            state27 |   1.606177   3.654773     0.44   0.660    -5.560906     8.77326
            state28 |   9.190826   3.467949     2.65   0.008     2.390109    15.99154
            state29 |   14.85344   3.434468     4.32   0.000     8.118382     21.5885
            state30 |   3.943677   3.451126     1.14   0.253    -2.824049     10.7114
            state31 |   11.15167   3.960137     2.82   0.005     3.385765    18.91758
            state32 |    11.0344   3.521774     3.13   0.002      4.12813    17.94067
            state33 |   12.34325   3.569021     3.46   0.001     5.344329    19.34217
            state34 |   .9794419   3.825281     0.26   0.798     -6.52201    8.480894
            state35 |   5.878627   3.648479     1.61   0.107    -1.276112    13.03337
            state36 |   6.582285   3.565989     1.85   0.065    -.4106898    13.57526
            state37 |   8.251647   3.510891     2.35   0.019     1.366721    15.13657
            state38 |   12.58831   3.587261     3.51   0.000     5.553626      19.623
            state39 |   16.37528   3.558791     4.60   0.000      9.39642    23.35414
              _cons |  -63.98833   9.969531    -6.42   0.000    -83.53878   -44.43789
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =     72.57
       Model |  2338.23296        56    41.75416   Prob > F        =    0.0000
    Residual |  1292.77656     2,247  .575334475   R-squared       =    0.6440
-------------+----------------------------------   Adj R-squared   =    0.6351
       Total |  3631.00953     2,303   1.5766433   Root MSE        =    .75851

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |  -.0003469   .0022784    -0.15   0.879    -.0048148    .0041211
          iNDEXP_PC |   .2911001   .0425712     6.84   0.000     .2076171    .3745832
         ww1_vol_sh |    .449223   .0796939     5.64   0.000     .2929418    .6055043
ww1_awards_pop10_is |   .5900115   .1833006     3.22   0.001     .2305553    .9494677
             lpop30 |  -.1629516   .0305645    -5.33   0.000    -.2228892    -.103014
           c30unemp |   1.093451   .5181412     2.11   0.035     .0773652    2.109536
          c30urban1 |   .1762184   .0464834     3.79   0.000     .0850635    .2673734
            c30farm |  -.3054579   .1560489    -1.96   0.050    -.6114729     .000557
            iYf_T29 |   .1083764   .0359407     3.02   0.003     .0378959    .1788569
           MEAN9628 |   .0048204   .0023212     2.08   0.038     .0002686    .0093723
             c30men |  -7.140626   1.314778    -5.43   0.000    -9.718933    -4.56232
           c30black |  -1.147972   .1442318    -7.96   0.000    -1.430814   -.8651307
             c30jap |   11.81448   4.703191     2.51   0.012     2.591429    21.03754
             c30deu |   .4276209   .5771176     0.74   0.459    -.7041183     1.55936
             c30ita |  -.6143714   .9761761    -0.63   0.529    -2.528673     1.29993
             c30vet |   3.345018   .6860422     4.88   0.000     1.999676    4.690361
           lc40wage |   1.138874   .1014213    11.23   0.000     .9399845    1.337763
      iwarconpro_PC |   .2055246   .0316959     6.48   0.000     .1433683     .267681
             state1 |   .1553028   .4345173     0.36   0.721    -.6967944      1.0074
             state2 |  -.2069738   .4063247    -0.51   0.611    -1.003785    .5898372
             state3 |  -.0150191    .411657    -0.04   0.971    -.8222869    .7922487
             state4 |   .2812693   .4312188     0.65   0.514    -.5643595    1.126898
             state5 |          0  (omitted)
             state6 |    .520146   .4113434     1.26   0.206    -.2865067    1.326799
             state7 |  -.1634513   .5650505    -0.29   0.772    -1.271527    .9446243
             state8 |  -.3173392   .3818251    -0.83   0.406    -1.066106    .4314276
             state9 |   .0835292   .3623678     0.23   0.818    -.6270813    .7941398
            state10 |  -.4888312   .3644853    -1.34   0.180    -1.203594    .2259318
            state11 |   .1280246   .3679287     0.35   0.728    -.5934909    .8495402
            state12 |  -.2233119   .3685216    -0.61   0.545    -.9459902    .4993663
            state13 |   -.132025   .3720091    -0.35   0.723    -.8615424    .5974925
            state14 |  -.2037715   .3680254    -0.55   0.580    -.9254769    .5179338
            state15 |   .1809886   .3850909     0.47   0.638    -.5741825    .9361597
            state16 |  -.1805182   .3726307    -0.48   0.628    -.9112546    .5502182
            state17 |   .1853412   .3823536     0.48   0.628    -.5644621    .9351444
            state18 |   -.774959   .3775298    -2.05   0.040    -1.515303   -.0346154
            state19 |   .3994672   .3765716     1.06   0.289    -.3389973    1.137932
            state20 |   .1903033   .3750056     0.51   0.612    -.5450904    .9256969
            state21 |  -.5740674   .3771814    -1.52   0.128    -1.313728     .165593
            state22 |   .1909504   .3824462     0.50   0.618    -.5590345    .9409352
            state23 |  -.1024998   .3734367    -0.27   0.784    -.8348166    .6298171
            state24 |  -.2698903   .3918936    -0.69   0.491    -1.038402    .4986209
            state25 |   1.269003    .372336     3.41   0.001     .5388448    1.999162
            state26 |  -.1615654   .3687001    -0.44   0.661    -.8845938     .561463
            state27 |  -.5172461   .3948254    -1.31   0.190    -1.291507    .2570144
            state28 |   .4526782   .3752114     1.21   0.228     -.283119    1.188475
            state29 |  -.1432131   .3725501    -0.38   0.701    -.8737914    .5873652
            state30 |  -.1152942   .3729176    -0.31   0.757    -.8465932    .6160047
            state31 |  -.8017356   .4285493    -1.87   0.062     -1.64213    .0386583
            state32 |   .2341337   .3812709     0.61   0.539    -.5135462    .9818137
            state33 |   1.498028   .3865692     3.88   0.000     .7399577    2.256098
            state34 |  -.2476827   .4132336    -0.60   0.549    -1.058042    .5626767
            state35 |   .0286565   .3943559     0.07   0.942    -.7446835    .8019965
            state36 |    -.28785   .3855093    -0.75   0.455    -1.043841    .4681415
            state37 |   .6804091   .3797311     1.79   0.073    -.0642513     1.42507
            state38 |   .3688329   .3885753     0.95   0.343    -.3931711    1.130837
            state39 |   .6862048   .3862461     1.78   0.076    -.0712317    1.443641
              _cons |  -4.820654   1.086786    -4.44   0.000    -6.951863   -2.689445
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.0007818    .0051371  -.1522      .87903965
Goodman-1 (Aroian)  -.0007818    .00521385  -.1499      .88080687
Goodman-2           -.0007818    .00505918  -.1545      .87719141

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  2.25392   .391208   5.76144    8.3e-09
b coefficient   = -.000347   .002278   -.15224    .878998
Indirect effect = -.000782   .005137  -.152187     .87904
  Direct effect =    .2911   .042571   6.83795    8.0e-12
   Total effect =  .290318   .042251   6.87125    6.4e-12

Proportion of total effect that is mediated:  -.0026929
Ratio of indirect to direct effect:           -.00268567
Ratio of total to direct effect:              .99731433

. 
. preserve

.         clear

.         set obs 3
number of observations (_N) was 0, now 3

.         gen     mediator  = "1940 employment"     if _n == 1
(2 missing values generated)

.         replace mediator  = "1939 wage"           if _n == 2
(1 real change made)

.         replace mediator  = "1940 FDR vote share" if _n == 3
variable mediator was str15 now str19
(1 real change made)

.         gen bond      = ""
(3 missing values generated)

.         gen volunteer = ""
(3 missing values generated)

.         gen medal     = ""
(3 missing values generated)

.         gen pca       = ""
(3 missing values generated)

.         lab var mediator "Mediation variable" 

.         lab var bond "War bonds" 

.         lab var volunteer "Volunteers"

.         lab var medal "Medals"

.         lab var pca "PCA"

.         local i 0

.         foreach mediator in c40emp c40wage FDR40 {
  2.                 local i = `i' + 1
  3.                 foreach outcome in bond volunteer medal pca {
  4.                         replace `outcome' = "``outcome'_`mediator''" if _n == `i'
  5.                 } /* foreach mediator */
  6.         } /* foreach mediator */
variable bond was str1 now str5
(1 real change made)
variable volunteer was str1 now str4
(1 real change made)
variable medal was str1 now str5
(1 real change made)
variable pca was str1 now str5
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable volunteer was str4 now str5
(1 real change made)
variable medal was str5 now str6
(1 real change made)
(1 real change made)

.         texsave using "results/tables/AppTab6A_mediation_tot_grants.tex", replace frag varlab

. restore

. 
. ***************************************************************************************************     
. ****                 Panel B: Agricultural grants                                                      ****
. ***************************************************************************************************     
. use "tmp/patriot", clear 

. foreach mediator in c40emp c40wage FDR40 {
  2.         cap drop state1-state39
  3.         tab stateicpsr if sample_ols == 1 , gen(state)
  4.         macro def controlmediation     "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c
> 30jap c30deu c30ita c30vet lc40wage iwarconpro_PC state1-state48"
  5.         sgmediation iwarbond_1944_PC if sample_ols == 1 , mv(`mediator') iv(iAGRI_PF) cv($controlmediation) 
  6.         local bond_`mediator'      = string(`r(ind2tot)'*100, "%9.1f") + "%"
  7. 
.         drop state1-state48
  8.         tab stateicpsr if sample_ols == 1 & servicecommand != 7, gen(state)
  9.         macro def controlmediation     "ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c
> 30jap c30deu c30ita c30vet lc40wage iwarconpro_PC state1-state39"
 10.         sgmediation ww2_vol_pop40        if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iAGRI_PF) cv($controlmediation) 
 11.         local volunteer_`mediator' = string(`r(ind2tot)'*100, "%9.1f") + "%"
 12.         sgmediation ww2_awards_pop40_is  if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iAGRI_PF) cv($controlmediation) 
 13.         local medal_`mediator'     = string(`r(ind2tot)'*100, "%9.1f") + "%"
 14.         sgmediation pc1                  if sample_ols == 1 & servicecommand != 7, mv( `mediator') iv(iAGRI_PF) cv($controlmediation) 
 15.         local pca_`mediator'       = string(`r(ind2tot)'*100, "%9.1f") + "%"
 16. } /* foreach mediator */

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     93.25
       Model |  923.629691        64  14.4317139   Prob > F        =    0.0000
    Residual |  457.622227     2,957  .154758954   R-squared       =    0.6687
-------------+----------------------------------   Adj R-squared   =    0.6615
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .39339

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0099799    16.33   0.000     .1434123    .1825488
         ww1_vol_sh |  -.0034661   .0345765    -0.10   0.920    -.0712626    .0643305
ww1_awards_pop10_is |   .2278298   .0831325     2.74   0.006     .0648263    .3908333
             lpop30 |  -.0196992    .013951    -1.41   0.158    -.0470539    .0076555
           c30unemp |  -.3969034   .2440982    -1.63   0.104    -.8755231    .0817163
          c30urban1 |   .0341968   .0210282     1.63   0.104    -.0070346    .0754282
            c30farm |  -.5369548   .0724425    -7.41   0.000    -.6789976   -.3949121
            iYf_T29 |   .0545721   .0166525     3.28   0.001     .0219203    .0872238
           MEAN9628 |   .0018992   .0008293     2.29   0.022     .0002732    .0035253
             c30men |  -1.208349   .5949277    -2.03   0.042    -2.374864   -.0418351
           c30black |  -.2788324   .0714697    -3.90   0.000    -.4189678    -.138697
             c30jap |   5.155809   2.311834     2.23   0.026     .6228432    9.688775
             c30deu |   .6686746   .1976222     3.38   0.001     .2811836    1.056166
             c30ita |  -.2307047   .4700352    -0.49   0.624    -1.152334    .6909247
             c30vet |  -.0487409   .2918841    -0.17   0.867    -.6210575    .5235757
           lc40wage |   .4648431   .0474922     9.79   0.000      .371722    .5579642
      iwarconpro_PC |   .2779728   .0148742    18.69   0.000      .248808    .3071375
             state1 |    .287031   .2250839     1.28   0.202    -.1543059    .7283679
             state2 |   .2757996   .2098226     1.31   0.189    -.1356135    .6872126
             state3 |   .1198325   .2128074     0.56   0.573    -.2974332    .5370981
             state4 |   .3190109    .222661     1.43   0.152    -.1175754    .7555972
             state5 |          0  (omitted)
             state6 |   .3502861   .2119629     1.65   0.099    -.0653238    .7658959
             state7 |   .5824237   .2922871     1.99   0.046      .009317     1.15553
             state8 |   .2185364   .1974075     1.11   0.268    -.1685335    .6056064
             state9 |   .3595776   .1868733     1.92   0.054    -.0068372    .7259925
            state10 |   .4071652   .1881589     2.16   0.031     .0382295    .7761009
            state11 |   .3928217   .1888866     2.08   0.038     .0224591    .7631842
            state12 |   .3303061   .1897463     1.74   0.082    -.0417421    .7023542
            state13 |   .3120027   .1907859     1.64   0.102    -.0620838    .6860892
            state14 |   .2857861   .1894011     1.51   0.131    -.0855853    .6571574
            state15 |   .3444698   .1938669     1.78   0.076    -.0356579    .7245975
            state16 |   .8369676   .1908628     4.39   0.000     .4627301    1.211205
            state17 |   .7096892   .1905348     3.72   0.000      .336095    1.083283
            state18 |    .659075   .1932322     3.41   0.001     .2801918    1.037958
            state19 |   .3265948   .1897179     1.72   0.085    -.0453978    .6985874
            state20 |   .8142392   .1919752     4.24   0.000     .4378205    1.190658
            state21 |   .8824097   .1970829     4.48   0.000     .4959761    1.268843
            state22 |   .6571798    .194732     3.37   0.001     .2753557    1.039004
            state23 |   .3863211   .1912362     2.02   0.043     .0113516    .7612906
            state24 |   .3057846   .1950053     1.57   0.117    -.0765753    .6881444
            state25 |  -.0362754   .1928721    -0.19   0.851    -.4144525    .3419018
            state26 |   .3058485    .193271     1.58   0.114    -.0731108    .6848077
            state27 |   .1276781   .1909917     0.67   0.504     -.246812    .5021683
            state28 |   .0555712   .1938985     0.29   0.774    -.3246185    .4357609
            state29 |   .2780324   .1958099     1.42   0.156    -.1059052      .66197
            state30 |   .2163199   .1908977     1.13   0.257     -.157986    .5906258
            state31 |  -.0766394   .2009586    -0.38   0.703    -.4706722    .3173934
            state32 |   .3952222   .1899608     2.08   0.038     .0227535    .7676909
            state33 |   .0397543   .1895755     0.21   0.834     -.331959    .4114677
            state34 |   .2183383   .2035234     1.07   0.283    -.1807235    .6174001
            state35 |   .3993816   .1924575     2.08   0.038     .0220174    .7767458
            state36 |   .1635068    .190763     0.86   0.391    -.2105349    .5375484
            state37 |   .2447334   .1926025     1.27   0.204    -.1329152     .622382
            state38 |   .3572811    .219513     1.63   0.104    -.0731326    .7876949
            state39 |   .4053117    .191517     2.12   0.034     .0297915    .7808319
            state40 |   .4712139   .1955776     2.41   0.016     .0877318    .8546959
            state41 |   .8960502   .1968744     4.55   0.000     .5100255    1.282075
            state42 |   .4633234   .2105341     2.20   0.028     .0505152    .8761316
            state43 |   .1127428   .2022795     0.56   0.577      -.28388    .5093657
            state44 |   .2314546   .1985724     1.17   0.244    -.1578995    .6208086
            state45 |   .6621917   .2066306     3.20   0.001     .2570373    1.067346
            state46 |   .4312538   .1947472     2.21   0.027     .0494001    .8131075
            state47 |   .8728616   .1990322     4.39   0.000     .4826059    1.263117
            state48 |    .749641   .1973084     3.80   0.000     .3627652    1.136517
              _cons |   .9443491   .5036757     1.87   0.061    -.0432414     1.93194
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     47.25
       Model |  2.03530752        64   .03180168   Prob > F        =    0.0000
    Residual |  1.99025436     2,957  .000673065   R-squared       =    0.5056
-------------+----------------------------------   Adj R-squared   =    0.4949
       Total |  4.02556188     3,021  .001332526   Root MSE        =    .02594

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0070641   .0006582    10.73   0.000     .0057737    .0083546
         ww1_vol_sh |  -.0028017   .0022802    -1.23   0.219    -.0072727    .0016693
ww1_awards_pop10_is |  -.0008012   .0054824    -0.15   0.884    -.0115509    .0099485
             lpop30 |  -.0015122     .00092    -1.64   0.100    -.0033161    .0002918
           c30unemp |  -.1464652   .0160978    -9.10   0.000    -.1780292   -.1149013
          c30urban1 |  -.0006012   .0013868    -0.43   0.665    -.0033203     .002118
            c30farm |   .0780874   .0047774    16.35   0.000       .06872    .0874548
            iYf_T29 |   .0013233   .0010982     1.20   0.228      -.00083    .0034766
           MEAN9628 |   .0000315   .0000547     0.58   0.565    -.0000757    .0001387
             c30men |  -.1316579   .0392342    -3.36   0.001    -.2085871   -.0547288
           c30black |   .0229443   .0047133     4.87   0.000     .0137027     .032186
             c30jap |  -.3754293   .1524605    -2.46   0.014    -.6743687   -.0764899
             c30deu |   .0370082   .0130328     2.84   0.005      .011454    .0625624
             c30ita |  -.0536986   .0309978    -1.73   0.083     -.114478    .0070809
             c30vet |   .0152326   .0192491     0.79   0.429    -.0225105    .0529757
           lc40wage |   .0388977    .003132    12.42   0.000     .0327566    .0450388
      iwarconpro_PC |   .0035255   .0009809     3.59   0.000     .0016021    .0054489
             state1 |   .0017046   .0148438     0.11   0.909    -.0274006    .0308098
             state2 |  -.0243502   .0138373    -1.76   0.079     -.051482    .0027816
             state3 |  -.0115276   .0140342    -0.82   0.411    -.0390454    .0159901
             state4 |   .0106907    .014684     0.73   0.467    -.0181013    .0394826
             state5 |          0  (omitted)
             state6 |    .009661   .0139785     0.69   0.490    -.0177476    .0370696
             state7 |   .0017414   .0192757     0.09   0.928    -.0360538    .0395365
             state8 |  -.0063776   .0130186    -0.49   0.624     -.031904    .0191489
             state9 |  -.0088738   .0123239    -0.72   0.472    -.0330381    .0152904
            state10 |  -.0237064   .0124087    -1.91   0.056     -.048037    .0006241
            state11 |   .0027037   .0124567     0.22   0.828    -.0217209    .0271283
            state12 |  -.0095922   .0125134    -0.77   0.443    -.0341279    .0149436
            state13 |  -.0182545   .0125819    -1.45   0.147    -.0429247    .0064157
            state14 |  -.0091358   .0124906    -0.73   0.465    -.0336269    .0153554
            state15 |  -.0093062   .0127851    -0.73   0.467    -.0343748    .0157624
            state16 |  -.0018969    .012587    -0.15   0.880    -.0265771    .0227832
            state17 |  -.0071829   .0125654    -0.57   0.568    -.0318206    .0174549
            state18 |  -.0144253   .0127432    -1.13   0.258    -.0394118    .0105613
            state19 |   .0041109   .0125115     0.33   0.743    -.0204213     .028643
            state20 |  -.0029807   .0126604    -0.24   0.814    -.0278047    .0218433
            state21 |    .002819   .0129972     0.22   0.828    -.0226655    .0283035
            state22 |  -.0170776   .0128422    -1.33   0.184    -.0422581    .0081028
            state23 |   .0062529   .0126116     0.50   0.620    -.0184756    .0309813
            state24 |   .0084506   .0128602     0.66   0.511    -.0167652    .0336664
            state25 |   .0061105   .0127195     0.48   0.631    -.0188294    .0310505
            state26 |   .0201132   .0127458     1.58   0.115    -.0048784    .0451047
            state27 |   .0241093   .0125955     1.91   0.056    -.0005876    .0488061
            state28 |  -.0087464   .0127872    -0.68   0.494    -.0338191    .0163263
            state29 |   .0095315   .0129132     0.74   0.460    -.0157883    .0348514
            state30 |   .0117725   .0125893     0.94   0.350    -.0129121    .0364572
            state31 |   .0164182   .0132528     1.24   0.216    -.0095674    .0424038
            state32 |  -.0074842   .0125275    -0.60   0.550    -.0320478    .0170793
            state33 |  -.0164679   .0125021    -1.32   0.188    -.0409816    .0080458
            state34 |   .0056438   .0134219     0.42   0.674    -.0206734    .0319611
            state35 |  -.0143379   .0126922    -1.13   0.259    -.0392243    .0105484
            state36 |   .0028628   .0125804     0.23   0.820    -.0218044    .0275301
            state37 |  -.0205709   .0127017    -1.62   0.105     -.045476    .0043343
            state38 |  -.0242179   .0144764    -1.67   0.094    -.0526027     .004167
            state39 |    -.02349   .0126301    -1.86   0.063    -.0482547    .0012748
            state40 |  -.0410415   .0128979    -3.18   0.001    -.0663313   -.0157516
            state41 |  -.0364744   .0129834    -2.81   0.005    -.0619319   -.0110169
            state42 |  -.0076729   .0138843    -0.55   0.581    -.0348967    .0195509
            state43 |  -.0420189   .0133399    -3.15   0.002    -.0681753   -.0158624
            state44 |  -.0273649   .0130954    -2.09   0.037     -.053042   -.0016879
            state45 |  -.0220164   .0136268    -1.62   0.106    -.0487354    .0047027
            state46 |  -.0329307   .0128432    -2.56   0.010    -.0581131   -.0077482
            state47 |  -.0050379   .0131257    -0.38   0.701    -.0307745    .0206986
            state48 |  -.0079614   .0130121    -0.61   0.541     -.033475    .0175523
              _cons |   .6826084   .0332163    20.55   0.000     .6174789    .7477379
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     92.94
       Model |  927.440729        65  14.2683189   Prob > F        =    0.0000
    Residual |   453.81119     2,956  .153522053   R-squared       =    0.6714
-------------+----------------------------------   Adj R-squared   =    0.6642
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .39182

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   1.383781   .2777353     4.98   0.000     .8392067    1.928355
           iAGRI_PF |   .1532053   .0101317    15.12   0.000     .1333394    .1730713
         ww1_vol_sh |   .0004109   .0344469     0.01   0.990    -.0671314    .0679532
ww1_awards_pop10_is |   .2289385      .0828     2.76   0.006     .0665871    .3912899
             lpop30 |  -.0176067   .0139015    -1.27   0.205    -.0448643    .0096509
           c30unemp |  -.1942276   .2465005    -0.79   0.431    -.6775575    .2891024
          c30urban1 |   .0350287   .0209447     1.67   0.095    -.0060389    .0760963
            c30farm |  -.6450106   .0753413    -8.56   0.000    -.7927375   -.4972838
            iYf_T29 |    .052741   .0165899     3.18   0.001      .020212    .0852699
           MEAN9628 |   .0018557    .000826     2.25   0.025      .000236    .0034753
             c30men |  -1.026164   .5936726    -1.73   0.084    -2.190217    .1378899
           c30black |  -.3105823   .0714682    -4.35   0.000    -.4507148   -.1704499
             c30jap |   5.675321   2.304936     2.46   0.014     1.155879    10.19476
             c30deu |   .6174633   .1970991     3.13   0.002      .230998    1.003929
             c30ita |  -.1563976   .4683906    -0.33   0.738    -1.074802    .7620071
             c30vet |  -.0698195   .2907461    -0.24   0.810    -.6399049    .5002659
           lc40wage |   .4110172     .04852     8.47   0.000     .3158808    .5061536
      iwarconpro_PC |   .2730942   .0148469    18.39   0.000     .2439829    .3022056
             state1 |   .2846722   .2241831     1.27   0.204    -.1548986    .7242429
             state2 |   .3094949   .2090918     1.48   0.139    -.1004853    .7194751
             state3 |   .1357842   .2119795     0.64   0.522    -.2798581    .5514265
             state4 |   .3042173   .2217893     1.37   0.170    -.1306598    .7390945
             state5 |          0  (omitted)
             state6 |   .3369173   .2111312     1.60   0.111    -.0770618    .7508965
             state7 |    .580014   .2911171     1.99   0.046     .0092013    1.150827
             state8 |   .2273616    .196625     1.16   0.248    -.1581741    .6128973
             state9 |   .3718571   .1861413     2.00   0.046     .0068774    .7368368
            state10 |   .4399697   .1875211     2.35   0.019     .0722846    .8076548
            state11 |   .3890804   .1881318     2.07   0.039     .0201978    .7579629
            state12 |   .3435795   .1890052     1.82   0.069    -.0270157    .7141747
            state13 |   .3372629   .1900895     1.77   0.076    -.0354584    .7099841
            state14 |   .2984279   .1886598     1.58   0.114    -.0714899    .6683458
            state15 |   .3573476   .1931079     1.85   0.064     -.021292    .7359871
            state16 |   .8395926   .1900993     4.42   0.000     .4668521    1.212333
            state17 |   .7196287   .1897823     3.79   0.000     .3475099    1.091748
            state18 |   .6790364   .1925001     3.53   0.000     .3015886    1.056484
            state19 |   .3209063   .1889617     1.70   0.090    -.0496036    .6914161
            state20 |   .8183638   .1912083     4.28   0.000     .4434489    1.193279
            state21 |   .8785089   .1962953     4.48   0.000     .4936195    1.263398
            state22 |   .6808115   .1940103     3.51   0.000     .3004026     1.06122
            state23 |   .3776685   .1904783     1.98   0.047     .0041849    .7511521
            state24 |   .2940908   .1942386     1.51   0.130    -.0867658    .6749474
            state25 |   -.044731   .1921073    -0.23   0.816    -.4214086    .3319466
            state26 |   .2780163   .1925781     1.44   0.149    -.0995845     .655617
            state27 |   .0943162   .1903447     0.50   0.620    -.2789055    .4675379
            state28 |   .0676743   .1931373     0.35   0.726     -.311023    .4463716
            state29 |   .2648428   .1950438     1.36   0.175    -.1175927    .6472783
            state30 |   .2000293   .1901614     1.05   0.293     -.172833    .5728915
            state31 |  -.0993586   .2002058    -0.50   0.620    -.4919155    .2931983
            state32 |   .4055787   .1892115     2.14   0.032      .034579    .7765784
            state33 |   .0625423   .1888718     0.33   0.741    -.3077913    .4328759
            state34 |   .2105285   .2027145     1.04   0.299    -.1869473    .6080043
            state35 |   .4192221   .1917282     2.19   0.029     .0432878    .7951565
            state36 |   .1595453   .1900008     0.84   0.401     -.213002    .5320925
            state37 |    .273199   .1919164     1.42   0.155    -.1031043    .6495022
            state38 |   .3907934   .2187374     1.79   0.074    -.0380997    .8196865
            state39 |   .4378167   .1908617     2.29   0.022     .0635814     .812052
            state40 |   .5280062   .1951277     2.71   0.007     .1454063    .9106062
            state41 |   .9465229   .1963476     4.82   0.000     .5615311    1.331515
            state42 |    .473941   .2097019     2.26   0.024     .0627644    .8851175
            state43 |   .1708877   .2018072     0.85   0.397    -.2248092    .5665847
            state44 |   .2693217   .1979232     1.36   0.174    -.1187596    .6574029
            state45 |   .6926575    .205894     3.36   0.001     .2889473    1.096368
            state46 |   .4768226   .1941829     2.46   0.014     .0960753      .85757
            state47 |    .879833   .1982402     4.44   0.000     .4911302    1.268536
            state48 |   .7606578   .1965308     3.87   0.000     .3753067    1.146009
              _cons |  -.0002313   .5362871    -0.00   1.000    -1.051765    1.051303
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00977522    .00216304   4.519      6.207e-06
Goodman-1 (Aroian)  .00977522    .00217075   4.503      6.695e-06
Goodman-2           .00977522    .0021553   4.535      5.749e-06

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .007064   .000658   10.7333          0
b coefficient   =  1.38378   .277735   4.98237    6.3e-07
Indirect effect =  .009775   .002163   4.51921    6.2e-06
  Direct effect =  .153205   .010132   15.1214          0
   Total effect =  .162981    .00998   16.3309          0

Proportion of total effect that is mediated:  .05997783
Ratio of indirect to direct effect:           .06380469
Ratio of total to direct effect:              1.0638047

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     68.38
       Model |  169.496419        55  3.08175307   Prob > F        =    0.0000
    Residual |   102.44105     2,273  .045068654   R-squared       =    0.6233
-------------+----------------------------------   Adj R-squared   =    0.6142
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21229

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0060107     6.11   0.000     .0249529    .0485271
         ww1_vol_sh |   .1099746   .0220549     4.99   0.000     .0667248    .1532244
ww1_awards_pop10_is |   .1261255   .0512471     2.46   0.014     .0256296    .2266215
             lpop30 |  -.0125949   .0083873    -1.50   0.133    -.0290425    .0038527
           c30unemp |   .6094068   .1438259     4.24   0.000     .3273631    .8914506
          c30urban1 |   .0070253   .0129629     0.54   0.588    -.0183952    .0324457
            c30farm |  -.0861848   .0425092    -2.03   0.043    -.1695456    -.002824
            iYf_T29 |  -.0283905   .0101229    -2.80   0.005    -.0482415   -.0085395
           MEAN9628 |  -.0003738   .0004831    -0.77   0.439    -.0013212    .0005736
             c30men |  -1.264086   .3557157    -3.55   0.000    -1.961648   -.5665248
           c30black |   -.433984   .0392569   -11.05   0.000    -.5109671   -.3570009
             c30jap |    .735138    1.31503     0.56   0.576    -1.843647    3.313923
             c30deu |  -.7111557   .1530907    -4.65   0.000    -1.011368   -.4109435
             c30ita |   -.234159   .2709219    -0.86   0.388    -.7654391    .2971211
             c30vet |   1.116889   .1856414     6.02   0.000     .7528445    1.480933
           lc40wage |   .2101183   .0279249     7.52   0.000     .1553573    .2648793
      iwarconpro_PC |  -.0339349    .008729    -3.89   0.000    -.0510526   -.0168172
             state1 |   .1669829   .1459702     1.14   0.253    -.1192659    .4532317
             state2 |   .1711233   .1343724     1.27   0.203    -.0923821    .4346287
             state3 |   .2009317   .1381726     1.45   0.146    -.0700258    .4718893
             state4 |   .4055992   .1404046     2.89   0.004     .1302646    .6809338
             state5 |     .16234   .1581216     1.03   0.305    -.1477378    .4724178
             state6 |   .4711064   .1358385     3.47   0.001     .2047261    .7374868
             state7 |          0  (omitted)
             state8 |   .0761959   .1331012     0.57   0.567    -.1848166    .3372085
             state9 |   .2171581   .1265667     1.72   0.086    -.0310403    .4653565
            state10 |   -.023964    .125893    -0.19   0.849    -.2708412    .2229132
            state11 |   .1880833   .1256008     1.50   0.134    -.0582209    .4343875
            state12 |   .0863674   .1253765     0.69   0.491     -.159497    .3322317
            state13 |   .1352219   .1261144     1.07   0.284    -.1120896    .3825333
            state14 |   .0768363   .1252357     0.61   0.540    -.1687519    .3224245
            state15 |    .363215   .1284248     2.83   0.005     .1113729    .6150572
            state16 |   .0223894   .1254966     0.18   0.858    -.2237104    .2684892
            state17 |   .2620141   .1270925     2.06   0.039     .0127847    .5112436
            state18 |  -.0590347   .1266359    -0.47   0.641    -.3073687    .1892993
            state19 |   .3862226   .1271276     3.04   0.002     .1369243    .6355208
            state20 |   .3389894   .1257728     2.70   0.007     .0923479    .5856309
            state21 |  -.0153097    .127244    -0.12   0.904    -.2648363    .2342168
            state22 |   .3122675   .1275202     2.45   0.014     .0621994    .5623357
            state23 |   .1547308   .1255828     1.23   0.218    -.0915381    .4009997
            state24 |   .2385746   .1297561     1.84   0.066    -.0158782    .4930275
            state25 |   .6903331   .1252468     5.51   0.000     .4447232    .9359431
            state26 |   .2234668   .1251627     1.79   0.074    -.0219783     .468912
            state27 |  -.1243392   .1311235    -0.95   0.343    -.3814735    .1327951
            state28 |   .3146195   .1266482     2.48   0.013     .0662614    .5629776
            state29 |   .1400839   .1257378     1.11   0.265    -.1064889    .3866567
            state30 |   .2756602   .1267891     2.17   0.030     .0270257    .5242946
            state31 |  -.3237372   .1384486    -2.34   0.019     -.595236   -.0522384
            state32 |    .109005   .1285951     0.85   0.397    -.1431711    .3611811
            state33 |   .3400739    .129019     2.64   0.008     .0870666    .5930812
            state34 |   .0074299   .1370152     0.05   0.957    -.2612581    .2761179
            state35 |   .2587957   .1310422     1.97   0.048     .0018209    .5157704
            state36 |  -.0392465   .1300071    -0.30   0.763    -.2941914    .2156985
            state37 |   .1720315   .1294198     1.33   0.184    -.0817618    .4258247
            state38 |   .0153597   .1296226     0.12   0.906    -.2388312    .2695506
            state39 |   .2214258   .1290404     1.72   0.086    -.0316234     .474475
              _cons |  -.3675607   .3099906    -1.19   0.236    -.9754548    .2403334
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     43.10
       Model |  1.72614405        55  .031384437   Prob > F        =    0.0000
    Residual |  1.65529283     2,273  .000728241   R-squared       =    0.5105
-------------+----------------------------------   Adj R-squared   =    0.4986
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02699

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0070265   .0007641     9.20   0.000     .0055282    .0085248
         ww1_vol_sh |  -.0036232   .0028035    -1.29   0.196     -.009121    .0018745
ww1_awards_pop10_is |   .0026652   .0065143     0.41   0.682    -.0101094    .0154398
             lpop30 |  -.0016967   .0010662    -1.59   0.112    -.0037874    .0003941
           c30unemp |  -.1608918   .0182826    -8.80   0.000    -.1967441   -.1250395
          c30urban1 |   .0007889   .0016478     0.48   0.632    -.0024425    .0040202
            c30farm |   .0767246   .0054036    14.20   0.000     .0661281    .0873211
            iYf_T29 |   .0008733   .0012868     0.68   0.497    -.0016501    .0033966
           MEAN9628 |   .0000637   .0000614     1.04   0.299    -.0000567    .0001842
             c30men |  -.1192459   .0452172    -2.64   0.008    -.2079172   -.0305747
           c30black |   .0225869   .0049902     4.53   0.000     .0128011    .0323726
             c30jap |  -.3287972   .1671614    -1.97   0.049    -.6566021   -.0009922
             c30deu |   .0377144   .0194603     1.94   0.053    -.0004474    .0758762
             c30ita |   -.057767   .0344385    -1.68   0.094    -.1253013    .0097672
             c30vet |   .0150396    .023598     0.64   0.524    -.0312363    .0613155
           lc40wage |   .0375656   .0035497    10.58   0.000     .0306046    .0445266
      iwarconpro_PC |    .004396   .0011096     3.96   0.000     .0022201     .006572
             state1 |   .0002498   .0185552     0.01   0.989     -.036137    .0366366
             state2 |  -.0257084   .0170809    -1.51   0.132    -.0592042    .0077874
             state3 |  -.0120664    .017564    -0.69   0.492    -.0465095    .0223766
             state4 |   .0094697   .0178477     0.53   0.596    -.0255297    .0444691
             state5 |  -.0009348   .0200998    -0.05   0.963    -.0403507    .0384811
             state6 |   .0092092   .0172673     0.53   0.594     -.024652    .0430704
             state7 |          0  (omitted)
             state8 |  -.0071518   .0169193    -0.42   0.673    -.0403307    .0260271
             state9 |  -.0100361   .0160887    -0.62   0.533    -.0415861    .0215139
            state10 |  -.0248316    .016003    -1.55   0.121    -.0562137    .0065504
            state11 |   .0013899   .0159659     0.09   0.931    -.0299193    .0326991
            state12 |  -.0112189   .0159374    -0.70   0.482    -.0424722    .0200344
            state13 |  -.0193663   .0160312    -1.21   0.227    -.0508036     .012071
            state14 |   -.010563   .0159195    -0.66   0.507    -.0417812    .0206552
            state15 |  -.0105061   .0163249    -0.64   0.520    -.0425193     .021507
            state16 |   .0040848   .0159526     0.26   0.798    -.0271984    .0353681
            state17 |   .0057548   .0161555     0.36   0.722    -.0259263    .0374358
            state18 |   .0037447   .0160975     0.23   0.816    -.0278225     .035312
            state19 |   .0174832     .01616     1.08   0.279    -.0142066     .049173
            state20 |   .0214874   .0159877     1.34   0.179    -.0098647    .0528395
            state21 |  -.0114847   .0161748    -0.71   0.478    -.0432035    .0202341
            state22 |    .006678   .0162099     0.41   0.680    -.0251097    .0384656
            state23 |   .0095451   .0159636     0.60   0.550    -.0217596    .0408499
            state24 |   .0129093   .0164941     0.78   0.434    -.0194357    .0452543
            state25 |   -.010455   .0159209    -0.66   0.511    -.0416759     .020766
            state26 |  -.0182786   .0159102    -1.15   0.251    -.0494786    .0129214
            state27 |   .0036241   .0166679     0.22   0.828    -.0290618      .03631
            state28 |   -.016308    .016099    -1.01   0.311    -.0478783    .0152623
            state29 |    .000713   .0159833     0.04   0.964    -.0306304    .0320563
            state30 |  -.0220024   .0161169    -1.37   0.172    -.0536078    .0096031
            state31 |  -.0267999    .017599    -1.52   0.128    -.0613117     .007712
            state32 |   -.042921   .0163465    -2.63   0.009    -.0749766   -.0108653
            state33 |  -.0387495   .0164004    -2.36   0.018    -.0709108   -.0065882
            state34 |  -.0104575   .0174168    -0.60   0.548     -.044612    .0236971
            state35 |  -.0444422   .0166576    -2.67   0.008    -.0771078   -.0117766
            state36 |  -.0294819    .016526    -1.78   0.075    -.0618895    .0029257
            state37 |  -.0352462   .0164513    -2.14   0.032    -.0675074    -.002985
            state38 |  -.0065192   .0164771    -0.40   0.692    -.0388309    .0257926
            state39 |  -.0095588   .0164031    -0.58   0.560    -.0417254    .0226078
              _cons |   .6891879   .0394048    17.49   0.000     .6119149     .766461
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     67.49
       Model |  169.842732        56  3.03290592   Prob > F        =    0.0000
    Residual |  102.094738     2,272  .044936064   R-squared       =    0.6246
-------------+----------------------------------   Adj R-squared   =    0.6153
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21198

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |  -.4574007   .1647632    -2.78   0.006    -.7805027   -.1342987
           iAGRI_PF |   .0399539   .0061125     6.54   0.000     .0279672    .0519406
         ww1_vol_sh |   .1083173   .0220305     4.92   0.000     .0651153    .1515193
ww1_awards_pop10_is |   .1273446   .0511735     2.49   0.013     .0269929    .2276963
             lpop30 |  -.0133709   .0083796    -1.60   0.111    -.0298035    .0030616
           c30unemp |   .5358148   .1460403     3.67   0.000     .2494286     .822201
          c30urban1 |   .0073861   .0129445     0.57   0.568    -.0179982    .0327704
            c30farm |  -.0510909    .044289    -1.15   0.249    -.1379421    .0357603
            iYf_T29 |  -.0279911    .010109    -2.77   0.006    -.0478149   -.0081672
           MEAN9628 |  -.0003446   .0004825    -0.71   0.475    -.0012909    .0006016
             c30men |  -1.318629   .3557351    -3.71   0.000    -2.016229   -.6210299
           c30black |  -.4236528   .0393754   -10.76   0.000    -.5008682   -.3464373
             c30jap |   .5847459   1.314211     0.44   0.656    -1.992434    3.161926
             c30deu |  -.6939051   .1529916    -4.54   0.000     -.993923   -.3938872
             c30ita |  -.2605817   .2706905    -0.96   0.336    -.7914081    .2702447
             c30vet |   1.123768   .1853847     6.06   0.000     .7602269    1.487309
           lc40wage |   .2273008   .0285625     7.96   0.000     .1712895    .2833121
      iwarconpro_PC |  -.0319242   .0087462    -3.65   0.000    -.0490756   -.0147728
             state1 |   .1670972   .1457554     1.15   0.252    -.1187304    .4529247
             state2 |   .1593643   .1342414     1.19   0.235    -.1038843    .4226129
             state3 |   .1954125   .1379835     1.42   0.157    -.0751743    .4659994
             state4 |   .4099306   .1402066     2.92   0.003     .1349842     .684877
             state5 |   .1619124   .1578889     1.03   0.305    -.1477092     .471534
             state6 |   .4753187    .135647     3.50   0.000     .2093138    .7413237
             state7 |          0  (omitted)
             state8 |   .0729247   .1329105     0.55   0.583    -.1877139    .3335633
             state9 |   .2125675   .1263912     1.68   0.093    -.0352868    .4604219
            state10 |   -.035322   .1257742    -0.28   0.779    -.2819663    .2113224
            state11 |   .1887191   .1254161     1.50   0.133     -.057223    .4346612
            state12 |   .0812358   .1252056     0.65   0.517    -.1642934    .3267651
            state13 |   .1263637   .1259692     1.00   0.316     -.120663    .3733904
            state14 |   .0720048   .1250634     0.58   0.565    -.1732457    .3172553
            state15 |   .3584095   .1282475     2.79   0.005     .1069152    .6099039
            state16 |   .0242578   .1253136     0.19   0.847    -.2214833    .2699989
            state17 |   .2646464    .126909     2.09   0.037     .0157768     .513516
            state18 |  -.0573219    .126451    -0.45   0.650    -.3052933    .1906496
            state19 |   .3942194   .1269731     3.10   0.002      .145224    .6432148
            state20 |   .3488178   .1256375     2.78   0.006     .1024415    .5951941
            state21 |  -.0205628   .1270708    -0.16   0.871    -.2697497    .2286241
            state22 |   .3153221   .1273372     2.48   0.013     .0656127    .5650314
            state23 |   .1590967   .1254078     1.27   0.205     -.086829    .4050225
            state24 |   .2444794   .1295826     1.89   0.059    -.0096332    .4985919
            state25 |    .685551   .1250743     5.48   0.000     .4402793    .9308227
            state26 |   .2151062   .1250148     1.72   0.085    -.0300488    .4602612
            state27 |  -.1226815   .1309319    -0.94   0.349      -.37944     .134077
            state28 |   .3071602   .1264903     2.43   0.015     .0591117    .5552087
            state29 |     .14041   .1255527     1.12   0.264       -.1058    .3866201
            state30 |   .2655963   .1266544     2.10   0.036      .017226    .5139666
            state31 |  -.3359955   .1383153    -2.43   0.015    -.6072329    -.064758
            state32 |   .0893729   .1286004     0.69   0.487    -.1628136    .3415595
            state33 |   .3223499   .1289872     2.50   0.013     .0694049    .5752948
            state34 |   .0026466   .1368244     0.02   0.985    -.2656671    .2709604
            state35 |   .2384678    .131054     1.82   0.069    -.0185302    .4954658
            state36 |  -.0527315   .1299066    -0.41   0.685    -.3074794    .2020164
            state37 |   .1559098   .1293597     1.21   0.228    -.0977656    .4095853
            state38 |   .0123778   .1294362     0.10   0.924    -.2414477    .2662034
            state39 |   .2170535     .12886     1.68   0.092    -.0356421    .4697492
              _cons |  -.0523256   .3297055    -0.16   0.874    -.6988809    .5942296
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00321392    .00120931  -2.658      .00786862
Goodman-1 (Aroian)  -.00321392    .00121584  -2.643      .00820849
Goodman-2           -.00321392    .00120274  -2.672      .00753615

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .007026   .000764   9.19622          0
b coefficient   = -.457401   .164763  -2.77611    .005501
Indirect effect = -.003214   .001209  -2.65766    .007869
  Direct effect =  .039954   .006113   6.53639    6.3e-11
   Total effect =   .03674   .006011   6.11238    9.8e-10

Proportion of total effect that is mediated:  -.08747747
Ratio of indirect to direct effect:           -.08044072
Ratio of total to direct effect:              .91955928

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =      9.52
       Model |  7.10013307        55  .129093329   Prob > F        =    0.0000
    Residual |  30.8266221     2,273  .013562086   R-squared       =    0.1872
-------------+----------------------------------   Adj R-squared   =    0.1675
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11646

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0032973     3.99   0.000     .0067052    .0196372
         ww1_vol_sh |   .0564202   .0120985     4.66   0.000      .032695    .0801455
ww1_awards_pop10_is |   .0349864   .0281122     1.24   0.213    -.0201419    .0901146
             lpop30 |  -.0173645    .004601    -3.77   0.000     -.026387    -.008342
           c30unemp |   .1527126   .0788975     1.94   0.053     -.002006    .3074312
          c30urban1 |   .0057236    .007111     0.80   0.421    -.0082211    .0196683
            c30farm |     .02803   .0233189     1.20   0.229    -.0176986    .0737586
            iYf_T29 |   .0128969    .005553     2.32   0.020     .0020073    .0237864
           MEAN9628 |  -.0000696    .000265    -0.26   0.793    -.0005894    .0004501
             c30men |  -.5458902   .1951322    -2.80   0.005    -.9285461   -.1632343
           c30black |  -.0502053   .0215349    -2.33   0.020    -.0924353   -.0079753
             c30jap |   .8842438   .7213759     1.23   0.220    -.5303804    2.298868
             c30deu |   .0555887   .0839798     0.66   0.508    -.1090964    .2202738
             c30ita |  -.0096405   .1486176    -0.06   0.948    -.3010808    .2817997
             c30vet |   .2707406   .1018359     2.66   0.008     .0710396    .4704415
           lc40wage |   .0564545   .0153186     3.69   0.000     .0264147    .0864943
      iwarconpro_PC |   .0048563   .0047884     1.01   0.311    -.0045338    .0142465
             state1 |   .0441544   .0800738     0.55   0.581    -.1128709    .2011797
             state2 |   .0191706   .0737116     0.26   0.795    -.1253786    .1637197
             state3 |   .0415608   .0757963     0.55   0.584    -.1070763    .1901979
             state4 |   .0182641   .0770207     0.24   0.813    -.1327741    .1693023
             state5 |   .1026876   .0867396     1.18   0.237    -.0674093    .2727846
             state6 |   .0204055   .0745159     0.27   0.784    -.1257207    .1665318
             state7 |          0  (omitted)
             state8 |   .0073859   .0730143     0.10   0.919    -.1357957    .1505676
             state9 |   .0401164   .0694297     0.58   0.563    -.0960359    .1762686
            state10 |    .015048   .0690602     0.22   0.828    -.1203795    .1504755
            state11 |   .0005425   .0688999     0.01   0.994    -.1345707    .1356557
            state12 |  -.0226274   .0687768    -0.33   0.742    -.1574993    .1122445
            state13 |    .006592   .0691816     0.10   0.924    -.1290737    .1422578
            state14 |   .0215456   .0686996     0.31   0.754    -.1131748    .1562661
            state15 |   -.029967    .070449    -0.43   0.671    -.1681181     .108184
            state16 |   .0224595   .0688427     0.33   0.744    -.1125415    .1574606
            state17 |   .0158655   .0697182     0.23   0.820    -.1208524    .1525834
            state18 |   .0037092   .0694677     0.05   0.957    -.1325174    .1399359
            state19 |   .0537689   .0697374     0.77   0.441    -.0829868    .1905245
            state20 |   .0059345   .0689942     0.09   0.931    -.1293638    .1412327
            state21 |   .0129237   .0698013     0.19   0.853    -.1239572    .1498045
            state22 |    .044283   .0699528     0.63   0.527    -.0928949    .1814609
            state23 |   .0046138     .06889     0.07   0.947    -.1304801    .1397076
            state24 |   .0205579   .0711793     0.29   0.773    -.1190253    .1601412
            state25 |   .0455188   .0687057     0.66   0.508    -.0892136    .1802511
            state26 |   .0154238   .0686596     0.22   0.822    -.1192181    .1500658
            state27 |   .0161666   .0719294     0.22   0.822    -.1248875    .1572208
            state28 |   .0308503   .0694744     0.44   0.657    -.1053896    .1670902
            state29 |   .0137631    .068975     0.20   0.842    -.1214974    .1490237
            state30 |   .0296061   .0695517     0.43   0.670    -.1067854    .1659976
            state31 |   .0724468   .0759477     0.95   0.340    -.0764872    .2213808
            state32 |   .0515447   .0705424     0.73   0.465    -.0867896     .189879
            state33 |    .162568    .070775     2.30   0.022     .0237778    .3013583
            state34 |   .0546338   .0751614     0.73   0.467    -.0927583    .2020259
            state35 |   .0390813   .0718848     0.54   0.587    -.1018854     .180048
            state36 |   .0553073    .071317     0.78   0.438    -.0845459    .1951605
            state37 |   .1101874   .0709948     1.55   0.121     -.029034    .2494088
            state38 |   .0312354   .0711061     0.44   0.661    -.1082042    .1706749
            state39 |   .0718232   .0707867     1.01   0.310      -.06699    .2106365
              _cons |   .0095013   .1700491     0.06   0.955    -.3239665    .3429691
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     43.10
       Model |  1.72614405        55  .031384437   Prob > F        =    0.0000
    Residual |  1.65529283     2,273  .000728241   R-squared       =    0.5105
-------------+----------------------------------   Adj R-squared   =    0.4986
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02699

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0070265   .0007641     9.20   0.000     .0055282    .0085248
         ww1_vol_sh |  -.0036232   .0028035    -1.29   0.196     -.009121    .0018745
ww1_awards_pop10_is |   .0026652   .0065143     0.41   0.682    -.0101094    .0154398
             lpop30 |  -.0016967   .0010662    -1.59   0.112    -.0037874    .0003941
           c30unemp |  -.1608918   .0182826    -8.80   0.000    -.1967441   -.1250395
          c30urban1 |   .0007889   .0016478     0.48   0.632    -.0024425    .0040202
            c30farm |   .0767246   .0054036    14.20   0.000     .0661281    .0873211
            iYf_T29 |   .0008733   .0012868     0.68   0.497    -.0016501    .0033966
           MEAN9628 |   .0000637   .0000614     1.04   0.299    -.0000567    .0001842
             c30men |  -.1192459   .0452172    -2.64   0.008    -.2079172   -.0305747
           c30black |   .0225869   .0049902     4.53   0.000     .0128011    .0323726
             c30jap |  -.3287972   .1671614    -1.97   0.049    -.6566021   -.0009922
             c30deu |   .0377144   .0194603     1.94   0.053    -.0004474    .0758762
             c30ita |   -.057767   .0344385    -1.68   0.094    -.1253013    .0097672
             c30vet |   .0150396    .023598     0.64   0.524    -.0312363    .0613155
           lc40wage |   .0375656   .0035497    10.58   0.000     .0306046    .0445266
      iwarconpro_PC |    .004396   .0011096     3.96   0.000     .0022201     .006572
             state1 |   .0002498   .0185552     0.01   0.989     -.036137    .0366366
             state2 |  -.0257084   .0170809    -1.51   0.132    -.0592042    .0077874
             state3 |  -.0120664    .017564    -0.69   0.492    -.0465095    .0223766
             state4 |   .0094697   .0178477     0.53   0.596    -.0255297    .0444691
             state5 |  -.0009348   .0200998    -0.05   0.963    -.0403507    .0384811
             state6 |   .0092092   .0172673     0.53   0.594     -.024652    .0430704
             state7 |          0  (omitted)
             state8 |  -.0071518   .0169193    -0.42   0.673    -.0403307    .0260271
             state9 |  -.0100361   .0160887    -0.62   0.533    -.0415861    .0215139
            state10 |  -.0248316    .016003    -1.55   0.121    -.0562137    .0065504
            state11 |   .0013899   .0159659     0.09   0.931    -.0299193    .0326991
            state12 |  -.0112189   .0159374    -0.70   0.482    -.0424722    .0200344
            state13 |  -.0193663   .0160312    -1.21   0.227    -.0508036     .012071
            state14 |   -.010563   .0159195    -0.66   0.507    -.0417812    .0206552
            state15 |  -.0105061   .0163249    -0.64   0.520    -.0425193     .021507
            state16 |   .0040848   .0159526     0.26   0.798    -.0271984    .0353681
            state17 |   .0057548   .0161555     0.36   0.722    -.0259263    .0374358
            state18 |   .0037447   .0160975     0.23   0.816    -.0278225     .035312
            state19 |   .0174832     .01616     1.08   0.279    -.0142066     .049173
            state20 |   .0214874   .0159877     1.34   0.179    -.0098647    .0528395
            state21 |  -.0114847   .0161748    -0.71   0.478    -.0432035    .0202341
            state22 |    .006678   .0162099     0.41   0.680    -.0251097    .0384656
            state23 |   .0095451   .0159636     0.60   0.550    -.0217596    .0408499
            state24 |   .0129093   .0164941     0.78   0.434    -.0194357    .0452543
            state25 |   -.010455   .0159209    -0.66   0.511    -.0416759     .020766
            state26 |  -.0182786   .0159102    -1.15   0.251    -.0494786    .0129214
            state27 |   .0036241   .0166679     0.22   0.828    -.0290618      .03631
            state28 |   -.016308    .016099    -1.01   0.311    -.0478783    .0152623
            state29 |    .000713   .0159833     0.04   0.964    -.0306304    .0320563
            state30 |  -.0220024   .0161169    -1.37   0.172    -.0536078    .0096031
            state31 |  -.0267999    .017599    -1.52   0.128    -.0613117     .007712
            state32 |   -.042921   .0163465    -2.63   0.009    -.0749766   -.0108653
            state33 |  -.0387495   .0164004    -2.36   0.018    -.0709108   -.0065882
            state34 |  -.0104575   .0174168    -0.60   0.548     -.044612    .0236971
            state35 |  -.0444422   .0166576    -2.67   0.008    -.0771078   -.0117766
            state36 |  -.0294819    .016526    -1.78   0.075    -.0618895    .0029257
            state37 |  -.0352462   .0164513    -2.14   0.032    -.0675074    -.002985
            state38 |  -.0065192   .0164771    -0.40   0.692    -.0388309    .0257926
            state39 |  -.0095588   .0164031    -0.58   0.560    -.0417254    .0226078
              _cons |   .6891879   .0394048    17.49   0.000     .6119149     .766461
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.35
       Model |  7.10510521        56  .126876879   Prob > F        =    0.0000
    Residual |    30.82165     2,272  .013565867   R-squared       =    0.1873
-------------+----------------------------------   Adj R-squared   =    0.1673
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11647

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   .0548067   .0905287     0.61   0.545    -.1227209    .2323343
           iAGRI_PF |   .0127861   .0033585     3.81   0.000        .0062    .0193722
         ww1_vol_sh |   .0566188   .0121046     4.68   0.000     .0328816    .0803561
ww1_awards_pop10_is |   .0348403   .0281172     1.24   0.215    -.0202977    .0899783
             lpop30 |  -.0172715   .0046042    -3.75   0.000    -.0263003   -.0082427
           c30unemp |   .1615305   .0802415     2.01   0.044     .0041763    .3188848
          c30urban1 |   .0056804   .0071123     0.80   0.425    -.0082669    .0196277
            c30farm |   .0238249   .0243345     0.98   0.328    -.0238952    .0715451
            iYf_T29 |    .012849   .0055544     2.31   0.021     .0019569    .0237411
           MEAN9628 |  -.0000731   .0002651    -0.28   0.783     -.000593    .0004468
             c30men |  -.5393547   .1954578    -2.76   0.006    -.9226491   -.1560603
           c30black |  -.0514432   .0216347    -2.38   0.017    -.0938691   -.0090174
             c30jap |   .9022641   .7220902     1.25   0.212    -.5137611    2.318289
             c30deu |   .0535217   .0840609     0.64   0.524    -.1113224    .2183658
             c30ita |  -.0064745   .1487302    -0.04   0.965    -.2981358    .2851868
             c30vet |   .2699163   .1018592     2.65   0.008     .0701696     .469663
           lc40wage |   .0543957   .0156936     3.47   0.001     .0236204    .0851709
      iwarconpro_PC |   .0046154   .0048056     0.96   0.337    -.0048084    .0140392
             state1 |   .0441407   .0800849     0.55   0.582    -.1129065     .201188
             state2 |   .0205796   .0737586     0.28   0.780    -.1240618    .1652209
             state3 |   .0422221   .0758147     0.56   0.578    -.1064512    .1908954
             state4 |   .0177451   .0770362     0.23   0.818    -.1333235    .1688137
             state5 |   .1027389   .0867517     1.18   0.236    -.0673819    .2728597
             state6 |   .0199008   .0745309     0.27   0.789     -.126255    .1660566
             state7 |          0  (omitted)
             state8 |   .0077779   .0730273     0.11   0.915    -.1354294    .1509852
             state9 |   .0406664   .0694454     0.59   0.558    -.0955165    .1768494
            state10 |   .0164089   .0691064     0.24   0.812    -.1191092    .1519271
            state11 |   .0004663   .0689096     0.01   0.995     -.134666    .1355986
            state12 |  -.0220125   .0687939    -0.32   0.749     -.156918    .1128929
            state13 |   .0076534   .0692135     0.11   0.912    -.1280748    .1433817
            state14 |   .0221246   .0687158     0.32   0.748    -.1126277    .1568768
            state15 |  -.0293912   .0704653    -0.42   0.677    -.1675742    .1087917
            state16 |   .0222357   .0688533     0.32   0.747    -.1127862    .1572575
            state17 |   .0155501   .0697298     0.22   0.824    -.1211907    .1522909
            state18 |    .003504   .0694782     0.05   0.960    -.1327433    .1397513
            state19 |   .0528107   .0697651     0.76   0.449    -.0839993    .1896206
            state20 |   .0047568   .0690312     0.07   0.945    -.1306141    .1401277
            state21 |   .0135531   .0698187     0.19   0.846     -.123362    .1504682
            state22 |    .043917   .0699651     0.63   0.530    -.0932852    .1811192
            state23 |   .0040906    .068905     0.06   0.953    -.1310327    .1392139
            state24 |   .0198504   .0711988     0.28   0.780    -.1197711    .1594719
            state25 |   .0460918   .0687218     0.67   0.502    -.0886722    .1808557
            state26 |   .0164256   .0686891     0.24   0.811    -.1182742    .1511255
            state27 |    .015968   .0719402     0.22   0.824    -.1251073    .1570434
            state28 |   .0317441   .0694998     0.46   0.648    -.1045456    .1680337
            state29 |   .0137241   .0689847     0.20   0.842    -.1215554    .1490036
            state30 |    .030812   .0695899     0.44   0.658    -.1056545    .1672785
            state31 |   .0739156    .075997     0.97   0.331    -.0751151    .2229464
            state32 |   .0538971   .0706592     0.76   0.446    -.0846662    .1924603
            state33 |   .1646918   .0708717     2.32   0.020     .0257118    .3036718
            state34 |   .0552069   .0751778     0.73   0.463    -.0922174    .2026313
            state35 |    .041517   .0720073     0.58   0.564    -.0996899     .182724
            state36 |   .0569231   .0713768     0.80   0.425    -.0830475    .1968937
            state37 |   .1121191   .0710764     1.58   0.115    -.0272622    .2515005
            state38 |   .0315927   .0711184     0.44   0.657    -.1078711    .1710565
            state39 |   .0723471   .0708018     1.02   0.307    -.0664959    .2111901
              _cons |  -.0282708   .1811559    -0.16   0.876    -.3835191    .3269774
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .0003851    .00063748   .6041      .54577742
Goodman-1 (Aroian)  .0003851    .00064122   .6006      .5481234
Goodman-2           .0003851    .00063371   .6077      .54339477

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .007026   .000764   9.19622          0
b coefficient   =  .054807   .090529   .605407    .544908
Indirect effect =  .000385   .000637     .6041    .545777
  Direct effect =  .012786   .003359   3.80706    .000141
   Total effect =  .013171   .003297   3.99458    .000065

Proportion of total effect that is mediated:  .02923797
Ratio of indirect to direct effect:           .03011857
Ratio of total to direct effect:              1.0301186

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     77.81
       Model |  2401.94888        55  43.6717978   Prob > F        =    0.0000
    Residual |  1275.78955     2,273  .561280049   R-squared       =    0.6531
-------------+----------------------------------   Adj R-squared   =    0.6447
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .74919

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995    .021212    11.00   0.000     .1918026    .2749963
         ww1_vol_sh |   .4505476   .0778318     5.79   0.000     .2979187    .6031765
ww1_awards_pop10_is |   .5719262   .1808513     3.16   0.002     .2172753     .926577
             lpop30 |  -.1484064   .0295989    -5.01   0.000    -.2064501   -.0903628
           c30unemp |   1.605957   .5075626     3.16   0.002     .6106231    2.601292
          c30urban1 |   .1167555   .0457463     2.55   0.011     .0270466    .2064644
            c30farm |  -.4338444   .1500151    -2.89   0.004    -.7280253   -.1396635
            iYf_T29 |   .0609448   .0357237     1.71   0.088    -.0091096    .1309992
           MEAN9628 |   .0022342    .001705     1.31   0.190    -.0011093    .0055777
             c30men |  -6.462308   1.255323    -5.15   0.000    -8.924007   -4.000609
           c30black |  -1.176993   .1385379    -8.50   0.000    -1.448667   -.9053188
             c30jap |   11.08854    4.64075     2.39   0.017     1.987988    20.18909
             c30deu |  -.0658039   .5402583    -0.12   0.903    -1.125255     .993647
             c30ita |  -.4954921   .9560853    -0.52   0.604    -2.370383    1.379399
             c30vet |   3.894608   .6551297     5.94   0.000     2.609893    5.179323
           lc40wage |   1.038707   .0985472    10.54   0.000     .8454553    1.231959
      iwarconpro_PC |   .2327704   .0308048     7.56   0.000     .1723619    .2931789
             state1 |   .1571952   .5151299     0.31   0.760    -.8529789    1.167369
             state2 |   .0429352   .4742012     0.09   0.928    -.8869772    .9728476
             state3 |   .0801413    .487612     0.16   0.869    -.8760698    1.036352
             state4 |   .4654808   .4954888     0.94   0.348    -.5061769    1.437138
             state5 |   .0963265   .5580123     0.17   0.863    -.9979403    1.190593
             state6 |   .6521373   .4793749     1.36   0.174    -.2879209    1.592195
             state7 |          0  (omitted)
             state8 |  -.2085551   .4697151    -0.44   0.657     -1.12967    .7125599
             state9 |    .292808   .4466549     0.66   0.512    -.5830859    1.168702
            state10 |  -.1652436   .4442773    -0.37   0.710    -1.036475    .7059878
            state11 |   .1321307   .4432461     0.30   0.766    -.7370785     1.00134
            state12 |  -.2081895   .4424545    -0.47   0.638    -1.075846    .6594675
            state13 |  -.0021323   .4450587    -0.00   0.996     -.874896    .8706315
            state14 |  -.0780199   .4419576    -0.18   0.860    -.9447023    .7886625
            state15 |   .2321719   .4532121     0.51   0.609    -.6565807    1.120924
            state16 |  -.0857693   .4428783    -0.19   0.846    -.9542573    .7827186
            state17 |   .2339259   .4485104     0.52   0.602    -.6456066    1.113458
            state18 |  -.6721801   .4468989    -1.50   0.133    -1.548552    .2041923
            state19 |   .5582751   .4486342     1.24   0.213    -.3215002     1.43805
            state20 |   .1555687   .4438531     0.35   0.726    -.7148308    1.025968
            state21 |  -.4975028    .449045    -1.11   0.268    -1.378084    .3830781
            state22 |   .3674748   .4500196     0.82   0.414    -.5150172    1.249967
            state23 |  -.0757363   .4431825    -0.17   0.864    -.9448209    .7933483
            state24 |   -.171164   .4579103    -0.37   0.709     -1.06913    .7268018
            state25 |   1.156146   .4419967     2.62   0.009     .2893863    2.022905
            state26 |  -.0455872   .4417001    -0.10   0.918    -.9117648    .8205904
            state27 |  -.4871765   .4627358    -1.05   0.293    -1.394605    .4202522
            state28 |    .483838   .4469422     1.08   0.279    -.3926194    1.360295
            state29 |   -.092698   .4437295    -0.21   0.835    -.9628552    .7774592
            state30 |   .2411078   .4474396     0.54   0.590     -.636325    1.118541
            state31 |  -.4828558   .4885859    -0.99   0.323    -1.440977    .4752652
            state32 |   .2658351   .4538132     0.59   0.558    -.6240963    1.155766
            state33 |   1.522315   .4553089     3.34   0.001     .6294502    2.415179
            state34 |   .0826787   .4835277     0.17   0.864     -.865523     1.03088
            state35 |   .1598769   .4624487     0.35   0.730    -.7469888    1.066743
            state36 |  -.1803996   .4587959    -0.39   0.694    -1.080102     .719303
            state37 |   .5860987   .4567233     1.28   0.200    -.3095394    1.481737
            state38 |    .357256   .4574389     0.78   0.435    -.5397855    1.254297
            state39 |   .7876084   .4553843     1.73   0.084     -.105404    1.680621
              _cons |  -4.390309   1.093959    -4.01   0.000    -6.535572   -2.245047
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     43.10
       Model |  1.72614405        55  .031384437   Prob > F        =    0.0000
    Residual |  1.65529283     2,273  .000728241   R-squared       =    0.5105
-------------+----------------------------------   Adj R-squared   =    0.4986
       Total |  3.38143687     2,328  .001452507   Root MSE        =    .02699

-------------------------------------------------------------------------------------
             c40emp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0070265   .0007641     9.20   0.000     .0055282    .0085248
         ww1_vol_sh |  -.0036232   .0028035    -1.29   0.196     -.009121    .0018745
ww1_awards_pop10_is |   .0026652   .0065143     0.41   0.682    -.0101094    .0154398
             lpop30 |  -.0016967   .0010662    -1.59   0.112    -.0037874    .0003941
           c30unemp |  -.1608918   .0182826    -8.80   0.000    -.1967441   -.1250395
          c30urban1 |   .0007889   .0016478     0.48   0.632    -.0024425    .0040202
            c30farm |   .0767246   .0054036    14.20   0.000     .0661281    .0873211
            iYf_T29 |   .0008733   .0012868     0.68   0.497    -.0016501    .0033966
           MEAN9628 |   .0000637   .0000614     1.04   0.299    -.0000567    .0001842
             c30men |  -.1192459   .0452172    -2.64   0.008    -.2079172   -.0305747
           c30black |   .0225869   .0049902     4.53   0.000     .0128011    .0323726
             c30jap |  -.3287972   .1671614    -1.97   0.049    -.6566021   -.0009922
             c30deu |   .0377144   .0194603     1.94   0.053    -.0004474    .0758762
             c30ita |   -.057767   .0344385    -1.68   0.094    -.1253013    .0097672
             c30vet |   .0150396    .023598     0.64   0.524    -.0312363    .0613155
           lc40wage |   .0375656   .0035497    10.58   0.000     .0306046    .0445266
      iwarconpro_PC |    .004396   .0011096     3.96   0.000     .0022201     .006572
             state1 |   .0002498   .0185552     0.01   0.989     -.036137    .0366366
             state2 |  -.0257084   .0170809    -1.51   0.132    -.0592042    .0077874
             state3 |  -.0120664    .017564    -0.69   0.492    -.0465095    .0223766
             state4 |   .0094697   .0178477     0.53   0.596    -.0255297    .0444691
             state5 |  -.0009348   .0200998    -0.05   0.963    -.0403507    .0384811
             state6 |   .0092092   .0172673     0.53   0.594     -.024652    .0430704
             state7 |          0  (omitted)
             state8 |  -.0071518   .0169193    -0.42   0.673    -.0403307    .0260271
             state9 |  -.0100361   .0160887    -0.62   0.533    -.0415861    .0215139
            state10 |  -.0248316    .016003    -1.55   0.121    -.0562137    .0065504
            state11 |   .0013899   .0159659     0.09   0.931    -.0299193    .0326991
            state12 |  -.0112189   .0159374    -0.70   0.482    -.0424722    .0200344
            state13 |  -.0193663   .0160312    -1.21   0.227    -.0508036     .012071
            state14 |   -.010563   .0159195    -0.66   0.507    -.0417812    .0206552
            state15 |  -.0105061   .0163249    -0.64   0.520    -.0425193     .021507
            state16 |   .0040848   .0159526     0.26   0.798    -.0271984    .0353681
            state17 |   .0057548   .0161555     0.36   0.722    -.0259263    .0374358
            state18 |   .0037447   .0160975     0.23   0.816    -.0278225     .035312
            state19 |   .0174832     .01616     1.08   0.279    -.0142066     .049173
            state20 |   .0214874   .0159877     1.34   0.179    -.0098647    .0528395
            state21 |  -.0114847   .0161748    -0.71   0.478    -.0432035    .0202341
            state22 |    .006678   .0162099     0.41   0.680    -.0251097    .0384656
            state23 |   .0095451   .0159636     0.60   0.550    -.0217596    .0408499
            state24 |   .0129093   .0164941     0.78   0.434    -.0194357    .0452543
            state25 |   -.010455   .0159209    -0.66   0.511    -.0416759     .020766
            state26 |  -.0182786   .0159102    -1.15   0.251    -.0494786    .0129214
            state27 |   .0036241   .0166679     0.22   0.828    -.0290618      .03631
            state28 |   -.016308    .016099    -1.01   0.311    -.0478783    .0152623
            state29 |    .000713   .0159833     0.04   0.964    -.0306304    .0320563
            state30 |  -.0220024   .0161169    -1.37   0.172    -.0536078    .0096031
            state31 |  -.0267999    .017599    -1.52   0.128    -.0613117     .007712
            state32 |   -.042921   .0163465    -2.63   0.009    -.0749766   -.0108653
            state33 |  -.0387495   .0164004    -2.36   0.018    -.0709108   -.0065882
            state34 |  -.0104575   .0174168    -0.60   0.548     -.044612    .0236971
            state35 |  -.0444422   .0166576    -2.67   0.008    -.0771078   -.0117766
            state36 |  -.0294819    .016526    -1.78   0.075    -.0618895    .0029257
            state37 |  -.0352462   .0164513    -2.14   0.032    -.0675074    -.002985
            state38 |  -.0065192   .0164771    -0.40   0.692    -.0388309    .0257926
            state39 |  -.0095588   .0164031    -0.58   0.560    -.0417254    .0226078
              _cons |   .6891879   .0394048    17.49   0.000     .6119149     .766461
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     76.41
       Model |  2402.24357        56  42.8972067   Prob > F        =    0.0000
    Residual |  1275.49486     2,272  .561397384   R-squared       =    0.6532
-------------+----------------------------------   Adj R-squared   =    0.6446
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .74926

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
             c40emp |   .4219377   .5823684     0.72   0.469    -.7200917    1.563967
           iAGRI_PF |   .2304347   .0216052    10.67   0.000     .1880667    .2728028
         ww1_vol_sh |   .4520764   .0778686     5.81   0.000     .2993754    .6047773
ww1_awards_pop10_is |   .5708016   .1808768     3.16   0.002     .2161006    .9255027
             lpop30 |  -.1476906   .0296185    -4.99   0.000    -.2057726   -.0896085
           c30unemp |   1.673844   .5161908     3.24   0.001     .6615891    2.686098
          c30urban1 |   .1164226   .0457534     2.54   0.011     .0266998    .2061454
            c30farm |  -.4662174    .156543    -2.98   0.003    -.7731997   -.1592352
            iYf_T29 |   .0605763    .035731     1.70   0.090    -.0094925    .1306452
           MEAN9628 |   .0022073   .0017056     1.29   0.196    -.0011373    .0055519
             c30men |  -6.411994   1.257374    -5.10   0.000    -8.877714   -3.946273
           c30black |  -1.186523   .1391754    -8.53   0.000    -1.459447   -.9135989
             c30jap |   11.22727   4.645184     2.42   0.016     2.118024    20.33651
             c30deu |   -.081717    .540761    -0.15   0.880    -1.142154    .9787199
             c30ita |   -.471118   .9567769    -0.49   0.622    -2.347366     1.40513
             c30vet |   3.888262   .6552567     5.93   0.000     2.603298    5.173226
           lc40wage |   1.022857   .1009563    10.13   0.000     .8248806    1.220833
      iwarconpro_PC |   .2309156   .0309142     7.47   0.000     .1702925    .2915386
             state1 |   .1570898   .5151838     0.30   0.760    -.8531901     1.16737
             state2 |   .0537825    .474487     0.11   0.910    -.8766906    .9842556
             state3 |   .0852326   .4877136     0.17   0.861     -.871178    1.041643
             state4 |   .4614852   .4955713     0.93   0.352    -.5103345    1.433305
             state5 |   .0967209   .5580709     0.17   0.862     -.997661    1.191103
             state6 |   .6482516    .479455     1.35   0.176    -.2919639    1.588467
             state7 |          0  (omitted)
             state8 |  -.2055375   .4697826    -0.44   0.662    -1.126785    .7157102
             state9 |   .2970426   .4467398     0.66   0.506     -.579018    1.173103
            state10 |  -.1547662    .444559    -0.35   0.728     -1.02655    .7170178
            state11 |   .1315443   .4432932     0.30   0.767    -.7377574    1.000846
            state12 |  -.2034558    .442549    -0.46   0.646    -1.071298    .6643867
            state13 |   .0060391   .4452481     0.01   0.989    -.8670962    .8791744
            state14 |   -.073563   .4420466    -0.17   0.868    -.9404201    .7932942
            state15 |   .2366048   .4533007     0.52   0.602    -.6523219    1.125531
            state16 |  -.0874929    .442931    -0.20   0.843    -.9560843    .7810986
            state17 |   .2314978   .4485698     0.52   0.606    -.6481514    1.111147
            state18 |  -.6737601   .4469509    -1.51   0.132    -1.550235    .2027145
            state19 |   .5508983   .4487966     1.23   0.220    -.3291957    1.430992
            state20 |   .1465024   .4440758     0.33   0.742    -.7243342    1.017339
            state21 |   -.492657   .4491417    -1.10   0.273    -1.373428    .3881138
            state22 |   .3646571   .4500834     0.81   0.418    -.5179603    1.247275
            state23 |  -.0797638   .4432637    -0.18   0.857    -.9490077    .7894802
            state24 |  -.1766109   .4580198    -0.39   0.700    -1.074792      .72157
            state25 |   1.160557   .4420849     2.63   0.009     .2936246    2.027489
            state26 |  -.0378748   .4418745    -0.09   0.932    -.9043946     .828645
            state27 |  -.4887056    .462789    -1.06   0.291    -1.396239    .4188276
            state28 |   .4907189   .4470898     1.10   0.273    -.3860281    1.367466
            state29 |  -.0929988   .4437761    -0.21   0.834    -.9632476    .7772499
            state30 |   .2503915   .4476698     0.56   0.576    -.6274929    1.128276
            state31 |   -.471548   .4888862    -0.96   0.335    -1.430258    .4871621
            state32 |    .283945   .4545484     0.62   0.532    -.6074283    1.175318
            state33 |   1.538665   .4559153     3.37   0.001     .6446107    2.432718
            state34 |   .0870911   .4836165     0.18   0.857    -.8612851    1.035467
            state35 |   .1786287   .4632206     0.39   0.700     -.729751    1.087008
            state36 |  -.1679601    .459165    -0.37   0.715    -1.068387    .7324664
            state37 |   .6009704    .457232     1.31   0.189    -.2956654    1.497606
            state38 |   .3600067   .4575025     0.79   0.431    -.5371597    1.257173
            state39 |   .7916416   .4554659     1.74   0.082    -.1015311    1.684814
              _cons |  -4.681104    1.16537    -4.02   0.000    -6.966404   -2.395803
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00296474    .00410469   .7223      .47012097
Goodman-1 (Aroian)  .00296474    .00412873   .7181      .47271084
Goodman-2           .00296474    .0040805   .7266      .46749311

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .007026   .000764   9.19622          0
b coefficient   =  .421938   .582368    .72452    .468746
Indirect effect =  .002965   .004105   .722282    .470121
  Direct effect =  .230435   .021605   10.6657          0
   Total effect =  .233399   .021212   11.0032          0

Proportion of total effect that is mediated:  .01270243
Ratio of indirect to direct effect:           .01286586
Ratio of total to direct effect:              1.0128659

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =     93.25
       Model |  923.629691        64  14.4317139   Prob > F        =    0.0000
    Residual |  457.622227     2,957  .154758954   R-squared       =    0.6687
-------------+----------------------------------   Adj R-squared   =    0.6615
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .39339

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0099799    16.33   0.000     .1434123    .1825488
         ww1_vol_sh |  -.0034661   .0345765    -0.10   0.920    -.0712626    .0643305
ww1_awards_pop10_is |   .2278298   .0831325     2.74   0.006     .0648263    .3908333
             lpop30 |  -.0196992    .013951    -1.41   0.158    -.0470539    .0076555
           c30unemp |  -.3969034   .2440982    -1.63   0.104    -.8755231    .0817163
          c30urban1 |   .0341968   .0210282     1.63   0.104    -.0070346    .0754282
            c30farm |  -.5369548   .0724425    -7.41   0.000    -.6789976   -.3949121
            iYf_T29 |   .0545721   .0166525     3.28   0.001     .0219203    .0872238
           MEAN9628 |   .0018992   .0008293     2.29   0.022     .0002732    .0035253
             c30men |  -1.208349   .5949277    -2.03   0.042    -2.374864   -.0418351
           c30black |  -.2788324   .0714697    -3.90   0.000    -.4189678    -.138697
             c30jap |   5.155809   2.311834     2.23   0.026     .6228432    9.688775
             c30deu |   .6686746   .1976222     3.38   0.001     .2811836    1.056166
             c30ita |  -.2307047   .4700352    -0.49   0.624    -1.152334    .6909247
             c30vet |  -.0487409   .2918841    -0.17   0.867    -.6210575    .5235757
           lc40wage |   .4648431   .0474922     9.79   0.000      .371722    .5579642
      iwarconpro_PC |   .2779728   .0148742    18.69   0.000      .248808    .3071375
             state1 |    .287031   .2250839     1.28   0.202    -.1543059    .7283679
             state2 |   .2757996   .2098226     1.31   0.189    -.1356135    .6872126
             state3 |   .1198325   .2128074     0.56   0.573    -.2974332    .5370981
             state4 |   .3190109    .222661     1.43   0.152    -.1175754    .7555972
             state5 |          0  (omitted)
             state6 |   .3502861   .2119629     1.65   0.099    -.0653238    .7658959
             state7 |   .5824237   .2922871     1.99   0.046      .009317     1.15553
             state8 |   .2185364   .1974075     1.11   0.268    -.1685335    .6056064
             state9 |   .3595776   .1868733     1.92   0.054    -.0068372    .7259925
            state10 |   .4071652   .1881589     2.16   0.031     .0382295    .7761009
            state11 |   .3928217   .1888866     2.08   0.038     .0224591    .7631842
            state12 |   .3303061   .1897463     1.74   0.082    -.0417421    .7023542
            state13 |   .3120027   .1907859     1.64   0.102    -.0620838    .6860892
            state14 |   .2857861   .1894011     1.51   0.131    -.0855853    .6571574
            state15 |   .3444698   .1938669     1.78   0.076    -.0356579    .7245975
            state16 |   .8369676   .1908628     4.39   0.000     .4627301    1.211205
            state17 |   .7096892   .1905348     3.72   0.000      .336095    1.083283
            state18 |    .659075   .1932322     3.41   0.001     .2801918    1.037958
            state19 |   .3265948   .1897179     1.72   0.085    -.0453978    .6985874
            state20 |   .8142392   .1919752     4.24   0.000     .4378205    1.190658
            state21 |   .8824097   .1970829     4.48   0.000     .4959761    1.268843
            state22 |   .6571798    .194732     3.37   0.001     .2753557    1.039004
            state23 |   .3863211   .1912362     2.02   0.043     .0113516    .7612906
            state24 |   .3057846   .1950053     1.57   0.117    -.0765753    .6881444
            state25 |  -.0362754   .1928721    -0.19   0.851    -.4144525    .3419018
            state26 |   .3058485    .193271     1.58   0.114    -.0731108    .6848077
            state27 |   .1276781   .1909917     0.67   0.504     -.246812    .5021683
            state28 |   .0555712   .1938985     0.29   0.774    -.3246185    .4357609
            state29 |   .2780324   .1958099     1.42   0.156    -.1059052      .66197
            state30 |   .2163199   .1908977     1.13   0.257     -.157986    .5906258
            state31 |  -.0766394   .2009586    -0.38   0.703    -.4706722    .3173934
            state32 |   .3952222   .1899608     2.08   0.038     .0227535    .7676909
            state33 |   .0397543   .1895755     0.21   0.834     -.331959    .4114677
            state34 |   .2183383   .2035234     1.07   0.283    -.1807235    .6174001
            state35 |   .3993816   .1924575     2.08   0.038     .0220174    .7767458
            state36 |   .1635068    .190763     0.86   0.391    -.2105349    .5375484
            state37 |   .2447334   .1926025     1.27   0.204    -.1329152     .622382
            state38 |   .3572811    .219513     1.63   0.104    -.0731326    .7876949
            state39 |   .4053117    .191517     2.12   0.034     .0297915    .7808319
            state40 |   .4712139   .1955776     2.41   0.016     .0877318    .8546959
            state41 |   .8960502   .1968744     4.55   0.000     .5100255    1.282075
            state42 |   .4633234   .2105341     2.20   0.028     .0505152    .8761316
            state43 |   .1127428   .2022795     0.56   0.577      -.28388    .5093657
            state44 |   .2314546   .1985724     1.17   0.244    -.1578995    .6208086
            state45 |   .6621917   .2066306     3.20   0.001     .2570373    1.067346
            state46 |   .4312538   .1947472     2.21   0.027     .0494001    .8131075
            state47 |   .8728616   .1990322     4.39   0.000     .4826059    1.263117
            state48 |    .749641   .1973084     3.80   0.000     .3627652    1.136517
              _cons |   .9443491   .5036757     1.87   0.061    -.0432414     1.93194
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(64, 2957)     =   1589.59
       Model |   134563222        64  2102550.34   Prob > F        =    0.0000
    Residual |   3911230.3     2,957  1322.70216   R-squared       =    0.9718
-------------+----------------------------------   Adj R-squared   =    0.9711
       Total |   138474452     3,021  45837.2897   Root MSE        =    36.369

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |  -1.809892   .9226342    -1.96   0.050    -3.618962   -.0008217
         ww1_vol_sh |  -11.31767   3.196574    -3.54   0.000     -17.5854   -5.049931
ww1_awards_pop10_is |   3.713263   7.685536     0.48   0.629    -11.35628    18.78281
             lpop30 |   10.49209   1.289761     8.13   0.000     7.963172    13.02101
           c30unemp |  -80.42974   22.56669    -3.56   0.000    -124.6777   -36.18173
          c30urban1 |  -18.07168    1.94404    -9.30   0.000    -21.88349   -14.25987
            c30farm |  -19.38787   6.697246    -2.89   0.004    -32.51961   -6.256134
            iYf_T29 |  -4.149213   1.539514    -2.70   0.007     -7.16784   -1.130586
           MEAN9628 |   .1373318   .0766667     1.79   0.073    -.0129937    .2876572
             c30men |  -121.3244   55.00058    -2.21   0.027    -229.1677   -13.48106
           c30black |   37.17042   6.607317     5.63   0.000     24.21501    50.12582
             c30jap |   -70.7211   213.7272    -0.33   0.741    -489.7902    348.3479
             c30deu |  -.6982202   18.27002    -0.04   0.970    -36.52146    35.12501
             c30ita |   297.2798   43.45438     6.84   0.000     212.0759    382.4837
             c30vet |   213.5128   26.98445     7.91   0.000     160.6026     266.423
           lc40wage |   604.5316   4.390614   137.69   0.000     595.9226    613.1406
      iwarconpro_PC |   11.32174   1.375105     8.23   0.000      8.62548      14.018
             state1 |   19.60359   20.80882     0.94   0.346    -21.19766    60.40483
             state2 |   10.22086   19.39793     0.53   0.598    -27.81395    48.25566
             state3 |   43.73164   19.67387     2.22   0.026     5.155766    82.30752
             state4 |    23.2856   20.58483     1.13   0.258    -17.07645    63.64765
             state5 |          0  (omitted)
             state6 |   26.51965    19.5958     1.35   0.176    -11.90315    64.94245
             state7 |   42.33471    27.0217     1.57   0.117    -10.64854    95.31797
             state8 |   50.87944   18.25016     2.79   0.005     15.09513    86.66374
             state9 |   35.43258   17.27628     2.05   0.040     1.557822    69.30734
            state10 |   15.61118   17.39514     0.90   0.370    -18.49663    49.71899
            state11 |   29.09686   17.46242     1.67   0.096    -5.142864    63.33658
            state12 |   28.94202   17.54189     1.65   0.099    -5.453534    63.33757
            state13 |   36.08102     17.638     2.05   0.041     1.497024    70.66502
            state14 |   37.65585   17.50998     2.15   0.032     3.322865    71.98883
            state15 |   31.15128   17.92284     1.74   0.082    -3.991219    66.29378
            state16 |   23.31158   17.64512     1.32   0.187    -11.28638    57.90953
            state17 |   21.53088   17.61479     1.22   0.222    -13.00761    56.06936
            state18 |   24.09389   17.86416     1.35   0.178    -10.93356    59.12133
            state19 |   25.26157   17.53927     1.44   0.150    -9.128841    59.65199
            state20 |   24.37718   17.74796     1.37   0.170    -10.42242    59.17678
            state21 |   31.39196   18.22016     1.72   0.085    -4.333517    67.11743
            state22 |   27.18155   18.00282     1.51   0.131    -8.117774    62.48088
            state23 |   10.50367   17.67963     0.59   0.552    -24.16196     45.1693
            state24 |   20.99352   18.02808     1.16   0.244    -14.35533    56.34238
            state25 |   33.09051   17.83087     1.86   0.064    -1.871665    68.05268
            state26 |   1.420799   17.86774     0.08   0.937    -33.61368    36.45527
            state27 |   51.61126   17.65703     2.92   0.003     16.98995    86.23257
            state28 |  -5.109295   17.92576    -0.29   0.776    -40.25752    30.03893
            state29 |   12.07278   18.10247     0.67   0.505    -23.42194     47.5675
            state30 |   8.483759   17.64834     0.48   0.631    -26.12052    43.08804
            state31 |   7.135292   18.57846     0.38   0.701    -29.29273    43.56331
            state32 |    20.8385   17.56172     1.19   0.235    -13.59594    55.27293
            state33 |   37.25559    17.5261     2.13   0.034     2.890994    71.62019
            state34 |   39.62182   18.81557     2.11   0.035     2.728877    76.51477
            state35 |   16.04757   17.79254     0.90   0.367    -18.83945    50.93459
            state36 |     34.373   17.63588     1.95   0.051     -.206849    68.95285
            state37 |   15.05804   17.80595     0.85   0.398    -19.85527    49.97135
            state38 |   48.48181    20.2938     2.39   0.017     8.690411    88.27322
            state39 |   25.86262    17.7056     1.46   0.144    -8.853922    60.57916
            state40 |   31.71483   18.08099     1.75   0.080    -3.737778    67.16744
            state41 |   41.47906   18.20088     2.28   0.023     5.791391    77.16674
            state42 |    112.635   19.46371     5.79   0.000     74.47125    150.7988
            state43 |   17.99571   18.70058     0.96   0.336    -18.67176    54.66317
            state44 |   34.13417   18.35786     1.86   0.063    -1.861295    70.12964
            state45 |   39.93662   19.10283     2.09   0.037     2.480422    77.39282
            state46 |   67.58569   18.00422     3.75   0.000     32.28362    102.8878
            state47 |   49.40427   18.40037     2.68   0.007     13.32544    85.48309
            state48 |   53.64845   18.24101     2.94   0.003      17.8821    89.41481
              _cons |  -3289.527   46.56442   -70.64   0.000    -3380.829   -3198.225
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     96.05
       Model |  937.417723        65  14.4218111   Prob > F        =    0.0000
    Residual |  443.834196     2,956  .150146886   R-squared       =    0.6787
-------------+----------------------------------   Adj R-squared   =    0.6716
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .38749

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |  -.0018776   .0001959    -9.58   0.000    -.0022617   -.0014934
           iAGRI_PF |   .1595823   .0098365    16.22   0.000     .1402953    .1788694
         ww1_vol_sh |  -.0247157   .0341295    -0.72   0.469    -.0916358    .0422044
ww1_awards_pop10_is |   .2348017   .0818877     2.87   0.004     .0742391    .3953643
             lpop30 |   3.58e-07   .0138945     0.00   1.000    -.0272435    .0272442
           c30unemp |  -.5479153   .2409494    -2.27   0.023    -1.020361   -.0754698
          c30urban1 |   .0002661    .021013     0.01   0.990    -.0409354    .0414676
            c30farm |  -.5733568   .0714559    -8.02   0.000    -.7134651   -.4332485
            iYf_T29 |   .0467817   .0164227     2.85   0.004     .0145807    .0789827
           MEAN9628 |   .0021571   .0008173     2.64   0.008     .0005546    .0037596
             c30men |  -1.436143   .5864776    -2.45   0.014    -2.586089   -.2861975
           c30black |  -.2090426   .0707724    -2.95   0.003    -.3478108   -.0702744
             c30jap |   5.023026   2.277167     2.21   0.027     .5580324    9.488019
             c30deu |   .6673637   .1946553     3.43   0.001     .2856901    1.049037
             c30ita |   .3274568   .4666278     0.70   0.483    -.5874916    1.242405
             c30vet |   .3521427   .2905295     1.21   0.226    -.2175179    .9218034
           lc40wage |   1.599889   .1273489    12.56   0.000     1.350188    1.849591
      iwarconpro_PC |     .29923   .0148178    20.19   0.000     .2701757    .3282844
             state1 |   .3238379   .2217378     1.46   0.144    -.1109382    .7586141
             state2 |   .2949899   .2066821     1.43   0.154    -.1102655    .7002452
             state3 |   .2019414   .2097875     0.96   0.336     -.209403    .6132857
             state4 |    .362731   .2193656     1.65   0.098    -.0673937    .7928557
             state5 |          0  (omitted)
             state6 |   .4000784   .2088453     1.92   0.056    -.0094185    .8095753
             state7 |   .6619098   .2880183     2.30   0.022     .0971731    1.226646
             state8 |   .3140658   .1946991     1.61   0.107    -.0676937    .6958252
             state9 |   .4261045   .1841985     2.31   0.021     .0649342    .7872749
            state10 |   .4364762   .1853592     2.35   0.019       .07303    .7999224
            state11 |   .4474528   .1861381     2.40   0.016     .0824794    .8124262
            state12 |   .3846465   .1869835     2.06   0.040     .0180154    .7512776
            state13 |   .3797471   .1880544     2.02   0.044     .0110162    .7484779
            state14 |   .3564873   .1867034     1.91   0.056    -.0095945     .722569
            state15 |   .4029583   .1910538     2.11   0.035     .0283464    .7775702
            state16 |   .8807366   .1880528     4.68   0.000     .5120089    1.249464
            state17 |   .7501148   .1877216     4.00   0.000     .3820365    1.118193
            state18 |   .7043128   .1903896     3.70   0.000     .3310032    1.077622
            state19 |    .374025   .1869351     2.00   0.046     .0074887    .7405612
            state20 |   .8600088   .1891533     4.55   0.000     .4891233    1.230894
            state21 |   .9413501   .1942214     4.85   0.000     .5605272    1.322173
            state22 |   .7082148   .1918823     3.69   0.000     .3319783    1.084451
            state23 |   .4060424   .1883763     2.16   0.031     .0366804    .7754044
            state24 |   .3452012   .1921216     1.80   0.072    -.0315044    .7219069
            state25 |   .0258541    .190087     0.14   0.892    -.3468622    .3985704
            state26 |   .3085161   .1903695     1.62   0.105    -.0647541    .6817863
            state27 |   .2245815   .1883958     1.19   0.233    -.1448188    .5939818
            state28 |   .0459782     .19099     0.24   0.810    -.3285087    .4204651
            state29 |   .3006998   .1928847     1.56   0.119     -.077502    .6789016
            state30 |   .2322486    .188039     1.24   0.217    -.1364521    .6009494
            state31 |  -.0632424   .1979464    -0.32   0.749    -.4513692    .3248843
            state32 |   .4343478   .1871533     2.32   0.020     .0673837    .8013118
            state33 |    .109704   .1868719     0.59   0.557    -.2567083    .4761163
            state34 |   .2927308    .200618     1.46   0.145    -.1006344     .686096
            state35 |   .4295119   .1895941     2.27   0.024     .0577621    .8012617
            state36 |   .2280442   .1880196     1.21   0.225    -.1406184    .5967068
            state37 |   .2730058   .1897338     1.44   0.150     -.099018    .6450296
            state38 |   .4483088   .2164259     2.07   0.038     .0239481    .8726695
            state39 |   .4538704   .1887097     2.41   0.016     .0838546    .8238862
            state40 |   .5307604   .1927415     2.75   0.006     .1528393    .9086816
            state41 |   .9739298   .1940888     5.02   0.000     .5933668    1.354493
            state42 |   .6748027   .2085442     3.24   0.001     .2658962    1.083709
            state43 |   .1465309   .1992738     0.74   0.462    -.2441985    .5372603
            state44 |   .2955436   .1957054     1.51   0.131     -.088189    .6792763
            state45 |   .7371752   .2036787     3.62   0.000     .3378087    1.136542
            state46 |   .5581502   .1922799     2.90   0.004     .1811342    .9351661
            state47 |   .9656212   .1962829     4.92   0.000     .5807562    1.350486
            state48 |   .8503693   .1946302     4.37   0.000     .4687449    1.231994
              _cons |  -5.231944   .8133462    -6.43   0.000    -6.826726   -3.637162
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00339819    .00176823   1.922      .05463039
Goodman-1 (Aroian)  .00339819    .00177744   1.912      .05589681
Goodman-2           .00339819    .00175896   1.932      .05336855

                    Coef      Std Err    Z          P>|Z|
a coefficient   = -1.80989   .922634  -1.96166    .049802
b coefficient   = -.001878   .000196  -9.58281          0
Indirect effect =  .003398   .001768    1.9218     .05463
  Direct effect =  .159582   .009836   16.2235          0
   Total effect =  .162981    .00998   16.3309          0

Proportion of total effect that is mediated:  .02085026
Ratio of indirect to direct effect:           .02129425
Ratio of total to direct effect:              1.0212942

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     68.38
       Model |  169.496419        55  3.08175307   Prob > F        =    0.0000
    Residual |   102.44105     2,273  .045068654   R-squared       =    0.6233
-------------+----------------------------------   Adj R-squared   =    0.6142
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21229

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0060107     6.11   0.000     .0249529    .0485271
         ww1_vol_sh |   .1099746   .0220549     4.99   0.000     .0667248    .1532244
ww1_awards_pop10_is |   .1261255   .0512471     2.46   0.014     .0256296    .2266215
             lpop30 |  -.0125949   .0083873    -1.50   0.133    -.0290425    .0038527
           c30unemp |   .6094068   .1438259     4.24   0.000     .3273631    .8914506
          c30urban1 |   .0070253   .0129629     0.54   0.588    -.0183952    .0324457
            c30farm |  -.0861848   .0425092    -2.03   0.043    -.1695456    -.002824
            iYf_T29 |  -.0283905   .0101229    -2.80   0.005    -.0482415   -.0085395
           MEAN9628 |  -.0003738   .0004831    -0.77   0.439    -.0013212    .0005736
             c30men |  -1.264086   .3557157    -3.55   0.000    -1.961648   -.5665248
           c30black |   -.433984   .0392569   -11.05   0.000    -.5109671   -.3570009
             c30jap |    .735138    1.31503     0.56   0.576    -1.843647    3.313923
             c30deu |  -.7111557   .1530907    -4.65   0.000    -1.011368   -.4109435
             c30ita |   -.234159   .2709219    -0.86   0.388    -.7654391    .2971211
             c30vet |   1.116889   .1856414     6.02   0.000     .7528445    1.480933
           lc40wage |   .2101183   .0279249     7.52   0.000     .1553573    .2648793
      iwarconpro_PC |  -.0339349    .008729    -3.89   0.000    -.0510526   -.0168172
             state1 |   .1669829   .1459702     1.14   0.253    -.1192659    .4532317
             state2 |   .1711233   .1343724     1.27   0.203    -.0923821    .4346287
             state3 |   .2009317   .1381726     1.45   0.146    -.0700258    .4718893
             state4 |   .4055992   .1404046     2.89   0.004     .1302646    .6809338
             state5 |     .16234   .1581216     1.03   0.305    -.1477378    .4724178
             state6 |   .4711064   .1358385     3.47   0.001     .2047261    .7374868
             state7 |          0  (omitted)
             state8 |   .0761959   .1331012     0.57   0.567    -.1848166    .3372085
             state9 |   .2171581   .1265667     1.72   0.086    -.0310403    .4653565
            state10 |   -.023964    .125893    -0.19   0.849    -.2708412    .2229132
            state11 |   .1880833   .1256008     1.50   0.134    -.0582209    .4343875
            state12 |   .0863674   .1253765     0.69   0.491     -.159497    .3322317
            state13 |   .1352219   .1261144     1.07   0.284    -.1120896    .3825333
            state14 |   .0768363   .1252357     0.61   0.540    -.1687519    .3224245
            state15 |    .363215   .1284248     2.83   0.005     .1113729    .6150572
            state16 |   .0223894   .1254966     0.18   0.858    -.2237104    .2684892
            state17 |   .2620141   .1270925     2.06   0.039     .0127847    .5112436
            state18 |  -.0590347   .1266359    -0.47   0.641    -.3073687    .1892993
            state19 |   .3862226   .1271276     3.04   0.002     .1369243    .6355208
            state20 |   .3389894   .1257728     2.70   0.007     .0923479    .5856309
            state21 |  -.0153097    .127244    -0.12   0.904    -.2648363    .2342168
            state22 |   .3122675   .1275202     2.45   0.014     .0621994    .5623357
            state23 |   .1547308   .1255828     1.23   0.218    -.0915381    .4009997
            state24 |   .2385746   .1297561     1.84   0.066    -.0158782    .4930275
            state25 |   .6903331   .1252468     5.51   0.000     .4447232    .9359431
            state26 |   .2234668   .1251627     1.79   0.074    -.0219783     .468912
            state27 |  -.1243392   .1311235    -0.95   0.343    -.3814735    .1327951
            state28 |   .3146195   .1266482     2.48   0.013     .0662614    .5629776
            state29 |   .1400839   .1257378     1.11   0.265    -.1064889    .3866567
            state30 |   .2756602   .1267891     2.17   0.030     .0270257    .5242946
            state31 |  -.3237372   .1384486    -2.34   0.019     -.595236   -.0522384
            state32 |    .109005   .1285951     0.85   0.397    -.1431711    .3611811
            state33 |   .3400739    .129019     2.64   0.008     .0870666    .5930812
            state34 |   .0074299   .1370152     0.05   0.957    -.2612581    .2761179
            state35 |   .2587957   .1310422     1.97   0.048     .0018209    .5157704
            state36 |  -.0392465   .1300071    -0.30   0.763    -.2941914    .2156985
            state37 |   .1720315   .1294198     1.33   0.184    -.0817618    .4258247
            state38 |   .0153597   .1296226     0.12   0.906    -.2388312    .2695506
            state39 |   .2214258   .1290404     1.72   0.086    -.0316234     .474475
              _cons |  -.3675607   .3099906    -1.19   0.236    -.9754548    .2403334
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1392.57
       Model |   115589123        55  2101620.42   Prob > F        =    0.0000
    Residual |  3430342.46     2,273  1509.16958   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.848

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3537409   1.099918     0.32   0.748    -1.803208    2.510689
         ww1_vol_sh |  -15.12418   4.035864    -3.75   0.000    -23.03855    -7.20982
ww1_awards_pop10_is |   1.944534   9.377796     0.21   0.836     -16.4454    20.33447
             lpop30 |   11.98075    1.53481     7.81   0.000     8.970978    14.99053
           c30unemp |  -80.66487   26.31896    -3.06   0.002    -132.2766   -29.05317
          c30urban1 |  -21.37202   2.372113    -9.01   0.000    -26.02376   -16.72029
            c30farm |  -10.45702    7.77883    -1.34   0.179    -25.71137    4.797325
            iYf_T29 |  -4.534407   1.852402    -2.45   0.014    -8.166982   -.9018322
           MEAN9628 |   .1314475    .088409     1.49   0.137    -.0419234    .3048183
             c30men |  -93.36021   65.09308    -1.43   0.152    -221.0083    34.28784
           c30black |   34.66676   7.183694     4.83   0.000     20.57948    48.75405
             c30jap |  -102.9416   240.6398    -0.43   0.669    -574.8382     368.955
             c30deu |   73.31218   28.01436     2.62   0.009      18.3758    128.2486
             c30ita |   322.2079    49.5765     6.50   0.000      224.988    419.4279
             c30vet |    272.125   33.97086     8.01   0.000     205.5079    338.7422
           lc40wage |   597.0863   5.110031   116.85   0.000     587.0655    607.1071
      iwarconpro_PC |   12.09057   1.597341     7.57   0.000      8.95817    15.22297
             state1 |  -29.45949   26.71136    -1.10   0.270    -81.84069     22.9217
             state2 |  -30.43769   24.58905    -1.24   0.216    -78.65702    17.78165
             state3 |  -2.233456   25.28446    -0.09   0.930    -51.81648    47.34957
             state4 |  -15.86053    25.6929    -0.62   0.537    -66.24451    34.52345
             state5 |  -45.45897   28.93497    -1.57   0.116    -102.2007    11.28274
             state6 |  -15.31266   24.85733    -0.62   0.538    -64.05809    33.43278
             state7 |          0  (omitted)
             state8 |   1.405371   24.35643     0.06   0.954     -46.3578    49.16854
             state9 |  -10.81272   23.16068    -0.47   0.641      -56.231    34.60557
            state10 |  -28.66384   23.03739    -1.24   0.214    -73.84036    16.51267
            state11 |  -24.16509   22.98392    -1.05   0.293    -69.23675    20.90657
            state12 |  -20.44642   22.94288    -0.89   0.373    -65.43759    24.54475
            state13 |  -14.74517   23.07791    -0.64   0.523    -60.00114     30.5108
            state14 |  -10.23409   22.91711    -0.45   0.655    -55.17472    34.70655
            state15 |  -29.06584   23.50069    -1.24   0.216    -75.15089    17.01922
            state16 |  -35.66454   22.96485    -1.55   0.121     -80.6988    9.369713
            state17 |  -28.87433   23.25689    -1.24   0.215    -74.48129    16.73263
            state18 |  -17.83719   23.17333    -0.77   0.442    -63.28029     27.6059
            state19 |  -44.69469   23.26331    -1.92   0.055    -90.31424    .9248586
            state20 |   1.845275    23.0154     0.08   0.936    -43.28811    46.97866
            state21 |  -54.28026   23.28462    -2.33   0.020    -99.94158   -8.618938
            state22 |  -37.22283   23.33515    -1.60   0.111    -82.98326    8.537592
            state23 |  -39.48588   22.98063    -1.72   0.086    -84.55107    5.579318
            state24 |   -42.0989   23.74431    -1.77   0.076    -88.66169    4.463893
            state25 |  -31.27156   22.91914    -1.36   0.173    -76.21618    13.67306
            state26 |  -12.11318   22.90376    -0.53   0.597    -57.02764    32.80128
            state27 |  -7.335888   23.99453    -0.31   0.760    -54.38936    39.71759
            state28 |  -36.62947   23.17558    -1.58   0.114    -82.07697    8.818035
            state29 |  -14.67993   23.00899    -0.64   0.524    -59.80075    30.44088
            state30 |  -29.44915   23.20137    -1.27   0.204    -74.94723    16.04893
            state31 |   1.608452   25.33496     0.06   0.949    -48.07361    51.29051
            state32 |  -19.93014   23.53186    -0.85   0.397    -66.07632    26.21603
            state33 |  -14.09092   23.60942    -0.60   0.551    -60.38919    32.20735
            state34 |   61.68182   25.07267     2.46   0.014     12.51411    110.8495
            state35 |  -30.80219   23.97965    -1.28   0.199    -77.82647     16.2221
            state36 |  -13.08369   23.79024    -0.55   0.582    -59.73654    33.56916
            state37 |   15.14165   23.68276     0.64   0.523    -31.30044    61.58374
            state38 |  -.5190799   23.71987    -0.02   0.983    -47.03394    45.99578
            state39 |   1.911992   23.61333     0.08   0.935    -44.39395    48.21793
              _cons |  -3243.491   56.72575   -57.18   0.000    -3354.731   -3132.251
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     67.60
       Model |  169.945565        56  3.03474224   Prob > F        =    0.0000
    Residual |  101.991904     2,272  .044890803   R-squared       =    0.6249
-------------+----------------------------------   Adj R-squared   =    0.6157
       Total |  271.937469     2,328  .116811628   Root MSE        =    .21187

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |  -.0003618   .0001144    -3.16   0.002    -.0005862   -.0001375
           iAGRI_PF |    .036868    .005999     6.15   0.000     .0251039    .0486321
         ww1_vol_sh |   .1045019   .0220792     4.73   0.000     .0612044    .1477995
ww1_awards_pop10_is |   .1268291   .0511463     2.48   0.013     .0265307    .2271276
             lpop30 |  -.0082597   .0084822    -0.97   0.330    -.0248934     .008374
           c30unemp |   .5802185   .1438381     4.03   0.000     .2981507    .8622863
          c30urban1 |  -.0007081   .0131663    -0.05   0.957    -.0265274    .0251112
            c30farm |  -.0899686   .0424421    -2.12   0.034    -.1731979   -.0067394
            iYf_T29 |  -.0300313   .0101162    -2.97   0.003    -.0498692   -.0101933
           MEAN9628 |  -.0003262   .0004824    -0.68   0.499    -.0012722    .0006198
             c30men |  -1.297868   .3551738    -3.65   0.000    -1.994367   -.6013695
           c30black |  -.4214399   .0393796   -10.70   0.000    -.4986636   -.3442163
             c30jap |   .6978889   1.312486     0.53   0.595    -1.875907    3.271685
             c30deu |  -.6846279   .1530184    -4.47   0.000    -.9846983   -.3845576
             c30ita |   -.117569   .2728876    -0.43   0.667    -.6527039     .417566
             c30vet |   1.215356   .1878718     6.47   0.000     .8469383    1.583775
           lc40wage |   .4261723   .0737711     5.78   0.000     .2815065    .5708381
      iwarconpro_PC |    -.02956   .0088209    -3.35   0.001    -.0468579   -.0122621
             state1 |    .156323   .1457209     1.07   0.283    -.1294369     .442083
             state2 |   .1601095   .1341522     1.19   0.233    -.1029641    .4231832
             state3 |   .2001236   .1378999     1.45   0.147    -.0702994    .4705465
             state4 |   .3998601    .140139     2.85   0.004     .1250462     .674674
             state5 |   .1458908    .157895     0.92   0.356    -.1637427    .4555242
             state6 |   .4655656   .1355815     3.43   0.001     .1996891    .7314421
             state7 |          0  (omitted)
             state8 |   .0767044   .1328384     0.58   0.564    -.1837928    .3372017
             state9 |   .2132455   .1263228     1.69   0.092    -.0344746    .4609656
            state10 |  -.0343359   .1256871    -0.27   0.785    -.2808095    .2121377
            state11 |   .1793393   .1253832     1.43   0.153    -.0665383    .4252168
            state12 |   .0789689   .1251507     0.63   0.528    -.1664528    .3243906
            state13 |   .1298864   .1258766     1.03   0.302    -.1169588    .3767316
            state14 |   .0731332   .1249938     0.59   0.559    -.1719808    .3182471
            state15 |   .3526976   .1282143     2.75   0.006     .1012683     .604127
            state16 |   .0094843   .1253151     0.08   0.940    -.2362598    .2552284
            state17 |    .251566   .1268845     1.98   0.048     .0027444    .5003876
            state18 |   -.065489   .1264022    -0.52   0.604    -.3133649    .1823868
            state19 |   .3700499   .1269795     2.91   0.004      .121042    .6190578
            state20 |   .3396571   .1255246     2.71   0.007     .0935024    .5858119
            state21 |  -.0349509   .1271444    -0.27   0.783    -.2842822    .2143804
            state22 |   .2987986   .1273395     2.35   0.019     .0490846    .5485125
            state23 |   .1404429   .1254161     1.12   0.263    -.1054992     .386385
            state24 |   .2233413   .1295894     1.72   0.085    -.0307846    .4774671
            state25 |   .6790176   .1250506     5.43   0.000     .4337923    .9242429
            state26 |   .2190837   .1249232     1.75   0.080    -.0258918    .4640592
            state27 |  -.1269937   .1308672    -0.97   0.332    -.3836254    .1296381
            state28 |   .3013652   .1264675     2.38   0.017     .0533614     .549369
            state29 |    .134772   .1255007     1.07   0.283    -.1113359    .3808799
            state30 |   .2650041   .1265835     2.09   0.036     .0167727    .5132355
            state31 |  -.3231552   .1381752    -2.34   0.019     -.594118   -.0521923
            state32 |   .1017933   .1283614     0.79   0.428    -.1499245    .3535112
            state33 |   .3349752   .1287743     2.60   0.009     .0824477    .5875026
            state34 |   .0297493   .1369265     0.22   0.828    -.2387648    .2982634
            state35 |     .24765   .1308308     1.89   0.058    -.0089104    .5042103
            state36 |  -.0439808   .1297589    -0.34   0.735    -.2984392    .2104777
            state37 |   .1775104   .1291758     1.37   0.170    -.0758044    .4308252
            state38 |   .0151719   .1293666     0.12   0.907    -.2385171    .2688608
            state39 |   .2221176   .1287857     1.72   0.085    -.0304322    .4746674
              _cons |  -1.541209   .4831013    -3.19   0.001    -2.488575   -.5938432
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.000128    .00040005    -.32      .74900092
Goodman-1 (Aroian)  -.000128    .00041938  -.3052      .7602014
Goodman-2           -.000128    .00037975  -.3371      .73606947

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .353741   1.09992   .321607    .747751
b coefficient   = -.000362   .000114  -3.16312    .001561
Indirect effect = -.000128     .0004  -.319957    .749001
  Direct effect =  .036868   .005999   6.14567    8.0e-10
   Total effect =   .03674   .006011   6.11238    9.8e-10

Proportion of total effect that is mediated:  -.00348395
Ratio of indirect to direct effect:           -.00347185
Ratio of total to direct effect:              .99652815

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =      9.52
       Model |  7.10013307        55  .129093329   Prob > F        =    0.0000
    Residual |  30.8266221     2,273  .013562086   R-squared       =    0.1872
-------------+----------------------------------   Adj R-squared   =    0.1675
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11646

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0032973     3.99   0.000     .0067052    .0196372
         ww1_vol_sh |   .0564202   .0120985     4.66   0.000      .032695    .0801455
ww1_awards_pop10_is |   .0349864   .0281122     1.24   0.213    -.0201419    .0901146
             lpop30 |  -.0173645    .004601    -3.77   0.000     -.026387    -.008342
           c30unemp |   .1527126   .0788975     1.94   0.053     -.002006    .3074312
          c30urban1 |   .0057236    .007111     0.80   0.421    -.0082211    .0196683
            c30farm |     .02803   .0233189     1.20   0.229    -.0176986    .0737586
            iYf_T29 |   .0128969    .005553     2.32   0.020     .0020073    .0237864
           MEAN9628 |  -.0000696    .000265    -0.26   0.793    -.0005894    .0004501
             c30men |  -.5458902   .1951322    -2.80   0.005    -.9285461   -.1632343
           c30black |  -.0502053   .0215349    -2.33   0.020    -.0924353   -.0079753
             c30jap |   .8842438   .7213759     1.23   0.220    -.5303804    2.298868
             c30deu |   .0555887   .0839798     0.66   0.508    -.1090964    .2202738
             c30ita |  -.0096405   .1486176    -0.06   0.948    -.3010808    .2817997
             c30vet |   .2707406   .1018359     2.66   0.008     .0710396    .4704415
           lc40wage |   .0564545   .0153186     3.69   0.000     .0264147    .0864943
      iwarconpro_PC |   .0048563   .0047884     1.01   0.311    -.0045338    .0142465
             state1 |   .0441544   .0800738     0.55   0.581    -.1128709    .2011797
             state2 |   .0191706   .0737116     0.26   0.795    -.1253786    .1637197
             state3 |   .0415608   .0757963     0.55   0.584    -.1070763    .1901979
             state4 |   .0182641   .0770207     0.24   0.813    -.1327741    .1693023
             state5 |   .1026876   .0867396     1.18   0.237    -.0674093    .2727846
             state6 |   .0204055   .0745159     0.27   0.784    -.1257207    .1665318
             state7 |          0  (omitted)
             state8 |   .0073859   .0730143     0.10   0.919    -.1357957    .1505676
             state9 |   .0401164   .0694297     0.58   0.563    -.0960359    .1762686
            state10 |    .015048   .0690602     0.22   0.828    -.1203795    .1504755
            state11 |   .0005425   .0688999     0.01   0.994    -.1345707    .1356557
            state12 |  -.0226274   .0687768    -0.33   0.742    -.1574993    .1122445
            state13 |    .006592   .0691816     0.10   0.924    -.1290737    .1422578
            state14 |   .0215456   .0686996     0.31   0.754    -.1131748    .1562661
            state15 |   -.029967    .070449    -0.43   0.671    -.1681181     .108184
            state16 |   .0224595   .0688427     0.33   0.744    -.1125415    .1574606
            state17 |   .0158655   .0697182     0.23   0.820    -.1208524    .1525834
            state18 |   .0037092   .0694677     0.05   0.957    -.1325174    .1399359
            state19 |   .0537689   .0697374     0.77   0.441    -.0829868    .1905245
            state20 |   .0059345   .0689942     0.09   0.931    -.1293638    .1412327
            state21 |   .0129237   .0698013     0.19   0.853    -.1239572    .1498045
            state22 |    .044283   .0699528     0.63   0.527    -.0928949    .1814609
            state23 |   .0046138     .06889     0.07   0.947    -.1304801    .1397076
            state24 |   .0205579   .0711793     0.29   0.773    -.1190253    .1601412
            state25 |   .0455188   .0687057     0.66   0.508    -.0892136    .1802511
            state26 |   .0154238   .0686596     0.22   0.822    -.1192181    .1500658
            state27 |   .0161666   .0719294     0.22   0.822    -.1248875    .1572208
            state28 |   .0308503   .0694744     0.44   0.657    -.1053896    .1670902
            state29 |   .0137631    .068975     0.20   0.842    -.1214974    .1490237
            state30 |   .0296061   .0695517     0.43   0.670    -.1067854    .1659976
            state31 |   .0724468   .0759477     0.95   0.340    -.0764872    .2213808
            state32 |   .0515447   .0705424     0.73   0.465    -.0867896     .189879
            state33 |    .162568    .070775     2.30   0.022     .0237778    .3013583
            state34 |   .0546338   .0751614     0.73   0.467    -.0927583    .2020259
            state35 |   .0390813   .0718848     0.54   0.587    -.1018854     .180048
            state36 |   .0553073    .071317     0.78   0.438    -.0845459    .1951605
            state37 |   .1101874   .0709948     1.55   0.121     -.029034    .2494088
            state38 |   .0312354   .0711061     0.44   0.661    -.1082042    .1706749
            state39 |   .0718232   .0707867     1.01   0.310      -.06699    .2106365
              _cons |   .0095013   .1700491     0.06   0.955    -.3239665    .3429691
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1392.57
       Model |   115589123        55  2101620.42   Prob > F        =    0.0000
    Residual |  3430342.46     2,273  1509.16958   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.848

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3537409   1.099918     0.32   0.748    -1.803208    2.510689
         ww1_vol_sh |  -15.12418   4.035864    -3.75   0.000    -23.03855    -7.20982
ww1_awards_pop10_is |   1.944534   9.377796     0.21   0.836     -16.4454    20.33447
             lpop30 |   11.98075    1.53481     7.81   0.000     8.970978    14.99053
           c30unemp |  -80.66487   26.31896    -3.06   0.002    -132.2766   -29.05317
          c30urban1 |  -21.37202   2.372113    -9.01   0.000    -26.02376   -16.72029
            c30farm |  -10.45702    7.77883    -1.34   0.179    -25.71137    4.797325
            iYf_T29 |  -4.534407   1.852402    -2.45   0.014    -8.166982   -.9018322
           MEAN9628 |   .1314475    .088409     1.49   0.137    -.0419234    .3048183
             c30men |  -93.36021   65.09308    -1.43   0.152    -221.0083    34.28784
           c30black |   34.66676   7.183694     4.83   0.000     20.57948    48.75405
             c30jap |  -102.9416   240.6398    -0.43   0.669    -574.8382     368.955
             c30deu |   73.31218   28.01436     2.62   0.009      18.3758    128.2486
             c30ita |   322.2079    49.5765     6.50   0.000      224.988    419.4279
             c30vet |    272.125   33.97086     8.01   0.000     205.5079    338.7422
           lc40wage |   597.0863   5.110031   116.85   0.000     587.0655    607.1071
      iwarconpro_PC |   12.09057   1.597341     7.57   0.000      8.95817    15.22297
             state1 |  -29.45949   26.71136    -1.10   0.270    -81.84069     22.9217
             state2 |  -30.43769   24.58905    -1.24   0.216    -78.65702    17.78165
             state3 |  -2.233456   25.28446    -0.09   0.930    -51.81648    47.34957
             state4 |  -15.86053    25.6929    -0.62   0.537    -66.24451    34.52345
             state5 |  -45.45897   28.93497    -1.57   0.116    -102.2007    11.28274
             state6 |  -15.31266   24.85733    -0.62   0.538    -64.05809    33.43278
             state7 |          0  (omitted)
             state8 |   1.405371   24.35643     0.06   0.954     -46.3578    49.16854
             state9 |  -10.81272   23.16068    -0.47   0.641      -56.231    34.60557
            state10 |  -28.66384   23.03739    -1.24   0.214    -73.84036    16.51267
            state11 |  -24.16509   22.98392    -1.05   0.293    -69.23675    20.90657
            state12 |  -20.44642   22.94288    -0.89   0.373    -65.43759    24.54475
            state13 |  -14.74517   23.07791    -0.64   0.523    -60.00114     30.5108
            state14 |  -10.23409   22.91711    -0.45   0.655    -55.17472    34.70655
            state15 |  -29.06584   23.50069    -1.24   0.216    -75.15089    17.01922
            state16 |  -35.66454   22.96485    -1.55   0.121     -80.6988    9.369713
            state17 |  -28.87433   23.25689    -1.24   0.215    -74.48129    16.73263
            state18 |  -17.83719   23.17333    -0.77   0.442    -63.28029     27.6059
            state19 |  -44.69469   23.26331    -1.92   0.055    -90.31424    .9248586
            state20 |   1.845275    23.0154     0.08   0.936    -43.28811    46.97866
            state21 |  -54.28026   23.28462    -2.33   0.020    -99.94158   -8.618938
            state22 |  -37.22283   23.33515    -1.60   0.111    -82.98326    8.537592
            state23 |  -39.48588   22.98063    -1.72   0.086    -84.55107    5.579318
            state24 |   -42.0989   23.74431    -1.77   0.076    -88.66169    4.463893
            state25 |  -31.27156   22.91914    -1.36   0.173    -76.21618    13.67306
            state26 |  -12.11318   22.90376    -0.53   0.597    -57.02764    32.80128
            state27 |  -7.335888   23.99453    -0.31   0.760    -54.38936    39.71759
            state28 |  -36.62947   23.17558    -1.58   0.114    -82.07697    8.818035
            state29 |  -14.67993   23.00899    -0.64   0.524    -59.80075    30.44088
            state30 |  -29.44915   23.20137    -1.27   0.204    -74.94723    16.04893
            state31 |   1.608452   25.33496     0.06   0.949    -48.07361    51.29051
            state32 |  -19.93014   23.53186    -0.85   0.397    -66.07632    26.21603
            state33 |  -14.09092   23.60942    -0.60   0.551    -60.38919    32.20735
            state34 |   61.68182   25.07267     2.46   0.014     12.51411    110.8495
            state35 |  -30.80219   23.97965    -1.28   0.199    -77.82647     16.2221
            state36 |  -13.08369   23.79024    -0.55   0.582    -59.73654    33.56916
            state37 |   15.14165   23.68276     0.64   0.523    -31.30044    61.58374
            state38 |  -.5190799   23.71987    -0.02   0.983    -47.03394    45.99578
            state39 |   1.911992   23.61333     0.08   0.935    -44.39395    48.21793
              _cons |  -3243.491   56.72575   -57.18   0.000    -3354.731   -3132.251
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.36
       Model |  7.11209338        56  .127001667   Prob > F        =    0.0000
    Residual |  30.8146618     2,272  .013562791   R-squared       =    0.1875
-------------+----------------------------------   Adj R-squared   =    0.1675
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11646

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |   -.000059   .0000629    -0.94   0.348    -.0001824    .0000643
           iAGRI_PF |   .0131921   .0032974     4.00   0.000     .0067258    .0196584
         ww1_vol_sh |   .0555272   .0121361     4.58   0.000     .0317282    .0793262
ww1_awards_pop10_is |   .0351012   .0281132     1.25   0.212    -.0200291    .0902314
             lpop30 |  -.0166571   .0046623    -3.57   0.000       -.0258   -.0075141
           c30unemp |   .1479495   .0790624     1.87   0.061    -.0070925    .3029915
          c30urban1 |   .0044617    .007237     0.62   0.538    -.0097302    .0186536
            c30farm |   .0274125   .0233288     1.18   0.240    -.0183355    .0731605
            iYf_T29 |   .0126291   .0055605     2.27   0.023      .001725    .0235333
           MEAN9628 |  -.0000619   .0002652    -0.23   0.816    -.0005819    .0004581
             c30men |  -.5514029   .1952256    -2.82   0.005     -.934242   -.1685638
           c30black |  -.0481583   .0216455    -2.22   0.026    -.0906052   -.0057114
             c30jap |   .8781653   .7214237     1.22   0.224    -.5365529    2.292884
             c30deu |   .0599176   .0841084     0.71   0.476    -.1050197     .224855
             c30ita |   .0093851    .149996     0.06   0.950    -.2847584    .3035285
             c30vet |   .2868089    .103266     2.78   0.006     .0843034    .4893144
           lc40wage |    .091711   .0405492     2.26   0.024     .0121937    .1712284
      iwarconpro_PC |   .0055703   .0048485     1.15   0.251    -.0039377    .0150782
             state1 |   .0424149   .0800973     0.53   0.596    -.1146565    .1994863
             state2 |   .0173733   .0737384     0.24   0.814    -.1272283    .1619749
             state3 |   .0414289   .0757984     0.55   0.585    -.1072124    .1900701
             state4 |   .0173276   .0770291     0.22   0.822    -.1337272    .1683823
             state5 |   .1000034   .0867889     1.15   0.249    -.0701904    .2701972
             state6 |   .0195014    .074524     0.26   0.794    -.1266409    .1656436
             state7 |          0  (omitted)
             state8 |   .0074689   .0730163     0.10   0.919    -.1357166    .1506544
             state9 |   .0394779   .0694349     0.57   0.570    -.0966845    .1756403
            state10 |   .0133554   .0690855     0.19   0.847    -.1221217    .1488326
            state11 |  -.0008844   .0689184    -0.01   0.990     -.136034    .1342652
            state12 |  -.0238347   .0687906    -0.35   0.729    -.1587337    .1110643
            state13 |   .0057214   .0691896     0.08   0.934    -.1299601    .1414028
            state14 |   .0209413   .0687044     0.30   0.761    -.1137885    .1556712
            state15 |  -.0316833   .0704745    -0.45   0.653    -.1698845    .1065179
            state16 |   .0203536    .068881     0.30   0.768    -.1147226    .1554299
            state17 |   .0141605   .0697436     0.20   0.839    -.1226073    .1509284
            state18 |    .002656   .0694785     0.04   0.970     -.133592     .138904
            state19 |   .0511298   .0697958     0.73   0.464    -.0857405        .188
            state20 |   .0060434   .0689961     0.09   0.930    -.1292585    .1413454
            state21 |   .0097185   .0698865     0.14   0.889    -.1273294    .1467665
            state22 |   .0420851   .0699937     0.60   0.548    -.0951732    .1793434
            state23 |   .0022822   .0689365     0.03   0.974    -.1329028    .1374673
            state24 |   .0180721   .0712304     0.25   0.800    -.1216113    .1577555
            state25 |   .0436723   .0687356     0.64   0.525    -.0911188    .1784633
            state26 |   .0147086   .0686656     0.21   0.830    -.1199452    .1493624
            state27 |   .0157335   .0719328     0.22   0.827    -.1253273    .1567943
            state28 |   .0286874   .0695144     0.41   0.680    -.1076309    .1650057
            state29 |   .0128963    .068983     0.19   0.852    -.1223799    .1481725
            state30 |   .0278672   .0695782     0.40   0.689    -.1085762    .1643106
            state31 |   .0725418   .0759497     0.96   0.340    -.0763962    .2214798
            state32 |   .0503679   .0705554     0.71   0.475    -.0879919    .1887276
            state33 |    .161736   .0707823     2.28   0.022     .0229312    .3005408
            state34 |    .058276   .0752633     0.77   0.439    -.0893161     .205868
            state35 |   .0372625   .0719127     0.52   0.604     -.103759     .178284
            state36 |   .0545348   .0713236     0.76   0.445    -.0853314    .1944009
            state37 |   .1110815    .071003     1.56   0.118    -.0281561    .2503191
            state38 |   .0312047   .0711079     0.44   0.661    -.1082385    .1706479
            state39 |   .0719361   .0707886     1.02   0.310     -.066881    .2107532
              _cons |  -.1820191   .2655425    -0.69   0.493    -.7027502    .3387121
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00002089    .00006865  -.3043      .76093126
Goodman-1 (Aroian)  -.00002089    .00009745  -.2143      .83027901
Goodman-2           -.00002089    .       .      .

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .353741   1.09992   .321607    .747751
b coefficient   = -.000059   .000063  -.939067    .347696
Indirect effect = -.000021   .000069  -.304258    .760931
  Direct effect =  .013192   .003297   4.00072    .000063
   Total effect =  .013171   .003297   3.99458    .000065

Proportion of total effect that is mediated:  -.00158585
Ratio of indirect to direct effect:           -.00158334
Ratio of total to direct effect:              .99841666

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =     77.81
       Model |  2401.94888        55  43.6717978   Prob > F        =    0.0000
    Residual |  1275.78955     2,273  .561280049   R-squared       =    0.6531
-------------+----------------------------------   Adj R-squared   =    0.6447
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .74919

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995    .021212    11.00   0.000     .1918026    .2749963
         ww1_vol_sh |   .4505476   .0778318     5.79   0.000     .2979187    .6031765
ww1_awards_pop10_is |   .5719262   .1808513     3.16   0.002     .2172753     .926577
             lpop30 |  -.1484064   .0295989    -5.01   0.000    -.2064501   -.0903628
           c30unemp |   1.605957   .5075626     3.16   0.002     .6106231    2.601292
          c30urban1 |   .1167555   .0457463     2.55   0.011     .0270466    .2064644
            c30farm |  -.4338444   .1500151    -2.89   0.004    -.7280253   -.1396635
            iYf_T29 |   .0609448   .0357237     1.71   0.088    -.0091096    .1309992
           MEAN9628 |   .0022342    .001705     1.31   0.190    -.0011093    .0055777
             c30men |  -6.462308   1.255323    -5.15   0.000    -8.924007   -4.000609
           c30black |  -1.176993   .1385379    -8.50   0.000    -1.448667   -.9053188
             c30jap |   11.08854    4.64075     2.39   0.017     1.987988    20.18909
             c30deu |  -.0658039   .5402583    -0.12   0.903    -1.125255     .993647
             c30ita |  -.4954921   .9560853    -0.52   0.604    -2.370383    1.379399
             c30vet |   3.894608   .6551297     5.94   0.000     2.609893    5.179323
           lc40wage |   1.038707   .0985472    10.54   0.000     .8454553    1.231959
      iwarconpro_PC |   .2327704   .0308048     7.56   0.000     .1723619    .2931789
             state1 |   .1571952   .5151299     0.31   0.760    -.8529789    1.167369
             state2 |   .0429352   .4742012     0.09   0.928    -.8869772    .9728476
             state3 |   .0801413    .487612     0.16   0.869    -.8760698    1.036352
             state4 |   .4654808   .4954888     0.94   0.348    -.5061769    1.437138
             state5 |   .0963265   .5580123     0.17   0.863    -.9979403    1.190593
             state6 |   .6521373   .4793749     1.36   0.174    -.2879209    1.592195
             state7 |          0  (omitted)
             state8 |  -.2085551   .4697151    -0.44   0.657     -1.12967    .7125599
             state9 |    .292808   .4466549     0.66   0.512    -.5830859    1.168702
            state10 |  -.1652436   .4442773    -0.37   0.710    -1.036475    .7059878
            state11 |   .1321307   .4432461     0.30   0.766    -.7370785     1.00134
            state12 |  -.2081895   .4424545    -0.47   0.638    -1.075846    .6594675
            state13 |  -.0021323   .4450587    -0.00   0.996     -.874896    .8706315
            state14 |  -.0780199   .4419576    -0.18   0.860    -.9447023    .7886625
            state15 |   .2321719   .4532121     0.51   0.609    -.6565807    1.120924
            state16 |  -.0857693   .4428783    -0.19   0.846    -.9542573    .7827186
            state17 |   .2339259   .4485104     0.52   0.602    -.6456066    1.113458
            state18 |  -.6721801   .4468989    -1.50   0.133    -1.548552    .2041923
            state19 |   .5582751   .4486342     1.24   0.213    -.3215002     1.43805
            state20 |   .1555687   .4438531     0.35   0.726    -.7148308    1.025968
            state21 |  -.4975028    .449045    -1.11   0.268    -1.378084    .3830781
            state22 |   .3674748   .4500196     0.82   0.414    -.5150172    1.249967
            state23 |  -.0757363   .4431825    -0.17   0.864    -.9448209    .7933483
            state24 |   -.171164   .4579103    -0.37   0.709     -1.06913    .7268018
            state25 |   1.156146   .4419967     2.62   0.009     .2893863    2.022905
            state26 |  -.0455872   .4417001    -0.10   0.918    -.9117648    .8205904
            state27 |  -.4871765   .4627358    -1.05   0.293    -1.394605    .4202522
            state28 |    .483838   .4469422     1.08   0.279    -.3926194    1.360295
            state29 |   -.092698   .4437295    -0.21   0.835    -.9628552    .7774592
            state30 |   .2411078   .4474396     0.54   0.590     -.636325    1.118541
            state31 |  -.4828558   .4885859    -0.99   0.323    -1.440977    .4752652
            state32 |   .2658351   .4538132     0.59   0.558    -.6240963    1.155766
            state33 |   1.522315   .4553089     3.34   0.001     .6294502    2.415179
            state34 |   .0826787   .4835277     0.17   0.864     -.865523     1.03088
            state35 |   .1598769   .4624487     0.35   0.730    -.7469888    1.066743
            state36 |  -.1803996   .4587959    -0.39   0.694    -1.080102     .719303
            state37 |   .5860987   .4567233     1.28   0.200    -.3095394    1.481737
            state38 |    .357256   .4574389     0.78   0.435    -.5397855    1.254297
            state39 |   .7876084   .4553843     1.73   0.084     -.105404    1.680621
              _cons |  -4.390309   1.093959    -4.01   0.000    -6.535572   -2.245047
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(55, 2273)     =   1392.57
       Model |   115589123        55  2101620.42   Prob > F        =    0.0000
    Residual |  3430342.46     2,273  1509.16958   R-squared       =    0.9712
-------------+----------------------------------   Adj R-squared   =    0.9705
       Total |   119019466     2,328  51125.2001   Root MSE        =    38.848

-------------------------------------------------------------------------------------
            c40wage |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3537409   1.099918     0.32   0.748    -1.803208    2.510689
         ww1_vol_sh |  -15.12418   4.035864    -3.75   0.000    -23.03855    -7.20982
ww1_awards_pop10_is |   1.944534   9.377796     0.21   0.836     -16.4454    20.33447
             lpop30 |   11.98075    1.53481     7.81   0.000     8.970978    14.99053
           c30unemp |  -80.66487   26.31896    -3.06   0.002    -132.2766   -29.05317
          c30urban1 |  -21.37202   2.372113    -9.01   0.000    -26.02376   -16.72029
            c30farm |  -10.45702    7.77883    -1.34   0.179    -25.71137    4.797325
            iYf_T29 |  -4.534407   1.852402    -2.45   0.014    -8.166982   -.9018322
           MEAN9628 |   .1314475    .088409     1.49   0.137    -.0419234    .3048183
             c30men |  -93.36021   65.09308    -1.43   0.152    -221.0083    34.28784
           c30black |   34.66676   7.183694     4.83   0.000     20.57948    48.75405
             c30jap |  -102.9416   240.6398    -0.43   0.669    -574.8382     368.955
             c30deu |   73.31218   28.01436     2.62   0.009      18.3758    128.2486
             c30ita |   322.2079    49.5765     6.50   0.000      224.988    419.4279
             c30vet |    272.125   33.97086     8.01   0.000     205.5079    338.7422
           lc40wage |   597.0863   5.110031   116.85   0.000     587.0655    607.1071
      iwarconpro_PC |   12.09057   1.597341     7.57   0.000      8.95817    15.22297
             state1 |  -29.45949   26.71136    -1.10   0.270    -81.84069     22.9217
             state2 |  -30.43769   24.58905    -1.24   0.216    -78.65702    17.78165
             state3 |  -2.233456   25.28446    -0.09   0.930    -51.81648    47.34957
             state4 |  -15.86053    25.6929    -0.62   0.537    -66.24451    34.52345
             state5 |  -45.45897   28.93497    -1.57   0.116    -102.2007    11.28274
             state6 |  -15.31266   24.85733    -0.62   0.538    -64.05809    33.43278
             state7 |          0  (omitted)
             state8 |   1.405371   24.35643     0.06   0.954     -46.3578    49.16854
             state9 |  -10.81272   23.16068    -0.47   0.641      -56.231    34.60557
            state10 |  -28.66384   23.03739    -1.24   0.214    -73.84036    16.51267
            state11 |  -24.16509   22.98392    -1.05   0.293    -69.23675    20.90657
            state12 |  -20.44642   22.94288    -0.89   0.373    -65.43759    24.54475
            state13 |  -14.74517   23.07791    -0.64   0.523    -60.00114     30.5108
            state14 |  -10.23409   22.91711    -0.45   0.655    -55.17472    34.70655
            state15 |  -29.06584   23.50069    -1.24   0.216    -75.15089    17.01922
            state16 |  -35.66454   22.96485    -1.55   0.121     -80.6988    9.369713
            state17 |  -28.87433   23.25689    -1.24   0.215    -74.48129    16.73263
            state18 |  -17.83719   23.17333    -0.77   0.442    -63.28029     27.6059
            state19 |  -44.69469   23.26331    -1.92   0.055    -90.31424    .9248586
            state20 |   1.845275    23.0154     0.08   0.936    -43.28811    46.97866
            state21 |  -54.28026   23.28462    -2.33   0.020    -99.94158   -8.618938
            state22 |  -37.22283   23.33515    -1.60   0.111    -82.98326    8.537592
            state23 |  -39.48588   22.98063    -1.72   0.086    -84.55107    5.579318
            state24 |   -42.0989   23.74431    -1.77   0.076    -88.66169    4.463893
            state25 |  -31.27156   22.91914    -1.36   0.173    -76.21618    13.67306
            state26 |  -12.11318   22.90376    -0.53   0.597    -57.02764    32.80128
            state27 |  -7.335888   23.99453    -0.31   0.760    -54.38936    39.71759
            state28 |  -36.62947   23.17558    -1.58   0.114    -82.07697    8.818035
            state29 |  -14.67993   23.00899    -0.64   0.524    -59.80075    30.44088
            state30 |  -29.44915   23.20137    -1.27   0.204    -74.94723    16.04893
            state31 |   1.608452   25.33496     0.06   0.949    -48.07361    51.29051
            state32 |  -19.93014   23.53186    -0.85   0.397    -66.07632    26.21603
            state33 |  -14.09092   23.60942    -0.60   0.551    -60.38919    32.20735
            state34 |   61.68182   25.07267     2.46   0.014     12.51411    110.8495
            state35 |  -30.80219   23.97965    -1.28   0.199    -77.82647     16.2221
            state36 |  -13.08369   23.79024    -0.55   0.582    -59.73654    33.56916
            state37 |   15.14165   23.68276     0.64   0.523    -31.30044    61.58374
            state38 |  -.5190799   23.71987    -0.02   0.983    -47.03394    45.99578
            state39 |   1.911992   23.61333     0.08   0.935    -44.39395    48.21793
              _cons |  -3243.491   56.72575   -57.18   0.000    -3354.731   -3132.251
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     78.26
       Model |  2422.04644        56  43.2508293   Prob > F        =    0.0000
    Residual |  1255.69199     2,272  .552681333   R-squared       =    0.6586
-------------+----------------------------------   Adj R-squared   =    0.6502
       Total |  3677.73843     2,328  1.57978455   Root MSE        =    .74343

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            c40wage |  -.0024205   .0004014    -6.03   0.000    -.0032076   -.0016334
           iAGRI_PF |   .2342557   .0210493    11.13   0.000     .1929778    .2755337
         ww1_vol_sh |   .4139397   .0774716     5.34   0.000     .2620173    .5658621
ww1_awards_pop10_is |   .5766329   .1794623     3.21   0.001     .2247057    .9285601
             lpop30 |  -.1194072   .0297624    -4.01   0.000    -.1777715   -.0610429
           c30unemp |   1.410709   .5046993     2.80   0.005     .4209893    2.400429
          c30urban1 |   .0650247    .046198     1.41   0.159      -.02557    .1556194
            c30farm |  -.4591555   .1489208    -3.08   0.002    -.7511904   -.1671206
            iYf_T29 |   .0499693   .0354957     1.41   0.159     -.019638    .1195766
           MEAN9628 |   .0025524   .0016927     1.51   0.132     -.000767    .0058717
             c30men |  -6.688285   1.246234    -5.37   0.000    -9.132161    -4.24441
           c30black |  -1.093082   .1381751    -7.91   0.000    -1.364045   -.8221198
             c30jap |   10.83937   4.605251     2.35   0.019     1.808432    19.87031
             c30deu |   .1116474    .536911     0.21   0.835    -.9412397    1.164534
             c30ita |   .2844083   .9575082     0.30   0.766    -1.593274     2.16209
             c30vet |   4.553283   .6592046     6.91   0.000     3.260577    5.845989
           lc40wage |   2.483947   .2588482     9.60   0.000     1.976344    2.991551
      iwarconpro_PC |   .2620355   .0309508     8.47   0.000     .2013407    .3227303
             state1 |   .0858888   .5113056     0.17   0.867    -.9167859    1.088564
             state2 |  -.0307389   .4707134    -0.07   0.948    -.9538119    .8923342
             state3 |   .0747352   .4838633     0.15   0.877     -.874125    1.023595
             state4 |   .4270906     .49172     0.87   0.385    -.5371766    1.391358
             state5 |  -.0137064   .5540221    -0.02   0.980    -1.100148    1.072736
             state6 |   .6150732   .4757285     1.29   0.196    -.3178345    1.547981
             state7 |          0  (omitted)
             state8 |  -.2051535   .4661035    -0.44   0.660    -1.119187    .7088796
             state9 |    .266636   .4432416     0.60   0.548    -.6025646    1.135837
            state10 |   -.234624   .4410111    -0.53   0.595    -1.099451    .6302026
            state11 |   .0736394   .4399447     0.17   0.867     -.789096    .9363748
            state12 |  -.2576798    .439129    -0.59   0.557    -1.118816     .603456
            state13 |  -.0378228   .4416761    -0.09   0.932    -.9039534    .8283078
            state14 |  -.1027914   .4385784    -0.23   0.815    -.9628474    .7572646
            state15 |   .1618183   .4498784     0.36   0.719    -.7203971    1.044034
            state16 |  -.1720949   .4397059    -0.39   0.696    -1.034362    .6901721
            state17 |    .164036   .4452124     0.37   0.713    -.7090295    1.037101
            state18 |  -.7153548   .4435202    -1.61   0.107    -1.585102    .1543923
            state19 |   .4500922   .4455458     1.01   0.313    -.4236269    1.323811
            state20 |   .1600352   .4404407     0.36   0.716    -.7036729    1.023743
            state21 |  -.6288875   .4461244    -1.41   0.159    -1.503741    .2459663
            state22 |   .2773774    .446809     0.62   0.535     -.598819    1.153574
            state23 |  -.1713114   .4400602    -0.39   0.697    -1.034273    .6916504
            state24 |  -.2730639   .4547033    -0.60   0.548    -1.164741    .6186132
            state25 |   1.080453   .4387776     2.46   0.014     .2200064      1.9409
            state26 |   -.074907   .4383307    -0.17   0.864    -.9344773    .7846632
            state27 |  -.5049329    .459187    -1.10   0.272    -1.405403    .3955368
            state28 |   .3951768   .4437491     0.89   0.373     -.475019    1.265373
            state29 |  -.1282306   .4403569    -0.29   0.771    -.9917743    .7353131
            state30 |   .1698265   .4441564     0.38   0.702     -.701168    1.040821
            state31 |  -.4789626   .4848294    -0.99   0.323    -1.429717     .471792
            state32 |   .2175944   .4503946     0.48   0.629    -.6656334    1.100822
            state33 |   1.488208   .4518432     3.29   0.001     .6021394    2.374276
            state34 |   .2319788   .4804479     0.48   0.629    -.7101838    1.174141
            state35 |   .0853205   .4590592     0.19   0.853    -.8148986    .9855397
            state36 |  -.2120685   .4552983    -0.47   0.641    -1.104912    .6807754
            state37 |   .6227489   .4532521     1.37   0.170    -.2660823     1.51158
            state38 |   .3559996   .4539215     0.78   0.433    -.5341444    1.246144
            state39 |   .7922363   .4518833     1.75   0.080    -.0939108    1.678383
              _cons |  -12.24114   1.695106    -7.22   0.000    -15.56526   -8.917023
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00085623    .00266612  -.3212      .74809661
Goodman-1 (Aroian)  -.00085623    .00270243  -.3168      .7513685
Goodman-2           -.00085623    .00262931  -.3256      .74469213

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .353741   1.09992   .321607    .747751
b coefficient   =  -.00242   .000401  -6.03024    1.6e-09
Indirect effect = -.000856   .002666   -.32115    .748097
  Direct effect =  .234256   .021049   11.1289          0
   Total effect =  .233399   .021212   11.0032          0

Proportion of total effect that is mediated:  -.0036685
Ratio of indirect to direct effect:           -.00365509
Ratio of total to direct effect:              .99634491

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.26        0.26
          2 |         16        0.53        0.79
          3 |         12        0.40        1.19
          4 |         10        0.33        1.52
          5 |          5        0.17        1.69
          6 |         14        0.46        2.15
         11 |          3        0.10        2.25
         12 |         21        0.69        2.95
         13 |         58        1.92        4.86
         14 |         66        2.18        7.05
         21 |        102        3.38       10.42
         22 |         92        3.04       13.47
         23 |         83        2.75       16.21
         24 |         85        2.81       19.03
         25 |         70        2.32       21.34
         31 |         98        3.24       24.59
         32 |        100        3.31       27.90
         33 |         86        2.85       30.74
         34 |        114        3.77       34.51
         35 |         91        3.01       37.52
         36 |         53        1.75       39.28
         37 |         66        2.18       41.46
         40 |        100        3.31       44.77
         41 |         66        2.18       46.96
         42 |         75        2.48       49.44
         43 |         65        2.15       51.59
         44 |        157        5.20       56.78
         45 |         64        2.12       58.90
         46 |         82        2.71       61.61
         47 |         99        3.28       64.89
         48 |         46        1.52       66.41
         49 |        248        8.21       74.62
         51 |        120        3.97       78.59
         52 |         22        0.73       79.32
         53 |         77        2.55       81.87
         54 |         95        3.14       85.01
         56 |         55        1.82       86.83
         61 |         12        0.40       87.23
         62 |         62        2.05       89.28
         63 |         43        1.42       90.70
         64 |         52        1.72       92.42
         65 |         17        0.56       92.98
         66 |         28        0.93       93.91
         67 |         29        0.96       94.87
         68 |         23        0.76       95.63
         71 |         58        1.92       97.55
         72 |         36        1.19       98.74
         73 |         38        1.26      100.00
------------+-----------------------------------
      Total |      3,022      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(64, 2931)     =     99.17
       Model |   923.50253        64   14.429727   Prob > F        =    0.0000
    Residual |  426.490145     2,931  .145510114   R-squared       =    0.6841
-------------+----------------------------------   Adj R-squared   =    0.6772
       Total |  1349.99267     2,995  .450748806   Root MSE        =    .38146

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1600314   .0097406    16.43   0.000     .1409323    .1791305
         ww1_vol_sh |  -.0077285   .0337883    -0.23   0.819    -.0739797    .0585227
ww1_awards_pop10_is |   .2016397   .0807107     2.50   0.013     .0433843    .3598951
             lpop30 |  -.0427123   .0136884    -3.12   0.002    -.0695521   -.0158726
           c30unemp |  -.4244068   .2378675    -1.78   0.074    -.8908112    .0419975
          c30urban1 |   .0510182   .0205153     2.49   0.013     .0107923    .0912441
            c30farm |  -.4282707    .072011    -5.95   0.000    -.5694681   -.2870733
            iYf_T29 |   .0581522    .016258     3.58   0.000      .026274    .0900305
           MEAN9628 |   .0021646   .0008106     2.67   0.008     .0005752    .0037541
             c30men |   -1.52245    .585914    -2.60   0.009    -2.671295   -.3736053
           c30black |  -.2525387   .0699733    -3.61   0.000    -.3897404    -.115337
             c30jap |   5.585955   2.242596     2.49   0.013     1.188732    9.983179
             c30deu |    .584274   .1924899     3.04   0.002     .2068449     .961703
             c30ita |   .1428116   .4567549     0.31   0.755    -.7527815    1.038405
             c30vet |   .9495261   .2989127     3.18   0.002      .363426    1.535626
           lc40wage |   .4832195   .0466918    10.35   0.000     .3916675    .5747714
      iwarconpro_PC |    .278102   .0144672    19.22   0.000     .2497351    .3064689
             state1 |   .3224965   .2182763     1.48   0.140    -.1054939    .7504869
             state2 |   .3296269   .2035318     1.62   0.105    -.0694528    .7287066
             state3 |   .1705912   .2063952     0.83   0.409    -.2341031    .5752855
             state4 |   .3690277   .2159698     1.71   0.088    -.0544402    .7924956
             state5 |          0  (omitted)
             state6 |   .3855677   .2055814     1.88   0.061    -.0175308    .7886663
             state7 |   .6501275   .2835085     2.29   0.022     .0942315    1.206024
             state8 |   .2525169    .191447     1.32   0.187    -.1228674    .6279012
             state9 |   .4025415   .1812565     2.22   0.026     .0471386    .7579444
            state10 |   .4683669   .1825419     2.57   0.010     .1104435    .8262904
            state11 |   .4257916   .1831889     2.32   0.020     .0665996    .7849836
            state12 |   .3569236   .1840136     1.94   0.053    -.0038854    .7177326
            state13 |   .3535725   .1850551     1.91   0.056    -.0092787    .7164238
            state14 |    .334866   .1837147     1.82   0.068     -.025357     .695089
            state15 |   .3835248   .1880501     2.04   0.041     .0148011    .7522485
            state16 |   .8569835   .1850977     4.63   0.000     .4940488    1.219918
            state17 |   .7137097   .1847806     3.86   0.000     .3513968    1.076023
            state18 |    .681586   .1874121     3.64   0.000     .3141132    1.049059
            state19 |   .3519929   .1839866     1.91   0.056    -.0087631    .7127489
            state20 |   .8295294   .1861882     4.46   0.000     .4644566    1.194602
            state21 |   .9121355   .1911669     4.77   0.000     .5373004    1.286971
            state22 |    .722305   .1889158     3.82   0.000     .3518839    1.092726
            state23 |   .3967055   .1854728     2.14   0.033     .0330354    .7603756
            state24 |   .3163729   .1891339     1.67   0.094    -.0544758    .6872216
            state25 |  -.0423849   .1870441    -0.23   0.821    -.4091361    .3243664
            state26 |    .309083   .1874468     1.65   0.099    -.0584576    .6766237
            state27 |   .1296829   .1852251     0.70   0.484    -.2335016    .4928674
            state28 |   .0474512   .1880531     0.25   0.801    -.3212783    .4161808
            state29 |   .2633188   .1899363     1.39   0.166    -.1091033    .6357409
            state30 |   .2260467   .1851355     1.22   0.222    -.1369621    .5890555
            state31 |  -.0888665   .1950982    -0.46   0.649    -.4714099    .2936768
            state32 |   .3963785   .1844454     2.15   0.032     .0347228    .7580341
            state33 |   .0578012   .1838431     0.31   0.753    -.3026735    .4182758
            state34 |   .2485568   .1973872     1.26   0.208    -.1384748    .6355884
            state35 |   .3985328   .1866364     2.14   0.033      .032581    .7644846
            state36 |   .1782705   .1849958     0.96   0.335    -.1844645    .5410055
            state37 |   .2641111   .1867902     1.41   0.157    -.1021421    .6303643
            state38 |   .3639522    .212908     1.71   0.087    -.0535123    .7814166
            state39 |   .3866825   .1857602     2.08   0.037     .0224489    .7509162
            state40 |   .4525133   .1896924     2.39   0.017     .0805694    .8244571
            state41 |   .8844137   .1909913     4.63   0.000      .509923    1.258904
            state42 |   .4434782   .2044228     2.17   0.030     .0426514     .844305
            state43 |   .1177896   .1961934     0.60   0.548    -.2669011    .5024804
            state44 |   .2329907   .1925878     1.21   0.226    -.1446304    .6106118
            state45 |   .6014917   .2004903     3.00   0.003     .2083755    .9946078
            state46 |    .425509    .188925     2.25   0.024     .0550699    .7959481
            state47 |    .860915   .1930552     4.46   0.000     .4823775    1.239453
            state48 |   .7509392   .1913614     3.92   0.000     .3757228    1.126156
              _cons |   1.022827   .4928526     2.08   0.038     .0564543    1.989199
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(64, 2931)     =    345.99
       Model |  1099622.47        64  17181.6011   Prob > F        =    0.0000
    Residual |  145549.639     2,931  49.6586964   R-squared       =    0.8831
-------------+----------------------------------   Adj R-squared   =    0.8806
       Total |  1245172.11     2,995  415.750288   Root MSE        =    7.0469

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |    .347392   .1799439     1.93   0.054    -.0054372    .7002212
         ww1_vol_sh |  -.8546772   .6241908    -1.37   0.171    -2.078574    .3692197
ww1_awards_pop10_is |    .632506   1.491016     0.42   0.671    -2.291038     3.55605
             lpop30 |   1.845834    .252873     7.30   0.000     1.350007     2.34166
           c30unemp |   6.345341   4.394264     1.44   0.149    -2.270817     14.9615
          c30urban1 |   .0382891   .3789918     0.10   0.920     -.704828    .7814062
            c30farm |  -8.971315   1.330302    -6.74   0.000    -11.57974   -6.362895
            iYf_T29 |  -.5550155   .3003433    -1.85   0.065    -1.143921    .0338898
           MEAN9628 |   .6813123   .0149751    45.50   0.000     .6519496     .710675
             c30men |    110.073   10.82393    10.17   0.000     88.84977    131.2963
           c30black |   12.09292   1.292656     9.36   0.000     9.558316    14.62753
             c30jap |     54.363   41.42878     1.31   0.190    -26.86945    135.5955
             c30deu |  -62.69132   3.555977   -17.63   0.000    -69.66379   -55.71886
             c30ita |    51.3742   8.437899     6.09   0.000     34.82939    67.91901
             c30vet |  -22.90556   5.521987    -4.15   0.000    -33.73292   -12.07819
           lc40wage |   .7972325   .8625638     0.92   0.355    -.8940599    2.488525
      iwarconpro_PC |   .8730947   .2672609     3.27   0.001     .3490566    1.397133
             state1 |   .5789896   4.032345     0.14   0.886    -7.327526    8.485505
             state2 |   1.463492    3.75996     0.39   0.697    -5.908939    8.835923
             state3 |   3.222768   3.812858     0.85   0.398    -4.253384    10.69892
             state4 |   4.592126   3.989736     1.15   0.250    -3.230843     12.4151
             state5 |          0  (omitted)
             state6 |   9.412511   3.797824     2.48   0.013     1.965838    16.85918
             state7 |   .5820653   5.237417     0.11   0.912    -9.687324    10.85145
             state8 |   .7841897   3.536712     0.22   0.825    -6.150501    7.718881
             state9 |   -10.6166   3.348456    -3.17   0.002    -17.18216   -4.051035
            state10 |   1.172118   3.372203     0.35   0.728    -5.440009    7.784245
            state11 |   4.080901   3.384155     1.21   0.228    -2.554662    10.71646
            state12 |   .9741765    3.39939     0.29   0.774    -5.691258    7.639611
            state13 |   4.483074   3.418631     1.31   0.190    -2.220087    11.18624
            state14 |   -.074289   3.393868    -0.02   0.983    -6.728897    6.580319
            state15 |   16.57354   3.473958     4.77   0.000     9.761898    23.38519
            state16 |    13.6031   3.419417     3.98   0.000     6.898394     20.3078
            state17 |    .754373   3.413559     0.22   0.825    -5.938843    7.447589
            state18 |   19.88116   3.462173     5.74   0.000     13.09263     26.6697
            state19 |   1.224255   3.398891     0.36   0.719    -5.440201     7.88871
            state20 |   3.461715   3.439562     1.01   0.314    -3.282488    10.20592
            state21 |   8.733193   3.531538     2.47   0.013     1.808647    15.65774
            state22 |   8.971584   3.489951     2.57   0.010      2.12858    15.81459
            state23 |   8.286896   3.426346     2.42   0.016     1.568607    15.00519
            state24 |   21.08675    3.49398     6.04   0.000     14.23585    27.93765
            state25 |     19.992   3.455375     5.79   0.000     13.21679    26.76721
            state26 |   14.58403   3.462813     4.21   0.000     7.794239    21.37382
            state27 |    20.7861    3.42177     6.07   0.000     14.07678    27.49541
            state28 |   10.30388   3.474014     2.97   0.003     3.492128    17.11564
            state29 |   17.07143   3.508804     4.87   0.000     10.19146     23.9514
            state30 |   17.52834   3.420115     5.13   0.000     10.82227    24.23441
            state31 |   11.20432   3.604161     3.11   0.002     4.137371    18.27126
            state32 |   18.65515   3.407367     5.47   0.000     11.97407    25.33622
            state33 |   8.188591    3.39624     2.41   0.016     1.529333    14.84785
            state34 |   .5302238   3.646448     0.15   0.884    -6.619636    7.680083
            state35 |   9.487444   3.447843     2.75   0.006     2.727004    16.24788
            state36 |   14.05001   3.417535     4.11   0.000     7.348995    20.75102
            state37 |   4.146316   3.450683     1.20   0.230    -2.619692    10.91232
            state38 |   12.51354   3.933173     3.18   0.001     4.801478     20.2256
            state39 |   -3.28331   3.431655    -0.96   0.339    -10.01201    3.445389
            state40 |   10.61066   3.504298     3.03   0.002      3.73953     17.4818
            state41 |   12.58568   3.528292     3.57   0.000     5.667496    19.50386
            state42 |   1.456524   3.776421     0.39   0.700    -5.948182    8.861231
            state43 |   6.852217   3.624394     1.89   0.059    -.2543983    13.95883
            state44 |    6.76788   3.557787     1.90   0.057    -.2081339    13.74389
            state45 |    6.78845   3.703774     1.83   0.067    -.4738121    14.05071
            state46 |   6.915048    3.49012     1.98   0.048     .0717117    13.75838
            state47 |   11.57252   3.566421     3.24   0.001     4.579575    18.56546
            state48 |   15.73039    3.53513     4.45   0.000     8.798801    22.66198
              _cons |  -56.39887   9.104753    -6.19   0.000    -74.25123   -38.54651
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,996
-------------+----------------------------------   F(65, 2930)     =     97.87
       Model |  924.299018        65  14.2199849   Prob > F        =    0.0000
    Residual |  425.693657     2,930  .145287938   R-squared       =    0.6847
-------------+----------------------------------   Adj R-squared   =    0.6777
       Total |  1349.99267     2,995  .450748806   Root MSE        =    .38117

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |   .0023393   .0009991     2.34   0.019     .0003803    .0042983
           iAGRI_PF |   .1592188   .0097394    16.35   0.000     .1401221    .1783154
         ww1_vol_sh |  -.0057292   .0337733    -0.17   0.865     -.071951    .0604926
ww1_awards_pop10_is |   .2001601   .0806515     2.48   0.013     .0420206    .3582995
             lpop30 |  -.0470303   .0138017    -3.41   0.001    -.0740922   -.0199683
           c30unemp |  -.4392504   .2377704    -1.85   0.065    -.9054644    .0269635
          c30urban1 |   .0509286   .0204997     2.48   0.013     .0107333    .0911239
            c30farm |  -.4072842   .0725122    -5.62   0.000    -.5494641   -.2651043
            iYf_T29 |   .0594506    .016255     3.66   0.000     .0275781     .091323
           MEAN9628 |   .0005709    .001058     0.54   0.590    -.0015037    .0026454
             c30men |  -1.779943   .5957058    -2.99   0.003    -2.947987   -.6118985
           c30black |  -.2808275    .070956    -3.96   0.000    -.4199562   -.1416988
             c30jap |   5.458785   2.241541     2.44   0.015     1.063628    9.853941
             c30deu |   .7309272   .2022842     3.61   0.000     .3342935    1.127561
             c30ita |   .0226324   .4592832     0.05   0.961    -.8779182     .923183
             c30vet |   1.003109   .2995598     3.35   0.001     .4157397    1.590478
           lc40wage |   .4813545   .0466629    10.32   0.000     .3898591    .5728499
      iwarconpro_PC |   .2760595   .0144824    19.06   0.000     .2476628    .3044563
             state1 |   .3211421   .2181104     1.47   0.141     -.106523    .7488072
             state2 |   .3262034   .2033816     1.60   0.109    -.0725819    .7249886
             state3 |   .1630522   .2062627     0.79   0.429    -.2413823    .5674867
             state4 |   .3582854   .2158536     1.66   0.097    -.0649548    .7815256
             state5 |          0  (omitted)
             state6 |   .3635491   .2056395     1.77   0.077    -.0396635    .7667617
             state7 |   .6487659   .2832926     2.29   0.022     .0932932    1.204239
             state8 |   .2506824   .1913024     1.31   0.190    -.1244183    .6257832
             state9 |   .4273768   .1814284     2.36   0.019     .0716368    .7831168
            state10 |    .465625   .1824063     2.55   0.011     .1079675    .8232825
            state11 |   .4162452   .1830944     2.27   0.023     .0572385     .775252
            state12 |   .3546447   .1838756     1.93   0.054    -.0058939    .7151833
            state13 |   .3430853    .184968     1.85   0.064    -.0195952    .7057658
            state14 |   .3350398   .1835744     1.83   0.068    -.0249081    .6949877
            state15 |   .3447545   .1886347     1.83   0.068    -.0251154    .7146244
            state16 |   .8251619    .185455     4.45   0.000     .4615265    1.188797
            state17 |    .711945    .184641     3.86   0.000     .3499058    1.073984
            state18 |   .6350782   .1883195     3.37   0.001     .2658263     1.00433
            state19 |    .349129   .1838501     1.90   0.058    -.0113595    .7096176
            state20 |   .8214315   .1860781     4.41   0.000     .4565744    1.186289
            state21 |    .891706   .1912201     4.66   0.000     .5167666    1.266645
            state22 |   .7013179   .1889842     3.71   0.000     .3307626    1.071873
            state23 |   .3773201    .185516     2.03   0.042     .0135652    .7410749
            state24 |   .2670449   .1901601     1.40   0.160    -.1058161    .6399058
            state25 |  -.0891519   .1879656    -0.47   0.635    -.4577099     .279406
            state26 |   .2749667   .1878695     1.46   0.143    -.0934029    .6433364
            state27 |   .0810582   .1862451     0.44   0.663    -.2841263    .4462427
            state28 |   .0233475   .1881912     0.12   0.901     -.345653     .392348
            state29 |   .2233838   .1905561     1.17   0.241    -.1502536    .5970212
            state30 |   .1850428   .1858212     1.00   0.319    -.1793105    .5493961
            state31 |  -.1150767   .1952703    -0.59   0.556    -.4979576    .2678042
            state32 |   .3527387   .1852446     1.90   0.057     -.010484    .7159614
            state33 |   .0386457   .1838848     0.21   0.834    -.3219108    .3992021
            state34 |   .2473165   .1972372     1.25   0.210     -.139421    .6340539
            state35 |   .3763389   .1867346     2.02   0.044     .0101945    .7424833
            state36 |   .1454035   .1853868     0.78   0.433    -.2180981     .508905
            state37 |   .2544117   .1866935     1.36   0.173     -.111652    .6204754
            state38 |   .3346794   .2131125     1.57   0.116     -.083186    .7525448
            state39 |   .3943631   .1856473     2.12   0.034     .0303508    .7583755
            state40 |   .4276918   .1898437     2.25   0.024     .0554512    .7999325
            state41 |   .8549721   .1912592     4.47   0.000     .4799561    1.229988
            state42 |    .440071   .2042718     2.15   0.031     .0395401    .8406019
            state43 |   .1017603    .196163     0.52   0.604     -.282871    .4863916
            state44 |   .2171587   .1925595     1.13   0.260     -.160407    .5947243
            state45 |   .5856115    .200452     2.92   0.004     .1925705    .9786525
            state46 |   .4093327    .188907     2.17   0.030     .0389287    .7797367
            state47 |   .8338435   .1932539     4.31   0.000     .4549162    1.212771
            state48 |   .7141412     .19186     3.72   0.000     .3379471    1.090335
              _cons |    1.15476   .4956894     2.33   0.020     .1828253    2.126695
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00081265    .00054558    1.49      .13634991
Goodman-1 (Aroian)  .00081265    .00057444   1.415      .15715867
Goodman-2           .00081265    .00051511   1.578      .11464864

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .347392   .179944   1.93056    .053538
b coefficient   =  .002339   .000999    2.3414    .019212
Indirect effect =  .000813   .000546   1.48952     .13635
  Direct effect =  .159219   .009739    16.348          0
   Total effect =  .160031   .009741   16.4293          0

Proportion of total effect that is mediated:  .00507807
Ratio of indirect to direct effect:           .00510399
Ratio of total to direct effect:              1.005104

 State code |
    (ICPSR) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          8        0.34        0.34
          2 |         16        0.69        1.03
          3 |         12        0.52        1.55
          4 |         10        0.43        1.98
          5 |          5        0.21        2.19
          6 |         14        0.60        2.79
         11 |          3        0.13        2.92
         12 |         21        0.90        3.82
         13 |         58        2.49        6.31
         14 |         66        2.83        9.15
         21 |        102        4.38       13.53
         22 |         92        3.95       17.48
         23 |         83        3.56       21.04
         24 |         85        3.65       24.69
         25 |         70        3.01       27.69
         40 |        100        4.29       31.99
         41 |         66        2.83       34.82
         42 |         75        3.22       38.04
         43 |         65        2.79       40.83
         44 |        157        6.74       47.57
         45 |         64        2.75       50.32
         46 |         82        3.52       53.84
         47 |         99        4.25       58.09
         48 |         46        1.98       60.07
         49 |        248       10.65       70.72
         51 |        120        5.15       75.87
         52 |         22        0.94       76.81
         53 |         77        3.31       80.12
         54 |         95        4.08       84.20
         56 |         55        2.36       86.56
         61 |         12        0.52       87.08
         63 |         43        1.85       88.92
         64 |         52        2.23       91.16
         65 |         17        0.73       91.88
         66 |         28        1.20       93.09
         67 |         29        1.25       94.33
         71 |         58        2.49       96.82
         72 |         36        1.55       98.37
         73 |         38        1.63      100.00
------------+-----------------------------------
      Total |      2,329      100.00

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =     68.59
       Model |  166.305939        55  3.02374435   Prob > F        =    0.0000
    Residual |  99.1003989     2,248  .044083807   R-squared       =    0.6266
-------------+----------------------------------   Adj R-squared   =    0.6175
       Total |  265.406338     2,303  .115243742   Root MSE        =    .20996

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0389423    .005992     6.50   0.000     .0271918    .0506927
         ww1_vol_sh |   .0956896   .0220535     4.34   0.000     .0524422    .1389371
ww1_awards_pop10_is |   .1183551   .0507446     2.33   0.020     .0188439    .2178663
             lpop30 |     -.0126   .0083406    -1.51   0.131    -.0289561     .003756
           c30unemp |   .6632335   .1430222     4.64   0.000     .3827641     .943703
          c30urban1 |   .0035365    .012891     0.27   0.784    -.0217431     .028816
            c30farm |   -.070657   .0429418    -1.65   0.100    -.1548668    .0135528
            iYf_T29 |  -.0293054   .0100968    -2.90   0.004    -.0491054   -.0095054
           MEAN9628 |  -.0006295   .0004822    -1.31   0.192     -.001575    .0003161
             c30men |  -1.562761     .35787    -4.37   0.000    -2.264551   -.8609706
           c30black |  -.4259997   .0391936   -10.87   0.000    -.5028591   -.3491402
             c30jap |   .7604284   1.301161     0.58   0.559    -1.791175    3.312031
             c30deu |  -.7220834   .1526472    -4.73   0.000    -1.021428   -.4227391
             c30ita |  -.2304947   .2680804    -0.86   0.390    -.7562057    .2952164
             c30vet |    1.22916   .1874859     6.56   0.000      .861497    1.596824
           lc40wage |   .2149015   .0280611     7.66   0.000     .1598732    .2699298
      iwarconpro_PC |  -.0352395    .008665    -4.07   0.000    -.0522318   -.0182472
             state1 |     .00657   .1202862     0.05   0.956    -.2293136    .2424536
             state2 |   .0165664   .1125784     0.15   0.883     -.204202    .2373348
             state3 |   .0342571   .1139098     0.30   0.764    -.1891223    .2576366
             state4 |   .2503571    .119337     2.10   0.036     .0163349    .4843794
             state5 |          0  (omitted)
             state6 |   .3116732   .1136361     2.74   0.006     .0888306    .5345158
             state7 |  -.1532257   .1564079    -0.98   0.327    -.4599448    .1534934
             state8 |  -.0840145   .1056863    -0.79   0.427    -.2912674    .1232384
             state9 |   .0582367   .1001528     0.58   0.561     -.138165    .2546383
            state10 |  -.1815632   .1009475    -1.80   0.072    -.3795232    .0163969
            state11 |   .0237789   .1018482     0.23   0.815    -.1759476    .2235053
            state12 |  -.0752161   .1020357    -0.74   0.461    -.2753101    .1248778
            state13 |  -.0265348    .102897    -0.26   0.797    -.2283179    .1752483
            state14 |  -.0808767   .1018513    -0.79   0.427    -.2806091    .1188557
            state15 |    .205463   .1059573     1.94   0.053    -.0023213    .4132473
            state16 |  -.1364909   .1027606    -1.33   0.184    -.3380065    .0650247
            state17 |   .1023366   .1048984     0.98   0.329    -.1033712    .3080443
            state18 |  -.2177365   .1037309    -2.10   0.036    -.4211548   -.0143182
            state19 |   .2325768   .1038149     2.24   0.025     .0289936      .43616
            state20 |   .1782346   .1026922     1.74   0.083    -.0231468    .3796159
            state21 |   -.173144    .104153    -1.66   0.097      -.37739    .0311021
            state22 |   .1562496   .1053354     1.48   0.138    -.0503153    .3628145
            state23 |  -.0079552   .1025899    -0.08   0.938    -.2091359    .1932255
            state24 |     .07972   .1082455     0.74   0.462    -.1325515    .2919916
            state25 |   .5388892   .1024857     5.26   0.000     .3379127    .7398657
            state26 |    .062854   .1019148     0.62   0.537     -.137003     .262711
            state27 |  -.2814755    .109244    -2.58   0.010    -.4957051   -.0672459
            state28 |   .1484533   .1037172     1.43   0.152    -.0549382    .3518447
            state29 |  -.0217085   .1025725    -0.21   0.832    -.2228551    .1794382
            state30 |    .117191   .1034197     1.13   0.257    -.0856171    .3199991
            state31 |  -.4800611   .1180341    -4.07   0.000    -.7115283   -.2485939
            state32 |  -.0476608   .1053055    -0.45   0.651    -.2541669    .1588454
            state33 |   .1804156   .1066008     1.69   0.091    -.0286306    .3894619
            state34 |  -.1334267   .1138265    -1.17   0.241    -.3566427    .0897892
            state35 |   .0984987   .1089517     0.90   0.366    -.1151579    .3121552
            state36 |  -.1972542    .106578    -1.85   0.064    -.4062557    .0117474
            state37 |   .0172923   .1051245     0.16   0.869    -.1888589    .2234435
            state38 |  -.1378525    .107311    -1.28   0.199    -.3482915    .0725864
            state39 |   .0626116   .1063769     0.59   0.556    -.1459955    .2712188
              _cons |  -.0993818   .2917064    -0.34   0.733    -.6714238    .4726603
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    307.06
       Model |  844123.315        55  15347.6966   Prob > F        =    0.0000
    Residual |  112361.682     2,248  49.9829546   R-squared       =    0.8825
-------------+----------------------------------   Adj R-squared   =    0.8797
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0699

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2949049    .201764     1.46   0.144    -.1007583    .6905681
         ww1_vol_sh |  -.9528401   .7425912    -1.28   0.200    -2.409076    .5033959
ww1_awards_pop10_is |  -.0170007   1.708682    -0.01   0.992    -3.367761    3.333759
             lpop30 |   1.931627   .2808452     6.88   0.000     1.380884     2.48237
           c30unemp |   6.670144   4.815873     1.39   0.166    -2.773878    16.11417
          c30urban1 |  -.0466064   .4340687    -0.11   0.915    -.8978238    .8046109
            c30farm |  -8.268247   1.445946    -5.72   0.000    -11.10378   -5.432718
            iYf_T29 |  -.6701823   .3399811    -1.97   0.049    -1.336892   -.0034726
           MEAN9628 |   .6843059   .0162362    42.15   0.000     .6524664    .7161454
             c30men |   102.6795   12.05027     8.52   0.000     79.04868    126.3103
           c30black |     11.634   1.319735     8.82   0.000     9.045976    14.22203
             c30jap |   36.34934   43.81295     0.83   0.407    -49.56874    122.2674
             c30deu |  -74.42995   5.139968   -14.48   0.000    -84.50953   -64.35038
             c30ita |   53.89533   9.026856     5.97   0.000     36.19348    71.59717
             c30vet |  -22.75821   6.313061    -3.60   0.000    -35.13825   -10.37818
           lc40wage |     .65771   .9448773     0.70   0.486    -1.195213    2.510633
      iwarconpro_PC |   1.054775   .2917708     3.62   0.000     .4826066    1.626943
             state1 |   .8925682   4.050299     0.22   0.826    -7.050149    8.835285
             state2 |   1.505644   3.790761     0.40   0.691    -5.928113    8.939402
             state3 |   3.413136   3.835594     0.89   0.374     -4.10854    10.93481
             state4 |   4.750181   4.018339     1.18   0.237    -3.129861    12.63022
             state5 |          0  (omitted)
             state6 |    9.61575   3.826375     2.51   0.012     2.112152    17.11935
             state7 |   .8664899   5.266599     0.16   0.869    -9.461414    11.19439
             state8 |   1.617984   3.558689     0.45   0.649    -5.360676    8.596644
             state9 |  -10.02288   3.372365    -2.97   0.003    -16.63615   -3.409604
            state10 |   1.573114   3.399124     0.46   0.644    -5.092635    8.238863
            state11 |   5.163041   3.429454     1.51   0.132    -1.562186    11.88827
            state12 |   1.597741   3.435765     0.47   0.642    -5.139862    8.335344
            state13 |   5.525824   3.464768     1.59   0.111    -1.268655     12.3203
            state14 |    .658395   3.429556     0.19   0.848    -6.067032    7.383822
            state15 |   18.84146   3.567813     5.28   0.000     11.84491    25.83802
            state16 |   8.283759   3.460175     2.39   0.017     1.498287    15.06923
            state17 |   20.88915   3.532158     5.91   0.000     13.96252    27.81578
            state18 |   19.93797   3.492846     5.71   0.000     13.08843    26.78751
            state19 |   14.97858   3.495677     4.28   0.000     8.123493    21.83368
            state20 |   20.63103   3.457871     5.97   0.000     13.85008    27.41198
            state21 |    10.3229   3.507059     2.94   0.003     3.445487    17.20031
            state22 |   16.88964   3.546875     4.76   0.000     9.934145    23.84513
            state23 |   17.43742   3.454425     5.05   0.000     10.66322    24.21161
            state24 |   11.03959   3.644863     3.03   0.002     3.891944    18.18724
            state25 |   18.94577   3.450918     5.49   0.000     12.17846    25.71309
            state26 |    8.14808   3.431695     2.37   0.018     1.418458     14.8777
            state27 |   1.027083   3.678484     0.28   0.780    -6.186498    8.240664
            state28 |   9.661442   3.492385     2.77   0.006     2.812806    16.51008
            state29 |   13.89115    3.45384     4.02   0.000     7.118097    20.66419
            state30 |   4.196672   3.482368     1.21   0.228    -2.632321    11.02566
            state31 |   12.96886   3.974467     3.26   0.001     5.174856    20.76287
            state32 |     11.631   3.545867     3.28   0.001     4.677486    18.58452
            state33 |   13.75644   3.589482     3.83   0.000     6.717391    20.79548
            state34 |    3.11797   3.832787     0.81   0.416    -4.398201    10.63414
            state35 |   6.990477   3.668644     1.91   0.057    -.2038072    14.18476
            state36 |   7.253169   3.588715     2.02   0.043     .2156283    14.29071
            state37 |   8.249239   3.539772     2.33   0.020     1.307675     15.1908
            state38 |   12.66641   3.613396     3.51   0.000     5.580467    19.75235
            state39 |   16.94663   3.581943     4.73   0.000     9.922367    23.97089
              _cons |  -52.31095   9.822395    -5.33   0.000    -71.57286   -33.04904
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =     68.16
       Model |  167.062409        56   2.9832573   Prob > F        =    0.0000
    Residual |  98.3439289     2,247  .043766769   R-squared       =    0.6295
-------------+----------------------------------   Adj R-squared   =    0.6202
       Total |  265.406338     2,303  .115243742   Root MSE        =    .20921

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |   .0025947   .0006241     4.16   0.000     .0013708    .0038186
           iAGRI_PF |   .0381771   .0059733     6.39   0.000     .0264634    .0498908
         ww1_vol_sh |    .098162   .0219821     4.47   0.000     .0550545    .1412694
ww1_awards_pop10_is |   .1183992   .0505618     2.34   0.019     .0192465     .217552
             lpop30 |   -.017612   .0083975    -2.10   0.036    -.0340797   -.0011443
           c30unemp |   .6459265   .1425678     4.53   0.000     .3663481    .9255049
          c30urban1 |   .0036574   .0128446     0.28   0.776    -.0215311    .0288459
            c30farm |  -.0492034   .0430972    -1.14   0.254    -.1337179     .035311
            iYf_T29 |  -.0275665   .0100691    -2.74   0.006    -.0473122   -.0078208
           MEAN9628 |   -.002405   .0006428    -3.74   0.000    -.0036656   -.0011444
             c30men |  -1.829183   .3622935    -5.05   0.000    -2.539648   -1.118718
           c30black |  -.4561864   .0397217   -11.48   0.000    -.5340815   -.3782914
             c30jap |   .6661129   1.296672     0.51   0.608    -1.876688    3.208914
             c30deu |  -.5289602   .1590329    -3.33   0.001    -.8408269   -.2170934
             c30ita |  -.3703367   .2692242    -1.38   0.169    -.8982909    .1576175
             c30vet |   1.288211   .1873497     6.88   0.000     .9208147    1.655608
           lc40wage |   .2131949    .027963     7.62   0.000     .1583589    .2680309
      iwarconpro_PC |  -.0379763   .0086589    -4.39   0.000    -.0549566   -.0209961
             state1 |   .0042541   .1198542     0.04   0.972    -.2307824    .2392905
             state2 |   .0126597   .1121768     0.11   0.910    -.2073212    .2326406
             state3 |   .0254011   .1135195     0.22   0.823    -.1972129    .2480151
             state4 |   .2380319   .1189441     2.00   0.045     .0047801    .4712836
             state5 |          0  (omitted)
             state6 |   .2867232   .1133856     2.53   0.012     .0643717    .5090748
             state7 |   -.155474   .1558454    -1.00   0.319      -.46109    .1501421
             state8 |  -.0882127   .1053104    -0.84   0.402    -.2947286    .1183031
             state9 |    .084243   .0999879     0.84   0.400    -.1118353    .2803213
            state10 |  -.1856449   .1005886    -1.85   0.065    -.3829013    .0116114
            state11 |   .0103823   .1015325     0.10   0.919    -.1887249    .2094896
            state12 |  -.0793618    .101673    -0.78   0.435    -.2787446     .120021
            state13 |  -.0408726   .1025843    -0.40   0.690    -.2420426    .1602973
            state14 |  -.0825851   .1014852    -0.81   0.416    -.2815996    .1164295
            state15 |   .1565751   .1062284     1.47   0.141     -.051741    .3648912
            state16 |  -.1579848   .1025209    -1.54   0.123    -.3590303    .0430607
            state17 |   .0481355   .1053304     0.46   0.648    -.1584196    .2546906
            state18 |  -.2694695   .1041036    -2.59   0.010    -.4736187   -.0653203
            state19 |   .1937119   .1038625     1.87   0.062    -.0099646    .3973885
            state20 |   .1247033   .1031292     1.21   0.227    -.0775352    .3269418
            state21 |  -.1999288   .1039776    -1.92   0.055    -.4038309    .0039734
            state22 |   .1124261    .105484     1.07   0.287    -.0944302    .3192823
            state23 |     -.0532    .102798    -0.52   0.605     -.254789    .1483889
            state24 |   .0510756   .1080754     0.47   0.637    -.1608624    .2630137
            state25 |   .4897307   .1027988     4.76   0.000     .2881401    .6913212
            state26 |   .0417122   .1016749     0.41   0.682    -.1576744    .2410988
            state27 |  -.2841405   .1088523    -2.61   0.009    -.4976021   -.0706788
            state28 |   .1233847   .1035193     1.19   0.233    -.0796187    .3263882
            state29 |  -.0577518     .10257    -0.56   0.573    -.2588937    .1433901
            state30 |   .1063019   .1030804     1.03   0.303    -.0958409    .3084447
            state31 |  -.5137114   .1178871    -4.36   0.000    -.7448904   -.2825324
            state32 |  -.0778397   .1051769    -0.74   0.459    -.2840938    .1284144
            state33 |   .1447219   .1065632     1.36   0.175    -.0642507    .3536944
            state34 |  -.1415169   .1134331    -1.25   0.212    -.3639616    .0809277
            state35 |   .0803605   .1086469     0.74   0.460    -.1326983    .2934193
            state36 |  -.2160739   .1062905    -2.03   0.042    -.4245118   -.0076361
            state37 |   -.004112   .1048723    -0.04   0.969    -.2097686    .2015446
            state38 |   -.170718   .1072162    -1.59   0.111    -.3809712    .0395352
            state39 |   .0186402     .10652     0.17   0.861    -.1902477    .2275282
              _cons |   .0363493   .2924834     0.12   0.901    -.5372166    .6099152
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00076519    .00055493   1.379      .16792651
Goodman-1 (Aroian)  .00076519    .00056904   1.345      .1787187
Goodman-2           .00076519    .00054045   1.416      .15682507

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .294905   .201764   1.46163    .143842
b coefficient   =  .002595   .000624   4.15742    .000032
Indirect effect =  .000765   .000555    1.3789    .167927
  Direct effect =  .038177   .005973   6.39133    1.6e-10
   Total effect =  .038942   .005992   6.49904    8.1e-11

Proportion of total effect that is mediated:  .01964932
Ratio of indirect to direct effect:           .02004315
Ratio of total to direct effect:              1.0200432

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =      9.44
       Model |  6.97901753        55  .126891228   Prob > F        =    0.0000
    Residual |  30.2076265     2,248  .013437556   R-squared       =    0.1877
-------------+----------------------------------   Adj R-squared   =    0.1678
       Total |   37.186644     2,303  .016147045   Root MSE        =    .11592

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0123024   .0033082     3.72   0.000     .0058149    .0187898
         ww1_vol_sh |   .0585555   .0121758     4.81   0.000     .0346784    .0824325
ww1_awards_pop10_is |   .0362806   .0280163     1.29   0.195    -.0186599    .0912211
             lpop30 |  -.0171898   .0046049    -3.73   0.000    -.0262201   -.0081596
           c30unemp |   .1472362   .0789631     1.86   0.062     -.007612    .3020844
          c30urban1 |   .0066487   .0071172     0.93   0.350    -.0073083    .0206056
            c30farm |   .0265151   .0237083     1.12   0.264    -.0199774    .0730076
            iYf_T29 |   .0113523   .0055745     2.04   0.042     .0004206    .0222839
           MEAN9628 |  -.0000772   .0002662    -0.29   0.772    -.0005992    .0004449
             c30men |  -.5040651   .1975813    -2.55   0.011     -.891526   -.1166042
           c30black |  -.0470686   .0216389    -2.18   0.030     -.089503   -.0046342
             c30jap |   .9008104   .7183759     1.25   0.210    -.5079389     2.30956
             c30deu |     .06082   .0842771     0.72   0.471    -.1044491     .226089
             c30ita |  -.0098322   .1480082    -0.07   0.947    -.3000791    .2804148
             c30vet |   .2225799   .1035116     2.15   0.032     .0195916    .4255683
           lc40wage |   .0556016   .0154926     3.59   0.000     .0252203    .0859829
      iwarconpro_PC |   .0058203    .004784     1.22   0.224    -.0035612    .0152018
             state1 |  -.0597886   .0664104    -0.90   0.368    -.1900207    .0704436
             state2 |  -.0870387   .0621549    -1.40   0.162    -.2089258    .0348483
             state3 |    -.05996     .06289    -0.95   0.340    -.1832886    .0633686
             state4 |  -.0873669   .0658864    -1.33   0.185    -.2165714    .0418376
             state5 |          0  (omitted)
             state6 |  -.0850896   .0627389    -1.36   0.175    -.2081218    .0379426
             state7 |  -.1063676   .0863534    -1.23   0.218    -.2757083    .0629731
             state8 |  -.0947503   .0583498    -1.62   0.105    -.2091754    .0196747
             state9 |  -.0646888   .0552947    -1.17   0.242    -.1731229    .0437452
            state10 |  -.0906102   .0557335    -1.63   0.104    -.1999046    .0186843
            state11 |  -.1026952   .0562308    -1.83   0.068    -.2129649    .0075745
            state12 |  -.1262346   .0563343    -2.24   0.025    -.2367072    -.015762
            state13 |  -.0983369   .0568098    -1.73   0.084     -.209742    .0130683
            state14 |  -.0833781   .0562325    -1.48   0.138    -.1936511    .0268949
            state15 |  -.1347492   .0584994    -2.30   0.021    -.2494676   -.0200307
            state16 |  -.0829496   .0567345    -1.46   0.144    -.1942071    .0283079
            state17 |  -.0893436   .0579148    -1.54   0.123    -.2029156    .0242284
            state18 |  -.1006306   .0572702    -1.76   0.079    -.2129385    .0116774
            state19 |  -.0505607   .0573166    -0.88   0.378    -.1629597    .0618383
            state20 |  -.0993234   .0566967    -1.75   0.080    -.2105068      .01186
            state21 |  -.0908575   .0575032    -1.58   0.114    -.2036225    .0219074
            state22 |  -.0607057   .0581561    -1.04   0.297    -.1747509    .0533395
            state23 |  -.0998362   .0566402    -1.76   0.078    -.2109088    .0112364
            state24 |  -.0836257   .0597627    -1.40   0.162    -.2008216    .0335702
            state25 |  -.0563053   .0565827    -1.00   0.320    -.1672652    .0546545
            state26 |  -.0893385   .0562675    -1.59   0.112    -.1996803    .0210032
            state27 |  -.0884321    .060314    -1.47   0.143     -.206709    .0298449
            state28 |  -.0721026   .0572626    -1.26   0.208    -.1843958    .0401905
            state29 |  -.0910097   .0566306    -1.61   0.108    -.2020635    .0200441
            state30 |  -.0757008   .0570984    -1.33   0.185    -.1876718    .0362703
            state31 |  -.0325591   .0651671    -0.50   0.617     -.160353    .0952348
            state32 |  -.0512625   .0581395    -0.88   0.378    -.1652753    .0627502
            state33 |   .0581434   .0588547     0.99   0.323    -.0572718    .1735586
            state34 |  -.0511371    .062844    -0.81   0.416    -.1743754    .0721013
            state35 |  -.0665974   .0601527    -1.11   0.268     -.184558    .0513631
            state36 |  -.0483537   .0588421    -0.82   0.411    -.1637442    .0670368
            state37 |    .006668   .0580396     0.11   0.909    -.1071488    .1204849
            state38 |  -.0730286   .0592468    -1.23   0.218    -.1892127    .0431556
            state39 |  -.0313672   .0587311    -0.53   0.593    -.1465399    .0838056
              _cons |   .1111442   .1610522     0.69   0.490    -.2046823    .4269707
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    307.06
       Model |  844123.315        55  15347.6966   Prob > F        =    0.0000
    Residual |  112361.682     2,248  49.9829546   R-squared       =    0.8825
-------------+----------------------------------   Adj R-squared   =    0.8797
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0699

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2949049    .201764     1.46   0.144    -.1007583    .6905681
         ww1_vol_sh |  -.9528401   .7425912    -1.28   0.200    -2.409076    .5033959
ww1_awards_pop10_is |  -.0170007   1.708682    -0.01   0.992    -3.367761    3.333759
             lpop30 |   1.931627   .2808452     6.88   0.000     1.380884     2.48237
           c30unemp |   6.670144   4.815873     1.39   0.166    -2.773878    16.11417
          c30urban1 |  -.0466064   .4340687    -0.11   0.915    -.8978238    .8046109
            c30farm |  -8.268247   1.445946    -5.72   0.000    -11.10378   -5.432718
            iYf_T29 |  -.6701823   .3399811    -1.97   0.049    -1.336892   -.0034726
           MEAN9628 |   .6843059   .0162362    42.15   0.000     .6524664    .7161454
             c30men |   102.6795   12.05027     8.52   0.000     79.04868    126.3103
           c30black |     11.634   1.319735     8.82   0.000     9.045976    14.22203
             c30jap |   36.34934   43.81295     0.83   0.407    -49.56874    122.2674
             c30deu |  -74.42995   5.139968   -14.48   0.000    -84.50953   -64.35038
             c30ita |   53.89533   9.026856     5.97   0.000     36.19348    71.59717
             c30vet |  -22.75821   6.313061    -3.60   0.000    -35.13825   -10.37818
           lc40wage |     .65771   .9448773     0.70   0.486    -1.195213    2.510633
      iwarconpro_PC |   1.054775   .2917708     3.62   0.000     .4826066    1.626943
             state1 |   .8925682   4.050299     0.22   0.826    -7.050149    8.835285
             state2 |   1.505644   3.790761     0.40   0.691    -5.928113    8.939402
             state3 |   3.413136   3.835594     0.89   0.374     -4.10854    10.93481
             state4 |   4.750181   4.018339     1.18   0.237    -3.129861    12.63022
             state5 |          0  (omitted)
             state6 |    9.61575   3.826375     2.51   0.012     2.112152    17.11935
             state7 |   .8664899   5.266599     0.16   0.869    -9.461414    11.19439
             state8 |   1.617984   3.558689     0.45   0.649    -5.360676    8.596644
             state9 |  -10.02288   3.372365    -2.97   0.003    -16.63615   -3.409604
            state10 |   1.573114   3.399124     0.46   0.644    -5.092635    8.238863
            state11 |   5.163041   3.429454     1.51   0.132    -1.562186    11.88827
            state12 |   1.597741   3.435765     0.47   0.642    -5.139862    8.335344
            state13 |   5.525824   3.464768     1.59   0.111    -1.268655     12.3203
            state14 |    .658395   3.429556     0.19   0.848    -6.067032    7.383822
            state15 |   18.84146   3.567813     5.28   0.000     11.84491    25.83802
            state16 |   8.283759   3.460175     2.39   0.017     1.498287    15.06923
            state17 |   20.88915   3.532158     5.91   0.000     13.96252    27.81578
            state18 |   19.93797   3.492846     5.71   0.000     13.08843    26.78751
            state19 |   14.97858   3.495677     4.28   0.000     8.123493    21.83368
            state20 |   20.63103   3.457871     5.97   0.000     13.85008    27.41198
            state21 |    10.3229   3.507059     2.94   0.003     3.445487    17.20031
            state22 |   16.88964   3.546875     4.76   0.000     9.934145    23.84513
            state23 |   17.43742   3.454425     5.05   0.000     10.66322    24.21161
            state24 |   11.03959   3.644863     3.03   0.002     3.891944    18.18724
            state25 |   18.94577   3.450918     5.49   0.000     12.17846    25.71309
            state26 |    8.14808   3.431695     2.37   0.018     1.418458     14.8777
            state27 |   1.027083   3.678484     0.28   0.780    -6.186498    8.240664
            state28 |   9.661442   3.492385     2.77   0.006     2.812806    16.51008
            state29 |   13.89115    3.45384     4.02   0.000     7.118097    20.66419
            state30 |   4.196672   3.482368     1.21   0.228    -2.632321    11.02566
            state31 |   12.96886   3.974467     3.26   0.001     5.174856    20.76287
            state32 |     11.631   3.545867     3.28   0.001     4.677486    18.58452
            state33 |   13.75644   3.589482     3.83   0.000     6.717391    20.79548
            state34 |    3.11797   3.832787     0.81   0.416    -4.398201    10.63414
            state35 |   6.990477   3.668644     1.91   0.057    -.2038072    14.18476
            state36 |   7.253169   3.588715     2.02   0.043     .2156283    14.29071
            state37 |   8.249239   3.539772     2.33   0.020     1.307675     15.1908
            state38 |   12.66641   3.613396     3.51   0.000     5.580467    19.75235
            state39 |   16.94663   3.581943     4.73   0.000     9.922367    23.97089
              _cons |  -52.31095   9.822395    -5.33   0.000    -71.57286   -33.04904
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =      9.43
       Model |  7.07694683        56  .126374051   Prob > F        =    0.0000
    Residual |  30.1096972     2,247  .013399954   R-squared       =    0.1903
-------------+----------------------------------   Adj R-squared   =    0.1701
       Total |   37.186644     2,303  .016147045   Root MSE        =    .11576

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |  -.0009336   .0003453    -2.70   0.007    -.0016108   -.0002564
           iAGRI_PF |   .0125777   .0033051     3.81   0.000     .0060962    .0190591
         ww1_vol_sh |   .0576659   .0121632     4.74   0.000     .0338135    .0815183
ww1_awards_pop10_is |   .0362648   .0279771     1.30   0.195    -.0185988    .0911283
             lpop30 |  -.0153865   .0046465    -3.31   0.001    -.0244985   -.0062746
           c30unemp |   .1534632   .0788862     1.95   0.052    -.0012342    .3081606
          c30urban1 |   .0066052   .0071072     0.93   0.353    -.0073323    .0205426
            c30farm |   .0187961   .0238467     0.79   0.431    -.0279678      .06556
            iYf_T29 |   .0107266   .0055715     1.93   0.054    -.0001992    .0216524
           MEAN9628 |   .0005617   .0003557     1.58   0.114    -.0001359    .0012592
             c30men |  -.4082065   .2004656    -2.04   0.042    -.8013237   -.0150893
           c30black |  -.0362075    .021979    -1.65   0.100    -.0793087    .0068937
             c30jap |   .9347451   .7174799     1.30   0.193    -.4722475    2.341738
             c30deu |  -.0086656   .0879967    -0.10   0.922    -.1812289    .1638977
             c30ita |   .0404829   .1489682     0.27   0.786    -.2516467    .3326126
             c30vet |   .2013335   .1036651     1.94   0.052    -.0019558    .4046228
           lc40wage |   .0562156   .0154726     3.63   0.000     .0258736    .0865577
      iwarconpro_PC |    .006805   .0047912     1.42   0.156    -.0025906    .0162006
             state1 |  -.0589553   .0663182    -0.89   0.374    -.1890065     .071096
             state2 |  -.0856331   .0620701    -1.38   0.168    -.2073538    .0360876
             state3 |  -.0567736    .062813    -0.90   0.366    -.1799512    .0664041
             state4 |  -.0829323   .0658146    -1.26   0.208     -.211996    .0461315
             state5 |          0  (omitted)
             state6 |  -.0761126    .062739    -1.21   0.225     -.199145    .0469198
             state7 |  -.1055587    .086233    -1.22   0.221    -.2746634     .063546
             state8 |  -.0932398   .0582708    -1.60   0.110      -.20751    .0210303
             state9 |  -.0740459   .0553257    -1.34   0.181    -.1825407    .0344489
            state10 |  -.0891416   .0556581    -1.60   0.109    -.1982882    .0200051
            state11 |  -.0978751   .0561804    -1.74   0.082     -.208046    .0122957
            state12 |   -.124743   .0562581    -2.22   0.027    -.2350662   -.0144197
            state13 |  -.0931781   .0567624    -1.64   0.101    -.2044903     .018134
            state14 |  -.0827635   .0561542    -1.47   0.141     -.192883     .027356
            state15 |  -.1171593   .0587787    -1.99   0.046    -.2324256   -.0018931
            state16 |  -.0752162   .0567272    -1.33   0.185    -.1864594    .0360271
            state17 |  -.0698421   .0582818    -1.20   0.231     -.184134    .0444497
            state18 |  -.0820171    .057603    -1.42   0.155    -.1949777    .0309436
            state19 |  -.0365771   .0574696    -0.64   0.525    -.1492762     .076122
            state20 |  -.0800628   .0570639    -1.40   0.161    -.1919662    .0318405
            state21 |  -.0812204   .0575333    -1.41   0.158    -.1940443    .0316035
            state22 |   -.044938   .0583668    -0.77   0.441    -.1593965    .0695205
            state23 |  -.0835571   .0568806    -1.47   0.142    -.1951011    .0279868
            state24 |  -.0733195   .0598007    -1.23   0.220    -.1905899    .0439509
            state25 |  -.0386181    .056881    -0.68   0.497     -.150163    .0729268
            state26 |  -.0817317   .0562592    -1.45   0.146    -.1920571    .0285937
            state27 |  -.0874732   .0602306    -1.45   0.147    -.2055866    .0306402
            state28 |   -.063083   .0572797    -1.10   0.271    -.1754096    .0492437
            state29 |  -.0780413   .0567544    -1.38   0.169    -.1893379    .0332553
            state30 |  -.0717829   .0570369    -1.26   0.208    -.1836333    .0400676
            state31 |  -.0204517   .0652297    -0.31   0.754    -.1483686    .1074651
            state32 |  -.0404042   .0581969    -0.69   0.488    -.1545295    .0737211
            state33 |    .070986    .058964     1.20   0.229    -.0446435    .1866155
            state34 |  -.0482262   .0627653    -0.77   0.442    -.1713102    .0748577
            state35 |  -.0600713   .0601169    -1.00   0.318    -.1779618    .0578192
            state36 |  -.0415824   .0588131    -0.71   0.480     -.156916    .0737513
            state37 |   .0143693   .0580283     0.25   0.804    -.0994255     .128164
            state38 |  -.0612036   .0593253    -1.03   0.302    -.1775417    .0551346
            state39 |  -.0155463   .0589401    -0.26   0.792     -.131129    .1000364
              _cons |   .0623082   .1618381     0.39   0.700    -.2550595     .379676
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               -.00027531    .00021413  -1.286      .19853472
Goodman-1 (Aroian)  -.00027531    .00022518  -1.223      .22146628
Goodman-2           -.00027531    .00020248   -1.36      .17391343

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .294905   .201764   1.46163    .143842
b coefficient   = -.000934   .000345  -2.70336    .006864
Indirect effect = -.000275   .000214  -1.28574    .198535
  Direct effect =  .012578   .003305   3.80548    .000142
   Total effect =  .012302   .003308   3.71874      .0002

Proportion of total effect that is mediated:  -.022379
Ratio of indirect to direct effect:           -.02188914
Ratio of total to direct effect:              .97811086

Model with dv regressed on iv (path c)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =     77.39
       Model |  2376.09313        55  43.2016932   Prob > F        =    0.0000
    Residual |   1254.9164     2,248  .558236832   R-squared       =    0.6544
-------------+----------------------------------   Adj R-squared   =    0.6459
       Total |  3631.00953     2,303   1.5766433   Root MSE        =    .74715

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2301308   .0213227    10.79   0.000     .1883166     .271945
         ww1_vol_sh |   .4385464    .078478     5.59   0.000     .2846495    .5924434
ww1_awards_pop10_is |   .5679796   .1805758     3.15   0.002     .2138668    .9220924
             lpop30 |  -.1481309   .0296801    -4.99   0.000    -.2063342   -.0899276
           c30unemp |    1.62091   .5089479     3.18   0.001      .622853    2.618967
          c30urban1 |   .1150188    .045873     2.51   0.012     .0250611    .2049766
            c30farm |  -.4142154   .1528095    -2.71   0.007    -.7138778   -.1145529
            iYf_T29 |   .0538819   .0359297     1.50   0.134    -.0165769    .1243406
           MEAN9628 |   .0018559   .0017159     1.08   0.280    -.0015089    .0052207
             c30men |   -6.66943   1.273488    -5.24   0.000    -9.166766   -4.172094
           c30black |  -1.141348   .1394714    -8.18   0.000    -1.414855   -.8678423
             c30jap |    11.1973   4.630211     2.42   0.016     2.117365    20.27724
             c30deu |  -.1102077   .5431986    -0.20   0.839    -1.175431    .9550156
             c30ita |  -.4782331   .9539702    -0.50   0.616    -2.348988    1.392521
             c30vet |   3.782041   .6671727     5.67   0.000     2.473702    5.090379
           lc40wage |   1.056414   .0998559    10.58   0.000     .8605943    1.252233
      iwarconpro_PC |    .233618   .0308347     7.58   0.000     .1731505    .2940855
             state1 |   .0579429    .428041     0.14   0.892    -.7814541    .8973398
             state2 |  -.0599225   .4006127    -0.15   0.881    -.8455319    .7256868
             state3 |  -.0171325   .4053507    -0.04   0.966    -.8120332    .7777682
             state4 |   .3630502   .4246634     0.85   0.393    -.4697232    1.195824
             state5 |          0  (omitted)
             state6 |   .5425661   .4043765     1.34   0.180    -.2504241    1.335556
             state7 |  -.1068504   .5565812    -0.19   0.848    -1.198317    .9846163
             state8 |  -.3008958    .376087    -0.80   0.424     -1.03841    .4366183
             state9 |     .18889    .356396     0.53   0.596    -.5100096    .8877897
            state10 |  -.2703991   .3592239    -0.75   0.452    -.9748443    .4340461
            state11 |    .034544   .3624292     0.10   0.924    -.6761869    .7452749
            state12 |  -.3063517   .3630962    -0.84   0.399    -1.018391    .4056871
            state13 |  -.1060719   .3661613    -0.29   0.772    -.8241214    .6119777
            state14 |  -.1774216   .3624401    -0.49   0.625    -.8881737    .5333306
            state15 |   .1413322   .3770513     0.37   0.708    -.5980728    .8807372
            state16 |  -.1961803   .3656759    -0.54   0.592    -.9132781    .5209174
            state17 |   .1276787   .3732831     0.34   0.732    -.6043369    .8596944
            state18 |  -.7703526   .3691286    -2.09   0.037    -1.494221   -.0464841
            state19 |   .4657913   .3694278     1.26   0.207     -.258664    1.190247
            state20 |    .048873   .3654324     0.13   0.894    -.6677472    .7654931
            state21 |  -.5964556   .3706307    -1.61   0.108     -1.32327    .1303585
            state22 |   .2649268   .3748385     0.71   0.480    -.4701389    .9999926
            state23 |  -.1838035   .3650683    -0.50   0.615    -.8997096    .5321027
            state24 |  -.2776969    .385194    -0.72   0.471     -1.03307    .4776761
            state25 |   1.082976   .3646976     2.97   0.003     .3677963    1.798155
            state26 |  -.1500668   .3626661    -0.41   0.679    -.8612623    .5611287
            state27 |  -.5874061   .3887471    -1.51   0.131    -1.349747    .1749347
            state28 |   .3839132   .3690799     1.04   0.298    -.3398598    1.107686
            state29 |  -.1992293   .3650064    -0.55   0.585    -.9150141    .5165555
            state30 |   .1339796   .3680213     0.36   0.716    -.5877175    .8556766
            state31 |  -.5836067    .420027    -1.39   0.165    -1.407288    .2400745
            state32 |   .1780591   .3747319     0.48   0.635    -.5567976    .9129159
            state33 |   1.424847   .3793412     3.76   0.000     .6809513    2.168743
            state34 |  -.0006171   .4050541    -0.00   0.999    -.7949362    .7937019
            state35 |   .0553167   .3877072     0.14   0.887    -.7049849    .8156182
            state36 |  -.2758198   .3792602    -0.73   0.467    -1.019556    .4679169
            state37 |   .4970657   .3740879     1.33   0.184    -.2365281    1.230659
            state38 |   .2687352   .3818685     0.70   0.482    -.4801165    1.017587
            state39 |   .6944263   .3785445     1.83   0.067    -.0479069    1.436759
              _cons |  -4.233242   1.038044    -4.08   0.000    -6.268867   -2.197618
-------------------------------------------------------------------------------------

Model with mediator regressed on iv (path a)

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(55, 2248)     =    307.06
       Model |  844123.315        55  15347.6966   Prob > F        =    0.0000
    Residual |  112361.682     2,248  49.9829546   R-squared       =    0.8825
-------------+----------------------------------   Adj R-squared   =    0.8797
       Total |  956484.997     2,303  415.321319   Root MSE        =    7.0699

-------------------------------------------------------------------------------------
              FDR40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2949049    .201764     1.46   0.144    -.1007583    .6905681
         ww1_vol_sh |  -.9528401   .7425912    -1.28   0.200    -2.409076    .5033959
ww1_awards_pop10_is |  -.0170007   1.708682    -0.01   0.992    -3.367761    3.333759
             lpop30 |   1.931627   .2808452     6.88   0.000     1.380884     2.48237
           c30unemp |   6.670144   4.815873     1.39   0.166    -2.773878    16.11417
          c30urban1 |  -.0466064   .4340687    -0.11   0.915    -.8978238    .8046109
            c30farm |  -8.268247   1.445946    -5.72   0.000    -11.10378   -5.432718
            iYf_T29 |  -.6701823   .3399811    -1.97   0.049    -1.336892   -.0034726
           MEAN9628 |   .6843059   .0162362    42.15   0.000     .6524664    .7161454
             c30men |   102.6795   12.05027     8.52   0.000     79.04868    126.3103
           c30black |     11.634   1.319735     8.82   0.000     9.045976    14.22203
             c30jap |   36.34934   43.81295     0.83   0.407    -49.56874    122.2674
             c30deu |  -74.42995   5.139968   -14.48   0.000    -84.50953   -64.35038
             c30ita |   53.89533   9.026856     5.97   0.000     36.19348    71.59717
             c30vet |  -22.75821   6.313061    -3.60   0.000    -35.13825   -10.37818
           lc40wage |     .65771   .9448773     0.70   0.486    -1.195213    2.510633
      iwarconpro_PC |   1.054775   .2917708     3.62   0.000     .4826066    1.626943
             state1 |   .8925682   4.050299     0.22   0.826    -7.050149    8.835285
             state2 |   1.505644   3.790761     0.40   0.691    -5.928113    8.939402
             state3 |   3.413136   3.835594     0.89   0.374     -4.10854    10.93481
             state4 |   4.750181   4.018339     1.18   0.237    -3.129861    12.63022
             state5 |          0  (omitted)
             state6 |    9.61575   3.826375     2.51   0.012     2.112152    17.11935
             state7 |   .8664899   5.266599     0.16   0.869    -9.461414    11.19439
             state8 |   1.617984   3.558689     0.45   0.649    -5.360676    8.596644
             state9 |  -10.02288   3.372365    -2.97   0.003    -16.63615   -3.409604
            state10 |   1.573114   3.399124     0.46   0.644    -5.092635    8.238863
            state11 |   5.163041   3.429454     1.51   0.132    -1.562186    11.88827
            state12 |   1.597741   3.435765     0.47   0.642    -5.139862    8.335344
            state13 |   5.525824   3.464768     1.59   0.111    -1.268655     12.3203
            state14 |    .658395   3.429556     0.19   0.848    -6.067032    7.383822
            state15 |   18.84146   3.567813     5.28   0.000     11.84491    25.83802
            state16 |   8.283759   3.460175     2.39   0.017     1.498287    15.06923
            state17 |   20.88915   3.532158     5.91   0.000     13.96252    27.81578
            state18 |   19.93797   3.492846     5.71   0.000     13.08843    26.78751
            state19 |   14.97858   3.495677     4.28   0.000     8.123493    21.83368
            state20 |   20.63103   3.457871     5.97   0.000     13.85008    27.41198
            state21 |    10.3229   3.507059     2.94   0.003     3.445487    17.20031
            state22 |   16.88964   3.546875     4.76   0.000     9.934145    23.84513
            state23 |   17.43742   3.454425     5.05   0.000     10.66322    24.21161
            state24 |   11.03959   3.644863     3.03   0.002     3.891944    18.18724
            state25 |   18.94577   3.450918     5.49   0.000     12.17846    25.71309
            state26 |    8.14808   3.431695     2.37   0.018     1.418458     14.8777
            state27 |   1.027083   3.678484     0.28   0.780    -6.186498    8.240664
            state28 |   9.661442   3.492385     2.77   0.006     2.812806    16.51008
            state29 |   13.89115    3.45384     4.02   0.000     7.118097    20.66419
            state30 |   4.196672   3.482368     1.21   0.228    -2.632321    11.02566
            state31 |   12.96886   3.974467     3.26   0.001     5.174856    20.76287
            state32 |     11.631   3.545867     3.28   0.001     4.677486    18.58452
            state33 |   13.75644   3.589482     3.83   0.000     6.717391    20.79548
            state34 |    3.11797   3.832787     0.81   0.416    -4.398201    10.63414
            state35 |   6.990477   3.668644     1.91   0.057    -.2038072    14.18476
            state36 |   7.253169   3.588715     2.02   0.043     .2156283    14.29071
            state37 |   8.249239   3.539772     2.33   0.020     1.307675     15.1908
            state38 |   12.66641   3.613396     3.51   0.000     5.580467    19.75235
            state39 |   16.94663   3.581943     4.73   0.000     9.922367    23.97089
              _cons |  -52.31095   9.822395    -5.33   0.000    -71.57286   -33.04904
-------------------------------------------------------------------------------------

Model with dv regressed on mediator and iv (paths b and c')

      Source |       SS           df       MS      Number of obs   =     2,304
-------------+----------------------------------   F(56, 2247)     =     75.98
       Model |  2376.16367        56   42.431494   Prob > F        =    0.0000
    Residual |  1254.84586     2,247  .558453876   R-squared       =    0.6544
-------------+----------------------------------   Adj R-squared   =    0.6458
       Total |  3631.00953     2,303   1.5766433   Root MSE        =     .7473

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
              FDR40 |   .0007923   .0022294     0.36   0.722    -.0035795    .0051642
           iAGRI_PF |   .2298971    .021337    10.77   0.000     .1880549    .2717394
         ww1_vol_sh |   .4393014    .078522     5.59   0.000     .2853181    .5932847
ww1_awards_pop10_is |   .5679931   .1806109     3.14   0.002     .2138114    .9221748
             lpop30 |  -.1496614   .0299966    -4.99   0.000    -.2084853   -.0908374
           c30unemp |   1.615625   .5092639     3.17   0.002      .616948    2.614302
          c30urban1 |   .1150558    .045882     2.51   0.012     .0250803    .2050313
            c30farm |  -.4076642   .1539467    -2.65   0.008    -.7095569   -.1057715
            iYf_T29 |   .0544129   .0359677     1.51   0.130    -.0161205    .1249462
           MEAN9628 |   .0013137   .0022962     0.57   0.567    -.0031893    .0058167
             c30men |  -6.750785   1.294142    -5.22   0.000    -9.288624   -4.212946
           c30black |  -1.150566   .1418891    -8.11   0.000    -1.428814   -.8723188
             c30jap |    11.1685    4.63182     2.41   0.016     2.085407    20.25159
             c30deu |  -.0512351   .5680785    -0.09   0.928    -1.165249    1.062778
             c30ita |  -.5209356   .9616911    -0.54   0.588    -2.406831     1.36496
             c30vet |   3.800072   .6692284     5.68   0.000     2.487702    5.112443
           lc40wage |   1.055893   .0998861    10.57   0.000      .860014    1.251771
      iwarconpro_PC |   .2327823   .0309302     7.53   0.000     .1721274    .2934371
             state1 |   .0572357   .4281289     0.13   0.894    -.7823337    .8968051
             state2 |  -.0611155   .4007046    -0.15   0.879    -.8469053    .7246743
             state3 |  -.0198368   .4055009    -0.05   0.961    -.8150322    .7753586
             state4 |   .3592865    .424878     0.85   0.398    -.4739078    1.192481
             state5 |          0  (omitted)
             state6 |   .5349473   .4050228     1.32   0.187    -.2593105    1.329205
             state7 |  -.1075369   .5566927    -0.19   0.847    -1.199223    .9841487
             state8 |  -.3021778   .3761774    -0.80   0.422    -1.039869    .4355137
             state9 |   .1968314   .3571649     0.55   0.582    -.5035763    .8972391
            state10 |  -.2716455   .3593109    -0.76   0.450    -.9762614    .4329703
            state11 |   .0304532   .3626824     0.08   0.933    -.6807743    .7416807
            state12 |  -.3076177   .3631842    -0.85   0.397    -1.019829     .404594
            state13 |  -.1104501   .3664396    -0.30   0.763    -.8290456    .6081454
            state14 |  -.1779432   .3625135    -0.49   0.624    -.8888395    .5329531
            state15 |   .1264037   .3794566     0.33   0.739    -.6177185    .8705258
            state16 |  -.2027438    .366213    -0.55   0.580    -.9208948    .5154073
            state17 |   .1111278   .3762489     0.30   0.768     -.626704    .8489595
            state18 |  -.7861499   .3718664    -2.11   0.035    -1.515388   -.0569123
            state19 |   .4539234   .3710055     1.22   0.221    -.2736258    1.181473
            state20 |   .0325265    .368386     0.09   0.930    -.6898859    .7549389
            state21 |  -.6046347   .3714164    -1.63   0.104     -1.33299    .1237204
            state22 |   .2515448   .3767975     0.67   0.504    -.4873627    .9904522
            state23 |  -.1976195   .3672028    -0.54   0.591    -.9177117    .5224726
            state24 |  -.2864438   .3860542    -0.74   0.458    -1.043504    .4706162
            state25 |   1.067964   .3672058     2.91   0.004     .3478664    1.788062
            state26 |  -.1565227   .3631912    -0.43   0.667     -.868748    .5557026
            state27 |  -.5882199   .3888294    -1.51   0.130    -1.350722    .1742825
            state28 |   .3762582   .3697795     1.02   0.309    -.3488869    1.101403
            state29 |  -.2102356   .3663885    -0.57   0.566    -.9287309    .5082598
            state30 |   .1306545   .3682117     0.35   0.723    -.5914162    .8527251
            state31 |  -.5938822   .4211024    -1.41   0.159    -1.419673     .231908
            state32 |   .1688436   .3757006     0.45   0.653     -.567913    .9056002
            state33 |   1.413947   .3806524     3.71   0.000     .6674803    2.160415
            state34 |  -.0030876   .4051924    -0.01   0.994    -.7976781     .791503
            state35 |    .049778   .3880956     0.13   0.898    -.7112855    .8108414
            state36 |  -.2815667   .3796784    -0.74   0.458    -1.026124    .4629903
            state37 |   .4905296   .3746123     1.31   0.191    -.2440927    1.225152
            state38 |   .2586993   .3829852     0.68   0.499    -.4923424    1.009741
            state39 |   .6809991   .3804983     1.79   0.074    -.0651659    1.427164
              _cons |  -4.191795   1.044775    -4.01   0.000     -6.24062   -2.142971
-------------------------------------------------------------------------------------

Sobel-Goodman Mediation Tests

                     Coef         Std Err     Z           P>|Z|
Sobel               .00023366    .00067661   .3453      .72984004
Goodman-1 (Aroian)  .00023366    .00081249   .2876      .77366297
Goodman-2           .00023366    .00050545   .4623      .64387704

                    Coef      Std Err    Z          P>|Z|
a coefficient   =  .294905   .201764   1.46163    .143842
b coefficient   =  .000792   .002229   .355401     .72229
Indirect effect =  .000234   .000677   .345338     .72984
  Direct effect =  .229897   .021337   10.7746          0
   Total effect =  .230131   .021323   10.7928          0

Proportion of total effect that is mediated:  .00101534
Ratio of indirect to direct effect:           .00101637
Ratio of total to direct effect:              1.0010164

. 
. preserve

.         clear

.         set obs 3
number of observations (_N) was 0, now 3

.         gen     mediator  = "1940 employment"     if _n == 1
(2 missing values generated)

.         replace mediator  = "1939 wage"           if _n == 2
(1 real change made)

.         replace mediator  = "1940 FDR vote share" if _n == 3
variable mediator was str15 now str19
(1 real change made)

.         gen bond      = ""
(3 missing values generated)

.         gen volunteer = ""
(3 missing values generated)

.         gen medal     = ""
(3 missing values generated)

.         gen pca       = ""
(3 missing values generated)

.         lab var mediator "Mediation variable" 

.         lab var bond "War bonds" 

.         lab var volunteer "Volunteers"

.         lab var medal "Medals"

.         lab var pca "PCA"

.         local i 0

.         foreach mediator in c40emp c40wage FDR40 {
  2.                 local i = `i' + 1
  3.                 foreach outcome in bond volunteer medal pca {
  4.                         replace `outcome' = "``outcome'_`mediator''" if _n == `i'
  5.                 } /* foreach mediator */
  6.         } /* foreach mediator */
variable bond was str1 now str4
(1 real change made)
variable volunteer was str1 now str5
(1 real change made)
variable medal was str1 now str4
(1 real change made)
variable pca was str1 now str4
(1 real change made)
(1 real change made)
(1 real change made)
variable medal was str4 now str5
(1 real change made)
variable pca was str4 now str5
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         texsave using "results/tables/AppTab6B_mediation_agri_support", replace frag varlab

. restore

. 
. ***************************************************************************************************     
. ****         Tab 8.  Panel Regressions                                                                 ****
. ***************************************************************************************************     
. preserve

.         use "data/patriotism-panel", replace

.         lab var iNDEXP_PC_post      "New Deal grants $\times$ Post New Deal"

.         lab var iNDEXP_PCx                      "New Deal grants"

.         lab var iAGRI_PF_post       "Agricultural support $\times$ Post New Deal"

.         lab var iAGRI_PFx                       "Agricultural support"

.         lab var iSUM3MO_DROUGHT_ww2 "Months of drought: pre WW II"

.         lab var iAGRI_ww2                       "Tenure Agri committee: pre WW II"

.         lab var iSUM3MO_DROUGHT_ww1 "Months of drought: pre WW I"

.         lab var iAGRI_ww1                       "Tenure Agri committee: pre WW I"

.         
.         estimates clear

.         eststo: xi: reg vol_pop       iNDEXP_PC_post iNDEXP_PCx                                                         $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,688
                                                F(54, 2356)       =      59.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2883
                                                Root MSE          =     .34998

                                (Std. Err. adjusted for 2,357 clusters in panel)
--------------------------------------------------------------------------------
               |               Robust
       vol_pop |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
iNDEXP_PC_post |   .0505008   .0257961     1.96   0.050    -.0000846    .1010862
    iNDEXP_PCx |   .0103176   .0250025     0.41   0.680    -.0387115    .0593467
          lpop |   .0297817   .0125272     2.38   0.018     .0052161    .0543472
         unemp |   .6216217   .1759932     3.53   0.000     .2765041    .9667394
        urban1 |   .0597255   .0152399     3.92   0.000     .0298404    .0896105
           men |   1.163735   .4770688     2.44   0.015     .2282168    2.099253
         black |  -.3452065   .0289792   -11.91   0.000    -.4020338   -.2883792
           jap |   .1188861   1.597911     0.07   0.941    -3.014572    3.252344
           deu |   .2131885   .1638953     1.30   0.193    -.1082055    .5345825
           ita |  -.6274571     .25164    -2.49   0.013    -1.120916   -.1339982
           aut |   .6201649   .3953478     1.57   0.117    -.1551008    1.395431
     MEAN96282 |    .001618   .0005199     3.11   0.002     .0005986    .0026375
          vet2 |   .9280581   .3886138     2.39   0.017     .1659976    1.690119
     lc40wage2 |   .1470894   .0333918     4.40   0.000      .081609    .2125698
iwarconpro_PC2 |   -.056344   .0107038    -5.26   0.000    -.0773338   -.0353542
 _Istateicps_2 |   .0393286    .072878     0.54   0.589     -.103583    .1822402
 _Istateicps_3 |   .0440762   .0662289     0.67   0.506    -.0857967    .1739491
 _Istateicps_4 |   .2087738   .0722957     2.89   0.004     .0670041    .3505435
 _Istateicps_5 |   .2309759   .2418362     0.96   0.340     -.243258    .7052098
 _Istateicps_6 |   .1861338   .0639843     2.91   0.004     .0606624    .3116052
_Istateicps_11 |  -.0957186   .1000878    -0.96   0.339    -.2919879    .1005506
_Istateicps_12 |  -.1250783   .0557384    -2.24   0.025    -.2343797    -.015777
_Istateicps_13 |  -.0943714   .0533999    -1.77   0.077    -.1990871    .0103443
_Istateicps_14 |  -.2067807   .0536266    -3.86   0.000     -.311941   -.1016204
_Istateicps_21 |  -.1604803   .0582713    -2.75   0.006    -.2747487    -.046212
_Istateicps_22 |  -.1484944   .0569347    -2.61   0.009    -.2601418    -.036847
_Istateicps_23 |  -.2029065   .0605451    -3.35   0.001    -.3216337   -.0841793
_Istateicps_24 |  -.1115613   .0567005    -1.97   0.049    -.2227494   -.0003733
_Istateicps_25 |   .0262844   .0718522     0.37   0.715    -.1146157    .1671846
_Istateicps_40 |  -.1601124   .0568831    -2.81   0.005    -.2716586   -.0485663
_Istateicps_41 |  -.0376036   .0580815    -0.65   0.517    -.1514997    .0762925
_Istateicps_42 |  -.1683078   .0571551    -2.94   0.003    -.2803873   -.0562283
_Istateicps_43 |   .1898351   .0683994     2.78   0.006      .055706    .3239643
_Istateicps_44 |   .0348348   .0570269     0.61   0.541    -.0769934     .146663
_Istateicps_45 |  -.2182021   .0576716    -3.78   0.000    -.3312944   -.1051098
_Istateicps_46 |    -.00879   .0602927    -0.15   0.884    -.1270222    .1094423
_Istateicps_47 |  -.0852274    .056133    -1.52   0.129    -.1953026    .0248478
_Istateicps_48 |  -.0602693   .0591554    -1.02   0.308    -.1762714    .0557329
_Istateicps_49 |    .190732     .06261     3.05   0.002     .0679556    .3135084
_Istateicps_51 |  -.0981362   .0567599    -1.73   0.084    -.2094407    .0131684
_Istateicps_52 |  -.0922881    .102668    -0.90   0.369    -.2936172     .109041
_Istateicps_53 |  -.1371084   .0598136    -2.29   0.022    -.2544013   -.0198156
_Istateicps_54 |  -.1358605   .0574277    -2.37   0.018    -.2484746   -.0232464
_Istateicps_56 |  -.0230132   .0627052    -0.37   0.714    -.1459764    .0999499
_Istateicps_61 |  -.2987088   .0798177    -3.74   0.000    -.4552291   -.1421885
_Istateicps_63 |   .1352102   .1041981     1.30   0.195    -.0691192    .3395396
_Istateicps_64 |   .1431697   .0860057     1.66   0.096     -.025485    .3118244
_Istateicps_65 |   -.269936   .0960066    -2.81   0.005    -.4582022   -.0816698
_Istateicps_66 |   .0561726   .0839636     0.67   0.504    -.1084776    .2208227
_Istateicps_67 |  -.1104285   .0721787    -1.53   0.126    -.2519689    .0311118
_Istateicps_71 |   -.124651   .0827449    -1.51   0.132    -.2869113    .0376094
_Istateicps_72 |   .1617304   .0707247     2.29   0.022     .0230412    .3004196
_Istateicps_73 |  -.1839988   .0672955    -2.73   0.006    -.3159633   -.0520342
_Istateicps_98 |          0  (omitted)
      _Itime_2 |  -1.159211   .2294516    -5.05   0.000    -1.609159    -.709263
         _cons |   -.521426   .3063161    -1.70   0.089    -1.122103    .0792512
--------------------------------------------------------------------------------
(est1 stored)

.                    qui: sum vol_pop       if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.409"

.         eststo: xi: reg awards_pop_is iNDEXP_PC_post iNDEXP_PCx                                                         $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,713
                                                F(54, 2356)       =      42.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2354
                                                Root MSE          =     .10568

                                (Std. Err. adjusted for 2,357 clusters in panel)
--------------------------------------------------------------------------------
               |               Robust
 awards_pop_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
iNDEXP_PC_post |   .0262501   .0108969     2.41   0.016     .0048816    .0476185
    iNDEXP_PCx |   .0009675   .0059277     0.16   0.870    -.0106564    .0125915
          lpop |  -.0012901   .0044151    -0.29   0.770    -.0099479    .0073678
         unemp |   .0190389   .0745163     0.26   0.798    -.1270853    .1651632
        urban1 |   .0105568   .0040625     2.60   0.009     .0025903    .0185233
           men |  -.1902201   .1420801    -1.34   0.181    -.4688353     .088395
         black |  -.0446976   .0087566    -5.10   0.000     -.061869   -.0275263
           jap |   1.396679   .7649584     1.83   0.068    -.1033827     2.89674
           deu |   .0627847   .0460177     1.36   0.173    -.0274547    .1530241
           ita |  -.0512471   .1127208    -0.45   0.649    -.2722895    .1697952
           aut |   .0635084   .0842124     0.75   0.451    -.1016296    .2286464
     MEAN96282 |   .0002148   .0001793     1.20   0.231    -.0001369    .0005665
          vet2 |   .2523031   .1073092     2.35   0.019     .0418728    .4627335
     lc40wage2 |   .0459859   .0115324     3.99   0.000     .0233712    .0686006
iwarconpro_PC2 |  -.0006235    .004408    -0.14   0.888    -.0092674    .0080204
 _Istateicps_2 |  -.0125374    .017404    -0.72   0.471    -.0466662    .0215913
 _Istateicps_3 |   .0064126   .0121034     0.53   0.596    -.0173219    .0301471
 _Istateicps_4 |  -.0200987   .0195781    -1.03   0.305    -.0584908    .0182935
 _Istateicps_5 |   .0511793   .0358673     1.43   0.154    -.0191555    .1215141
 _Istateicps_6 |  -.0060225   .0194989    -0.31   0.757    -.0442593    .0322142
_Istateicps_11 |  -.0420284   .0182998    -2.30   0.022    -.0779138    -.006143
_Istateicps_12 |  -.0157616   .0118702    -1.33   0.184    -.0390386    .0075155
_Istateicps_13 |  -.0054505    .012722    -0.43   0.668     -.030398    .0194969
_Istateicps_14 |  -.0285016   .0133472    -2.14   0.033    -.0546752   -.0023281
_Istateicps_21 |  -.0324084   .0178804    -1.81   0.070    -.0674714    .0026547
_Istateicps_22 |  -.0516329   .0166788    -3.10   0.002    -.0843395   -.0189263
_Istateicps_23 |  -.0234273   .0190966    -1.23   0.220    -.0608752    .0140206
_Istateicps_24 |  -.0289707   .0159695    -1.81   0.070    -.0602865    .0023452
_Istateicps_25 |  -.0489978   .0222718    -2.20   0.028    -.0926721   -.0053234
_Istateicps_40 |  -.0100071   .0146549    -0.68   0.495    -.0387449    .0187307
_Istateicps_41 |  -.0269609   .0130757    -2.06   0.039    -.0526019   -.0013198
_Istateicps_42 |  -.0456422   .0140202    -3.26   0.001    -.0731354   -.0181491
_Istateicps_43 |  -.0028276   .0192274    -0.15   0.883     -.040532    .0348769
_Istateicps_44 |  -.0339193   .0141523    -2.40   0.017    -.0616716    -.006167
_Istateicps_45 |  -.0408729   .0137454    -2.97   0.003    -.0678271   -.0139186
_Istateicps_46 |   -.023602   .0141525    -1.67   0.096    -.0513546    .0041506
_Istateicps_47 |  -.0087942   .0138077    -0.64   0.524    -.0358707    .0182823
_Istateicps_48 |  -.0163033   .0147249    -1.11   0.268    -.0451783    .0125718
_Istateicps_49 |  -.0173777   .0167695    -1.04   0.300    -.0502621    .0155067
_Istateicps_51 |  -.0297396   .0147405    -2.02   0.044    -.0586453    -.000834
_Istateicps_52 |   -.006123   .0187567    -0.33   0.744    -.0429045    .0306584
_Istateicps_53 |  -.0265199   .0168345    -1.58   0.115    -.0595319    .0064921
_Istateicps_54 |  -.0144197   .0141085    -1.02   0.307    -.0420861    .0132468
_Istateicps_56 |  -.0390155    .014633    -2.67   0.008    -.0677104   -.0103206
_Istateicps_61 |   .0181789    .026509     0.69   0.493    -.0338046    .0701623
_Istateicps_63 |   .0464122   .0294157     1.58   0.115    -.0112712    .1040955
_Istateicps_64 |   .0958209   .0315664     3.04   0.002     .0339202    .1577217
_Istateicps_65 |    .018792   .0480981     0.39   0.696    -.0755269    .1131109
_Istateicps_66 |  -.0359897   .0222402    -1.62   0.106    -.0796021    .0076226
_Istateicps_67 |  -.0105613   .0243303    -0.43   0.664    -.0582723    .0371497
_Istateicps_71 |   .0087944   .0276301     0.32   0.750    -.0453875    .0629762
_Istateicps_72 |  -.0156172   .0223492    -0.70   0.485    -.0594434     .028209
_Istateicps_73 |  -.0000557   .0205598    -0.00   0.998    -.0403728    .0402615
_Istateicps_98 |          0  (omitted)
      _Itime_2 |  -.3928645   .0985888    -3.98   0.000    -.5861942   -.1995347
         _cons |   .1785854   .0978373     1.83   0.068    -.0132707    .3704416
--------------------------------------------------------------------------------
(est2 stored)

.                    qui: sum awards_pop_is if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.058"

. 
.         eststo: xi: reg vol_pop       iAGRI_PF_post   iAGRI_PFx                                                         $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,688
                                                F(54, 2356)       =      61.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2932
                                                Root MSE          =     .34877

                                (Std. Err. adjusted for 2,357 clusters in panel)
--------------------------------------------------------------------------------
               |               Robust
       vol_pop |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
 iAGRI_PF_post |   .0581994   .0128108     4.54   0.000     .0330777     .083321
     iAGRI_PFx |  -.0017052   .0104054    -0.16   0.870    -.0221098    .0186994
          lpop |   .0291492   .0127859     2.28   0.023     .0040763    .0542221
         unemp |   .7348901   .1812627     4.05   0.000     .3794392    1.090341
        urban1 |   .0546112   .0151309     3.61   0.000     .0249399    .0842824
           men |   1.277883   .4609826     2.77   0.006     .3739092    2.181857
         black |  -.3458037   .0284135   -12.17   0.000    -.4015219   -.2900856
           jap |  -.1709041    1.62298    -0.11   0.916    -3.353522    3.011714
           deu |   .2181696   .1630192     1.34   0.181    -.1015064    .5378456
           ita |  -.5783619   .2530921    -2.29   0.022    -1.074668   -.0820556
           aut |   .5784485   .3928228     1.47   0.141    -.1918657    1.348763
     MEAN96282 |   .0009119   .0004848     1.88   0.060    -.0000388    .0018625
          vet2 |   .9743516   .3640263     2.68   0.007     .2605065    1.688197
     lc40wage2 |   .1325794   .0319043     4.16   0.000      .070016    .1951428
iwarconpro_PC2 |  -.0488102   .0102717    -4.75   0.000    -.0689527   -.0286677
 _Istateicps_2 |    .072325   .0723148     1.00   0.317    -.0694823    .2141322
 _Istateicps_3 |    .059637    .065372     0.91   0.362    -.0685556    .1878297
 _Istateicps_4 |   .2356457   .0726718     3.24   0.001     .0931384     .378153
 _Istateicps_5 |    .241181   .2347151     1.03   0.304    -.2190887    .7014507
 _Istateicps_6 |   .2017443   .0643305     3.14   0.002      .075594    .3278947
_Istateicps_11 |    -.07787   .0991102    -0.79   0.432    -.2722223    .1164822
_Istateicps_12 |   -.118156   .0559842    -2.11   0.035    -.2279394   -.0083725
_Istateicps_13 |  -.0726993   .0537444    -1.35   0.176    -.1780905    .0326918
_Istateicps_14 |  -.1672451   .0537251    -3.11   0.002    -.2725985   -.0618917
_Istateicps_21 |  -.1636632   .0571094    -2.87   0.004    -.2756532   -.0516733
_Istateicps_22 |  -.1486128   .0567804    -2.62   0.009    -.2599575   -.0372681
_Istateicps_23 |  -.1909347   .0602585    -3.17   0.002    -.3090999   -.0727696
_Istateicps_24 |  -.0973508   .0562319    -1.73   0.084      -.20762    .0129183
_Istateicps_25 |   .0222576   .0714388     0.31   0.755    -.1178318    .1623469
_Istateicps_40 |  -.1471182   .0579571    -2.54   0.011    -.2607704   -.0334661
_Istateicps_41 |  -.0269744   .0585709    -0.46   0.645    -.1418303    .0878815
_Istateicps_42 |  -.1537771   .0572509    -2.69   0.007    -.2660445   -.0415097
_Istateicps_43 |   .2121699   .0681695     3.11   0.002     .0784914    .3458485
_Istateicps_44 |   .0353185   .0578792     0.61   0.542     -.078181     .148818
_Istateicps_45 |  -.2077182   .0582234    -3.57   0.000    -.3218926   -.0935437
_Istateicps_46 |   .0157106   .0609523     0.26   0.797    -.1038152    .1352363
_Istateicps_47 |  -.0795505   .0567707    -1.40   0.161    -.1908761    .0317752
_Istateicps_48 |  -.0431233   .0591913    -0.73   0.466    -.1591958    .0729492
_Istateicps_49 |   .1863147   .0623466     2.99   0.003     .0640548    .3085746
_Istateicps_51 |  -.0832587   .0572676    -1.45   0.146    -.1955589    .0290415
_Istateicps_52 |  -.0890772   .1028873    -0.87   0.387    -.2908363     .112682
_Istateicps_53 |  -.1304182    .058888    -2.21   0.027    -.2458959   -.0149404
_Istateicps_54 |  -.1278231   .0581696    -2.20   0.028    -.2418921   -.0137542
_Istateicps_56 |   .0242255    .063896     0.38   0.705    -.1010728    .1495237
_Istateicps_61 |  -.2579651   .0789121    -3.27   0.001    -.4127095   -.1032207
_Istateicps_63 |   .1353882   .1028369     1.32   0.188    -.0662719    .3370484
_Istateicps_64 |   .1456552   .0830789     1.75   0.080    -.0172601    .3085705
_Istateicps_65 |  -.2374872   .0942329    -2.52   0.012    -.4222753   -.0526992
_Istateicps_66 |   .0804815   .0812802     0.99   0.322    -.0789066    .2398696
_Istateicps_67 |  -.0953465   .0716893    -1.33   0.184    -.2359272    .0452341
_Istateicps_71 |  -.1375422   .0831006    -1.66   0.098    -.3005001    .0254158
_Istateicps_72 |   .1591456   .0699744     2.27   0.023     .0219277    .2963634
_Istateicps_73 |  -.1759226    .065675    -2.68   0.007    -.3047095   -.0471358
_Istateicps_98 |          0  (omitted)
      _Itime_2 |  -1.138477   .2155647    -5.28   0.000    -1.561193   -.7157608
         _cons |  -.5195388   .3149638    -1.65   0.099    -1.137174    .0980961
--------------------------------------------------------------------------------
(est3 stored)

.                    qui: sum vol_pop       if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.409"

.         eststo: xi: reg awards_pop_is iAGRI_PF_post   iAGRI_PFx                                                         $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,713
                                                F(54, 2356)       =      41.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2375
                                                Root MSE          =     .10553

                                (Std. Err. adjusted for 2,357 clusters in panel)
--------------------------------------------------------------------------------
               |               Robust
 awards_pop_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
 iAGRI_PF_post |   .0169546   .0041859     4.05   0.000     .0087462    .0251629
     iAGRI_PFx |  -.0000141    .002672    -0.01   0.996    -.0052538    .0052256
          lpop |  -.0020025   .0049889    -0.40   0.688    -.0117856    .0077806
         unemp |   .0499151   .0771655     0.65   0.518    -.1014042    .2012344
        urban1 |   .0083161   .0039448     2.11   0.035     .0005806    .0160517
           men |  -.1826781   .1438883    -1.27   0.204    -.4648388    .0994827
         black |  -.0438486   .0089445    -4.90   0.000    -.0613885   -.0263086
           jap |   1.283814   .7904003     1.62   0.104    -.2661381    2.833767
           deu |   .0590453   .0441453     1.34   0.181    -.0275223    .1456129
           ita |  -.0369861   .1148227    -0.32   0.747    -.2621501    .1881779
           aut |    .052768   .0828252     0.64   0.524    -.1096498    .2151858
     MEAN96282 |  -.0000389   .0001938    -0.20   0.841     -.000419    .0003412
          vet2 |   .3037224   .0913907     3.32   0.001     .1245079     .482937
     lc40wage2 |   .0429922   .0114392     3.76   0.000     .0205603    .0654241
iwarconpro_PC2 |   .0016617   .0042413     0.39   0.695    -.0066553    .0099788
 _Istateicps_2 |   -.002815   .0163523    -0.17   0.863    -.0348814    .0292514
 _Istateicps_3 |   .0111664   .0112297     0.99   0.320    -.0108547    .0331875
 _Istateicps_4 |  -.0131459   .0201626    -0.65   0.514    -.0526842    .0263924
 _Istateicps_5 |   .0543915   .0380968     1.43   0.154    -.0203151    .1290982
 _Istateicps_6 |  -.0027345   .0197236    -0.14   0.890     -.041412     .035943
_Istateicps_11 |   -.035833   .0170947    -2.10   0.036    -.0693552   -.0023109
_Istateicps_12 |  -.0131537   .0110034    -1.20   0.232    -.0347311    .0084236
_Istateicps_13 |   .0012877   .0121538     0.11   0.916    -.0225454    .0251209
_Istateicps_14 |  -.0152492    .012227    -1.25   0.212     -.039226    .0087275
_Istateicps_21 |  -.0321938   .0164786    -1.95   0.051    -.0645078    .0001202
_Istateicps_22 |  -.0512543    .016012    -3.20   0.001    -.0826533   -.0198553
_Istateicps_23 |  -.0184678    .017978    -1.03   0.304    -.0537222    .0167866
_Istateicps_24 |  -.0236047   .0147795    -1.60   0.110    -.0525869    .0053774
_Istateicps_25 |   -.048658   .0212113    -2.29   0.022    -.0902528   -.0070632
_Istateicps_40 |  -.0084044   .0155937    -0.54   0.590    -.0389833    .0221744
_Istateicps_41 |  -.0247764   .0129478    -1.91   0.056    -.0501666    .0006138
_Istateicps_42 |   -.041251   .0135991    -3.03   0.002    -.0679184   -.0145835
_Istateicps_43 |   .0036027   .0192365     0.19   0.851    -.0341195     .041325
_Istateicps_44 |   -.035503   .0147452    -2.41   0.016    -.0644181    -.006588
_Istateicps_45 |  -.0381372   .0134609    -2.83   0.005    -.0645337   -.0117407
_Istateicps_46 |  -.0167105   .0140064    -1.19   0.233    -.0441767    .0107557
_Istateicps_47 |  -.0088363   .0141324    -0.63   0.532    -.0365495     .018877
_Istateicps_48 |  -.0112519   .0141497    -0.80   0.427    -.0389989    .0164952
_Istateicps_49 |  -.0182232   .0159261    -1.14   0.253    -.0494538    .0130074
_Istateicps_51 |  -.0255458   .0147013    -1.74   0.082    -.0543746     .003283
_Istateicps_52 |  -.0060991   .0189662    -0.32   0.748    -.0432913     .031093
_Istateicps_53 |  -.0232711   .0155347    -1.50   0.134    -.0537341     .007192
_Istateicps_54 |  -.0134064   .0144933    -0.93   0.355    -.0418274    .0150146
_Istateicps_56 |  -.0245091   .0145777    -1.68   0.093    -.0530955    .0040774
_Istateicps_61 |    .033553   .0232554     1.44   0.149    -.0120501    .0791561
_Istateicps_63 |   .0483615   .0281088     1.72   0.085    -.0067591    .1034821
_Istateicps_64 |    .100509   .0295509     3.40   0.001     .0425605    .1584575
_Istateicps_65 |   .0347489   .0453202     0.77   0.443    -.0541227    .1236205
_Istateicps_66 |  -.0269595   .0200051    -1.35   0.178     -.066189      .01227
_Istateicps_67 |  -.0046109   .0230296    -0.20   0.841    -.0497714    .0405496
_Istateicps_71 |   .0068835   .0286772     0.24   0.810    -.0493518    .0631187
_Istateicps_72 |  -.0153413   .0218229    -0.70   0.482    -.0581353    .0274528
_Istateicps_73 |   .0044251   .0193134     0.23   0.819     -.033448    .0422982
_Istateicps_98 |          0  (omitted)
      _Itime_2 |  -.3344818   .0783075    -4.27   0.000    -.4880405   -.1809231
         _cons |   .1840101   .1101147     1.67   0.095    -.0319217    .3999418
--------------------------------------------------------------------------------
(est4 stored)

.                    qui: sum awards_pop_is if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.058"

. 
.         eststo: xi: reg vol_pop                            iSUM3MO_DROUGHT_ww2 iAGRI_ww2  iSUM3MO_DROUGHT_ww1 iAGRI_ww1 $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,688
                                                F(56, 2356)       =      63.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3143
                                                Root MSE          =     .34362

                                     (Std. Err. adjusted for 2,357 clusters in panel)
-------------------------------------------------------------------------------------
                    |               Robust
            vol_pop |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT_ww2 |   .0152462   .0082159     1.86   0.064     -.000865    .0313574
          iAGRI_ww2 |   .1197655   .0211086     5.67   0.000     .0783721    .1611589
iSUM3MO_DROUGHT_ww1 |  -.0973976   .0106952    -9.11   0.000    -.1183705   -.0764246
          iAGRI_ww1 |   .0232834   .0154551     1.51   0.132    -.0070236    .0535905
               lpop |   .0301058   .0131237     2.29   0.022     .0043706    .0558409
              unemp |   .7014623   .1801618     3.89   0.000     .3481702    1.054754
             urban1 |   .0494329   .0154285     3.20   0.001     .0191781    .0796876
                men |   .8492588   .4450804     1.91   0.056    -.0235311    1.722049
              black |  -.3384775   .0282103   -12.00   0.000    -.3937971   -.2831579
                jap |   -.276794   1.635845    -0.17   0.866    -3.484639    2.931051
                deu |     .11002   .1658669     0.66   0.507    -.2152402    .4352802
                ita |  -.4993524   .2541444    -1.96   0.050    -.9977224   -.0009824
                aut |   .6935593   .4025847     1.72   0.085    -.0958978    1.483016
          MEAN96282 |   .0011045   .0004811     2.30   0.022      .000161     .002048
               vet2 |   .9907838   .3459787     2.86   0.004     .3123294    1.669238
          lc40wage2 |   .1670659   .0318656     5.24   0.000     .1045783    .2295536
     iwarconpro_PC2 |  -.0494143   .0096908    -5.10   0.000    -.0684176    -.030411
      _Istateicps_2 |     .03294   .0706579     0.47   0.641    -.1056181     .171498
      _Istateicps_3 |   .0558357   .0628288     0.89   0.374    -.0673697    .1790411
      _Istateicps_4 |   .2236712   .0701703     3.19   0.001     .0860693    .3612732
      _Istateicps_5 |   .1789363   .2323485     0.77   0.441    -.2766924     .634565
      _Istateicps_6 |   .2339863    .060155     3.89   0.000      .116024    .3519486
     _Istateicps_11 |  -.1310943   .0994113    -1.32   0.187    -.3260371    .0638485
     _Istateicps_12 |  -.1688518    .050945    -3.31   0.001    -.2687534   -.0689501
     _Istateicps_13 |  -.1288462   .0482023    -2.67   0.008    -.2233696   -.0343228
     _Istateicps_14 |  -.2272827   .0482304    -4.71   0.000    -.3218612   -.1327042
     _Istateicps_21 |  -.0921058   .0544303    -1.69   0.091     -.198842    .0146305
     _Istateicps_22 |  -.1383793   .0533087    -2.60   0.009    -.2429162   -.0338424
     _Istateicps_23 |  -.1900892    .056615    -3.36   0.001    -.3011095   -.0790688
     _Istateicps_24 |  -.1453735   .0518153    -2.81   0.005    -.2469818   -.0437651
     _Istateicps_25 |     .06961   .0698609     1.00   0.319    -.0673853    .2066053
     _Istateicps_40 |  -.2088019   .0533551    -3.91   0.000    -.3134298    -.104174
     _Istateicps_41 |   .0010777   .0540944     0.02   0.984    -.1049998    .1071553
     _Istateicps_42 |  -.1905196   .0533151    -3.57   0.000    -.2950691   -.0859702
     _Istateicps_43 |   .2357587   .0645445     3.65   0.000     .1091887    .3623286
     _Istateicps_44 |   .0706253   .0536033     1.32   0.188    -.0344891    .1757398
     _Istateicps_45 |  -.2452743   .0539856    -4.54   0.000    -.3511384   -.1394101
     _Istateicps_46 |  -.0325418   .0567312    -0.57   0.566    -.1437899    .0787064
     _Istateicps_47 |  -.0987479   .0520816    -1.90   0.058    -.2008783    .0033826
     _Istateicps_48 |  -.0398943   .0559527    -0.71   0.476    -.1496159    .0698273
     _Istateicps_49 |   .2203483   .0579191     3.80   0.000     .1067705     .333926
     _Istateicps_51 |  -.0729025   .0528786    -1.38   0.168    -.1765959    .0307909
     _Istateicps_52 |  -.0977577   .1008751    -0.97   0.333    -.2955708    .1000554
     _Istateicps_53 |  -.0701282   .0550667    -1.27   0.203    -.1781124    .0378559
     _Istateicps_54 |  -.1204285   .0539925    -2.23   0.026    -.2263063   -.0145508
     _Istateicps_56 |  -.0343763   .0591299    -0.58   0.561    -.1503283    .0815758
     _Istateicps_61 |  -.2813024   .0760759    -3.70   0.000     -.430485   -.1321198
     _Istateicps_63 |   .1625648   .1041572     1.56   0.119    -.0416846    .3668141
     _Istateicps_64 |   .1835585   .0829702     2.21   0.027     .0208564    .3462606
     _Istateicps_65 |  -.2286593    .090114    -2.54   0.011    -.4053704   -.0519483
     _Istateicps_66 |   .1093603    .079959     1.37   0.172    -.0474369    .2661576
     _Istateicps_67 |   -.102649   .0674034    -1.52   0.128     -.234825    .0295271
     _Istateicps_71 |  -.1298526   .0810322    -1.60   0.109    -.2887544    .0290493
     _Istateicps_72 |   .1018311   .0654294     1.56   0.120    -.0264741    .2301364
     _Istateicps_73 |   -.175933   .0619493    -2.84   0.005    -.2974139   -.0544522
     _Istateicps_98 |          0  (omitted)
           _Itime_2 |  -1.146619   .2002999    -5.72   0.000    -1.539401   -.7538364
              _cons |  -.2013863   .3079897    -0.65   0.513    -.8053453    .4025727
-------------------------------------------------------------------------------------
(est5 stored)

.                    qui: sum vol_pop       if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.409"

.         eststo: xi: reg awards_pop_is                      iSUM3MO_DROUGHT_ww2 iAGRI_ww2  iSUM3MO_DROUGHT_ww1 iAGRI_ww1 $panelcontrols i.state
> icpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      4,713
                                                F(56, 2356)       =      40.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2353
                                                Root MSE          =      .1057

                                     (Std. Err. adjusted for 2,357 clusters in panel)
-------------------------------------------------------------------------------------
                    |               Robust
      awards_pop_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT_ww2 |   .0089767   .0026481     3.39   0.001     .0037838    .0141696
          iAGRI_ww2 |   .0189672   .0075091     2.53   0.012     .0042421    .0336923
iSUM3MO_DROUGHT_ww1 |   .0011577   .0025865     0.45   0.654    -.0039144    .0062298
          iAGRI_ww1 |  -.0035048   .0027976    -1.25   0.210    -.0089909    .0019813
               lpop |  -.0021462   .0050225    -0.43   0.669    -.0119951    .0077027
              unemp |    .030708   .0752189     0.41   0.683    -.1167941    .1782101
             urban1 |   .0093918   .0039516     2.38   0.018     .0016428    .0171407
                men |  -.2114058   .1442283    -1.47   0.143    -.4942334    .0714219
              black |  -.0446328   .0090004    -4.96   0.000    -.0622823   -.0269833
                jap |   1.209484   .7848086     1.54   0.123    -.3295033    2.748471
                deu |   .0608506   .0432256     1.41   0.159    -.0239136    .1456148
                ita |   -.048759   .1156802    -0.42   0.673    -.2756045    .1780865
                aut |   .0603219   .0855131     0.71   0.481    -.1073669    .2280107
          MEAN96282 |   .0001106    .000186     0.59   0.552    -.0002542    .0004754
               vet2 |   .3268288   .0901014     3.63   0.000     .1501426    .5035151
          lc40wage2 |    .041528   .0116141     3.58   0.000     .0187531     .064303
     iwarconpro_PC2 |   .0019849   .0042736     0.46   0.642    -.0063955    .0103652
      _Istateicps_2 |  -.0165368   .0168765    -0.98   0.327    -.0496311    .0165575
      _Istateicps_3 |   .0106142   .0120923     0.88   0.380    -.0130986    .0343269
      _Istateicps_4 |  -.0285557   .0204936    -1.39   0.164    -.0687431    .0116317
      _Istateicps_5 |   .0539709   .0378612     1.43   0.154    -.0202739    .1282156
      _Istateicps_6 |  -.0092197   .0205555    -0.45   0.654    -.0495285     .031089
     _Istateicps_11 |  -.0376516   .0187418    -2.01   0.045    -.0744037   -.0008996
     _Istateicps_12 |  -.0123686   .0116323    -1.06   0.288    -.0351791     .010442
     _Istateicps_13 |  -.0108153   .0130076    -0.83   0.406    -.0363229    .0146923
     _Istateicps_14 |  -.0266767   .0126703    -2.11   0.035    -.0515227   -.0018306
     _Istateicps_21 |  -.0381297   .0175707    -2.17   0.030    -.0725854   -.0036741
     _Istateicps_22 |  -.0595447   .0168146    -3.54   0.000    -.0925176   -.0265718
     _Istateicps_23 |   -.028874   .0186152    -1.55   0.121     -.065378    .0076299
     _Istateicps_24 |   -.034587    .015408    -2.24   0.025    -.0648017   -.0043724
     _Istateicps_25 |  -.0576247   .0218873    -2.63   0.009    -.1005451   -.0147044
     _Istateicps_40 |  -.0162029    .016023    -1.01   0.312    -.0476236    .0152178
     _Istateicps_41 |  -.0290368   .0138678    -2.09   0.036    -.0562312   -.0018424
     _Istateicps_42 |  -.0556176   .0144602    -3.85   0.000    -.0839737   -.0272614
     _Istateicps_43 |  -.0020447   .0198107    -0.10   0.918    -.0408929    .0368036
     _Istateicps_44 |   -.039437    .015747    -2.50   0.012    -.0703163   -.0085576
     _Istateicps_45 |  -.0410407   .0142093    -2.89   0.004    -.0689047   -.0131767
     _Istateicps_46 |  -.0287555   .0147691    -1.95   0.052    -.0577172    .0002062
     _Istateicps_47 |  -.0137769   .0148247    -0.93   0.353    -.0428478     .015294
     _Istateicps_48 |  -.0226819   .0153597    -1.48   0.140    -.0528018     .007438
     _Istateicps_49 |  -.0247599   .0169912    -1.46   0.145    -.0580792    .0085594
     _Istateicps_51 |  -.0368453   .0155729    -2.37   0.018    -.0673832   -.0063074
     _Istateicps_52 |  -.0076007    .019536    -0.39   0.697    -.0459101    .0307088
     _Istateicps_53 |  -.0322975   .0166479    -1.94   0.052    -.0649436    .0003486
     _Istateicps_54 |  -.0264925   .0153821    -1.72   0.085    -.0566564    .0036714
     _Istateicps_56 |  -.0382565   .0147976    -2.59   0.010    -.0672742   -.0092388
     _Istateicps_61 |    .024858   .0239316     1.04   0.299    -.0220711    .0717871
     _Istateicps_63 |   .0438219   .0285545     1.53   0.125    -.0121728    .0998165
     _Istateicps_64 |   .0985981   .0295349     3.34   0.001      .040681    .1565152
     _Istateicps_65 |   .0313623   .0449087     0.70   0.485    -.0567024    .1194269
     _Istateicps_66 |  -.0348197   .0210397    -1.65   0.098    -.0760779    .0064385
     _Istateicps_67 |  -.0108168   .0233194    -0.46   0.643    -.0565456    .0349119
     _Istateicps_71 |   .0101977   .0294042     0.35   0.729    -.0474631    .0678585
     _Istateicps_72 |  -.0219913    .022395    -0.98   0.326    -.0659072    .0219246
     _Istateicps_73 |   .0025356   .0195407     0.13   0.897    -.0357832    .0408544
     _Istateicps_98 |          0  (omitted)
           _Itime_2 |  -.2400608   .0733425    -3.27   0.001    -.3838834   -.0962382
              _cons |   .2072633    .107027     1.94   0.053    -.0026136    .4171402
-------------------------------------------------------------------------------------
(est6 stored)

.                    qui: sum awards_pop_is if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.058"

. 
.         eststo: xi:   ivreg  vol_pop       (iAGRI_PF_post = iSUM3MO_DROUGHT_ww2 iAGRI_ww2) iSUM3MO_DROUGHT_ww1 iAGRI_ww1 $panelcontrols i.stat
> eicpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)

Instrumental variables (2SLS) regression        Number of obs     =      4,688
                                                F(55, 2356)       =      64.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3020
                                                Root MSE          =     .34663

                                     (Std. Err. adjusted for 2,357 clusters in panel)
-------------------------------------------------------------------------------------
                    |               Robust
            vol_pop |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
      iAGRI_PF_post |    .109889   .0229611     4.79   0.000     .0648629     .154915
iSUM3MO_DROUGHT_ww1 |  -.0893889   .0110587    -8.08   0.000    -.1110747   -.0677032
          iAGRI_ww1 |   .0191211    .015496     1.23   0.217    -.0112661    .0495083
               lpop |    .033916   .0133122     2.55   0.011     .0078112    .0600208
              unemp |   .8643999   .1898391     4.55   0.000     .4921309    1.236669
             urban1 |   .0457613   .0157316     2.91   0.004     .0149122    .0766105
                men |   1.202793    .447132     2.69   0.007     .3259804    2.079606
              black |  -.3500966   .0281005   -12.46   0.000    -.4052009   -.2949923
                jap |  -.0014381   1.652417    -0.00   0.999    -3.241781    3.238905
                deu |   .1606604   .1670064     0.96   0.336    -.1668344    .4881553
                ita |  -.4208523    .262057    -1.61   0.108    -.9347386     .093034
                aut |   .6011023   .3924299     1.53   0.126    -.1684414    1.370646
          MEAN96282 |   .0004517    .000515     0.88   0.380    -.0005581    .0014615
               vet2 |   .7520556   .3375216     2.23   0.026     .0901853    1.413926
          lc40wage2 |   .1502438   .0327171     4.59   0.000     .0860864    .2144012
     iwarconpro_PC2 |  -.0445245   .0100205    -4.44   0.000    -.0641743   -.0248746
      _Istateicps_2 |   .1239431   .0736875     1.68   0.093    -.0205559     .268442
      _Istateicps_3 |    .065111   .0670364     0.97   0.332    -.0663454    .1965673
      _Istateicps_4 |   .3224447   .0729666     4.42   0.000     .1793592    .4655302
      _Istateicps_5 |   .1947327   .2292145     0.85   0.396    -.2547503    .6442158
      _Istateicps_6 |   .2862819    .063762     4.49   0.000     .1612464    .4113173
     _Istateicps_11 |  -.1068047   .0930514    -1.15   0.251    -.2892759    .0756664
     _Istateicps_12 |  -.1636261   .0542942    -3.01   0.003    -.2700955   -.0571567
     _Istateicps_13 |  -.0662705   .0528763    -1.25   0.210    -.1699593    .0374184
     _Istateicps_14 |  -.1590939   .0532458    -2.99   0.003    -.2635074   -.0546803
     _Istateicps_21 |  -.1138394   .0563731    -2.02   0.044    -.2243853   -.0032934
     _Istateicps_22 |  -.1365122    .055177    -2.47   0.013    -.2447128   -.0283117
     _Istateicps_23 |  -.1695624   .0592994    -2.86   0.004    -.2858469    -.053278
     _Istateicps_24 |  -.1143151   .0544729    -2.10   0.036    -.2211349   -.0074952
     _Istateicps_25 |   .0645657   .0714776     0.90   0.366    -.0755999    .2047312
     _Istateicps_40 |  -.1420016   .0595042    -2.39   0.017    -.2586876   -.0253156
     _Istateicps_41 |   .0325829   .0576405     0.57   0.572    -.0804485    .1456143
     _Istateicps_42 |  -.1345944   .0558943    -2.41   0.016    -.2442016   -.0249872
     _Istateicps_43 |   .2746514   .0677209     4.06   0.000     .1418526    .4074503
     _Istateicps_44 |   .0960152    .056959     1.69   0.092    -.0156798    .2077101
     _Istateicps_45 |  -.2198595   .0580685    -3.79   0.000    -.3337302   -.1059889
     _Istateicps_46 |    .038324   .0609976     0.63   0.530    -.0812904    .1579385
     _Istateicps_47 |  -.0611967   .0560989    -1.09   0.275     -.171205    .0488116
     _Istateicps_48 |    .015052   .0579597     0.26   0.795    -.0986052    .1287093
     _Istateicps_49 |   .2262837   .0602908     3.75   0.000     .1080553    .3445122
     _Istateicps_51 |   -.031771   .0569154    -0.56   0.577    -.1433806    .0798385
     _Istateicps_52 |  -.0797467   .1035225    -0.77   0.441    -.2827514     .123258
     _Istateicps_53 |  -.0734242    .057806    -1.27   0.204      -.18678    .0399317
     _Istateicps_54 |  -.0599814   .0570622    -1.05   0.293    -.1718788     .051916
     _Istateicps_56 |   .0562549   .0666969     0.84   0.399    -.0745358    .1870456
     _Istateicps_61 |  -.2569794    .078409    -3.28   0.001    -.4107373   -.1032215
     _Istateicps_63 |   .1355168   .1032762     1.31   0.190    -.0670049    .3380385
     _Istateicps_64 |   .1322966   .0820668     1.61   0.107     -.028634    .2932272
     _Istateicps_65 |  -.2559318   .0934661    -2.74   0.006    -.4392162   -.0726474
     _Istateicps_66 |   .1198834   .0792814     1.51   0.131    -.0355851    .2753519
     _Istateicps_67 |  -.1001742   .0702708    -1.43   0.154    -.2379733    .0376248
     _Istateicps_71 |  -.1765305   .0821637    -2.15   0.032    -.3376511   -.0154099
     _Istateicps_72 |   .1187502   .0677617     1.75   0.080    -.0141285    .2516289
     _Istateicps_73 |   -.188598   .0629521    -3.00   0.003    -.3120454   -.0651507
     _Istateicps_98 |          0  (omitted)
           _Itime_2 |  -1.639758   .2201721    -7.45   0.000     -2.07151   -1.208007
              _cons |  -.4626279   .3144344    -1.47   0.141    -1.079225    .1539689
-------------------------------------------------------------------------------------
Instrumented:  iAGRI_PF_post
Instruments:   iSUM3MO_DROUGHT_ww1 iAGRI_ww1 lpop unemp urban1 men black jap deu
               ita aut MEAN96282 vet2 lc40wage2 iwarconpro_PC2 _Istateicps_2
               _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
               _Istateicps_11 _Istateicps_12 _Istateicps_13 _Istateicps_14
               _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24
               _Istateicps_25 _Istateicps_40 _Istateicps_41 _Istateicps_42
               _Istateicps_43 _Istateicps_44 _Istateicps_45 _Istateicps_46
               _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51
               _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56
               _Istateicps_61 _Istateicps_63 _Istateicps_64 _Istateicps_65
               _Istateicps_66 _Istateicps_67 _Istateicps_71 _Istateicps_72
               _Istateicps_73 _Istateicps_98 _Itime_2 iSUM3MO_DROUGHT_ww2 iAGRI_ww2
-------------------------------------------------------------------------------------
(est7 stored)

.                    qui: sum vol_pop       if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.409"

.         eststo: xi:   ivreg  awards_pop_is (iAGRI_PF_post = iSUM3MO_DROUGHT_ww2 iAGRI_ww2) iSUM3MO_DROUGHT_ww1 iAGRI_ww1 $panelcontrols i.stat
> eicpsr i.time , cluster(panel)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
i.time            _Itime_1-2          (naturally coded; _Itime_1 omitted)

Instrumental variables (2SLS) regression        Number of obs     =      4,713
                                                F(55, 2356)       =      40.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2317
                                                Root MSE          =     .10595

                                     (Std. Err. adjusted for 2,357 clusters in panel)
-------------------------------------------------------------------------------------
                    |               Robust
      awards_pop_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
      iAGRI_PF_post |   .0326172   .0072003     4.53   0.000     .0184976    .0467368
iSUM3MO_DROUGHT_ww1 |   .0032929   .0026335     1.25   0.211    -.0018712     .008457
          iAGRI_ww1 |   -.004396   .0028186    -1.56   0.119    -.0099232    .0011312
               lpop |  -.0010221   .0050279    -0.20   0.839    -.0108817    .0088375
              unemp |   .0758572   .0749411     1.01   0.312    -.0711001    .2228146
             urban1 |   .0080316   .0040181     2.00   0.046     .0001523     .015911
                men |  -.1272807   .1460159    -0.87   0.383    -.4136138    .1590523
              black |   -.045045    .008986    -5.01   0.000    -.0626664   -.0274237
                jap |   1.247471   .7925112     1.57   0.116    -.3066209    2.801563
                deu |   .0717115   .0434292     1.65   0.099    -.0134519     .156875
                ita |  -.0232786   .1178876    -0.20   0.843    -.2544527    .2078956
                aut |   .0384216   .0852149     0.45   0.652    -.1286825    .2055257
          MEAN96282 |  -.0001888   .0001902    -0.99   0.321    -.0005619    .0001843
               vet2 |   .2629551   .0915593     2.87   0.004     .0834099    .4425003
          lc40wage2 |   .0369332   .0116407     3.17   0.002     .0141062    .0597603
     iwarconpro_PC2 |   .0030982   .0043097     0.72   0.472     -.005353    .0115494
      _Istateicps_2 |    .008408    .016411     0.51   0.608    -.0237734    .0405895
      _Istateicps_3 |   .0136494   .0105632     1.29   0.196    -.0070648    .0343636
      _Istateicps_4 |  -.0031412   .0204615    -0.15   0.878    -.0432656    .0369831
      _Istateicps_5 |   .0582293   .0386004     1.51   0.132     -.017465    .1339237
      _Istateicps_6 |   .0057611   .0202249     0.28   0.776    -.0338994    .0454216
     _Istateicps_11 |  -.0304143   .0156169    -1.95   0.052    -.0610385      .00021
     _Istateicps_12 |  -.0109523   .0107613    -1.02   0.309     -.032055    .0101503
     _Istateicps_13 |   .0088398   .0121398     0.73   0.467     -.014966    .0326456
     _Istateicps_14 |  -.0055437   .0122455    -0.45   0.651    -.0295568    .0184694
     _Istateicps_21 |  -.0384775   .0164828    -2.33   0.020    -.0707998   -.0061552
     _Istateicps_22 |  -.0526894   .0156535    -3.37   0.001    -.0833855   -.0219934
     _Istateicps_23 |  -.0178643   .0175572    -1.02   0.309    -.0522934    .0165648
     _Istateicps_24 |  -.0209639   .0143104    -1.46   0.143    -.0490261    .0070983
     _Istateicps_25 |  -.0546303   .0209788    -2.60   0.009    -.0957692   -.0134914
     _Istateicps_40 |   .0038118   .0158097     0.24   0.809    -.0271906    .0348142
     _Istateicps_41 |  -.0192316   .0130326    -1.48   0.140    -.0447881    .0063249
     _Istateicps_42 |  -.0363209   .0134542    -2.70   0.007    -.0627042   -.0099376
     _Istateicps_43 |   .0103501   .0192984     0.54   0.592    -.0274935    .0481937
     _Istateicps_44 |   -.031083   .0148783    -2.09   0.037    -.0602589    -.001907
     _Istateicps_45 |  -.0317435   .0134048    -2.37   0.018    -.0580299    -.005457
     _Istateicps_46 |  -.0066279   .0141458    -0.47   0.639    -.0343675    .0211117
     _Istateicps_47 |  -.0020872   .0141179    -0.15   0.882    -.0297721    .0255976
     _Istateicps_48 |  -.0067716   .0142395    -0.48   0.634    -.0346948    .0211515
     _Istateicps_49 |  -.0219339   .0160126    -1.37   0.171    -.0533342    .0094665
     _Istateicps_51 |  -.0205087   .0147417    -1.39   0.164    -.0494167    .0083993
     _Istateicps_52 |  -.0021514    .018707    -0.12   0.908    -.0388352    .0345325
     _Istateicps_53 |  -.0266203   .0155154    -1.72   0.086    -.0570456     .003805
     _Istateicps_54 |  -.0078252   .0146261    -0.54   0.593    -.0365066    .0208561
     _Istateicps_56 |  -.0100028   .0151739    -0.66   0.510    -.0397583    .0197528
     _Istateicps_61 |   .0377189   .0230394     1.64   0.102    -.0074606    .0828984
     _Istateicps_63 |   .0435403   .0277664     1.57   0.117    -.0109089    .0979895
     _Istateicps_64 |   .0922581   .0293066     3.15   0.002     .0347888    .1497275
     _Istateicps_65 |   .0316938   .0455901     0.70   0.487    -.0577071    .1210947
     _Istateicps_66 |  -.0265166   .0196167    -1.35   0.177    -.0649844    .0119512
     _Istateicps_67 |  -.0040634   .0226931    -0.18   0.858     -.048564    .0404372
     _Istateicps_71 |   .0009813    .029141     0.03   0.973    -.0561634    .0581261
     _Istateicps_72 |  -.0146525   .0221238    -0.66   0.508    -.0580368    .0287317
     _Istateicps_73 |   .0032656   .0188954     0.17   0.863    -.0337878     .040319
     _Istateicps_98 |          0  (omitted)
           _Itime_2 |  -.3806078    .081556    -4.67   0.000    -.5405369   -.2206787
              _cons |   .1382414   .1078158     1.28   0.200    -.0731822    .3496651
-------------------------------------------------------------------------------------
Instrumented:  iAGRI_PF_post
Instruments:   iSUM3MO_DROUGHT_ww1 iAGRI_ww1 lpop unemp urban1 men black jap deu
               ita aut MEAN96282 vet2 lc40wage2 iwarconpro_PC2 _Istateicps_2
               _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
               _Istateicps_11 _Istateicps_12 _Istateicps_13 _Istateicps_14
               _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24
               _Istateicps_25 _Istateicps_40 _Istateicps_41 _Istateicps_42
               _Istateicps_43 _Istateicps_44 _Istateicps_45 _Istateicps_46
               _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51
               _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56
               _Istateicps_61 _Istateicps_63 _Istateicps_64 _Istateicps_65
               _Istateicps_66 _Istateicps_67 _Istateicps_71 _Istateicps_72
               _Istateicps_73 _Istateicps_98 _Itime_2 iSUM3MO_DROUGHT_ww2 iAGRI_ww2
-------------------------------------------------------------------------------------
(est8 stored)

.                    qui: sum awards_pop_is if e(sample) == 1 & time == 1

.         estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.058"

. 
.         esttab using "results/tables/AppTab8_tab-panel.tex" ,                                                                                /
> //
>                 indicate("County controls = $panelcontrols" "War FEs = *time*" "State FEs = *state*" )                                        
>        ///
>                 order(iNDEXP_PC_post iNDEXP_PCx iAGRI_PF_post iAGRI_PFx iSUM3MO_DROUGHT_ww2 iAGRI_ww2 iSUM3MO_DROUGHT_ww1 iAGRI_ww1)         /
> //
>                 drop(_cons)                                                                                                                  /
> //
>                 mgroups("Volunteers" "Medals" "Volunteers" "Medals" "Volunteers" "Medals" "Volunteers" "Medals", pattern(1 1 1 1 1 1 1 1 )   /
> //
>                                 prefix(\multicolumn{@span}{c}{) suffix(})                                                                     
>        ///
>                                 span erepeat(\cmidrule(lr){@span}) )                                                                          
>                ///
>                 mlabel("OLS" "OLS" "OLS" "OLS" "RF" "RF" "2SLS" "2SLS")                                                                      /
> //
>                 scalars("y_mean_round Mean dependent variable" )                                                                              
>        ///
>                 replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                      
>    ///
>                 b(%9.3f) se(%9.3f) r2(%9.3f) nonotes                                                                                          
>       ///
>                 nogaps title(New Deal Support and Patriotism: Panel Regressions\label{tab:panel}.)
(output written to results/tables/AppTab8_tab-panel.tex)

. restore

.                 
. ***************************************************************************************************
. ****         Tab 9.  Frontier experience                                                                   ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg iwarbond_1944_PC    iAGRI_PF   tye_tfe890_500k_100_l6 $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,020
                                                F(65, 2954)       =      97.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6839
                                                Root MSE          =     .38131

----------------------------------------------------------------------------------------
                       |               Robust
      iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .1586986   .0142938    11.10   0.000     .1306718    .1867254
tye_tfe890_500k_100_l6 |  -.0145582   .0074598    -1.95   0.051    -.0291852    .0000688
            ww1_vol_sh |  -.0054197   .0351359    -0.15   0.877    -.0743131    .0634737
   ww1_awards_pop10_is |   .1912436   .0781937     2.45   0.015      .037924    .3445632
                lpop30 |  -.0417519   .0158188    -2.64   0.008     -.072769   -.0107349
              c30unemp |  -.3844307     .26196    -1.47   0.142    -.8980733    .1292119
             c30urban1 |   .0529701   .0190815     2.78   0.006     .0155557    .0903844
               c30farm |   -.424163   .0785517    -5.40   0.000    -.5781845   -.2701414
               iYf_T29 |   .0551438   .0195574     2.82   0.005     .0167962    .0934914
              MEAN9628 |    .002096   .0009106     2.30   0.021     .0003105    .0038816
                c30men |  -1.657179    .641222    -2.58   0.010    -2.914466   -.3998918
              c30black |  -.2895437   .0860705    -3.36   0.001     -.458308   -.1207794
                c30jap |   5.506198   1.951326     2.82   0.005     1.680102    9.332295
                c30deu |   .6143665   .1718041     3.58   0.000     .2774987    .9512343
                c30ita |    .113462   .4782985     0.24   0.813    -.8243701    1.051294
                c30vet |   1.038051   .3056516     3.40   0.001     .4387398    1.637363
              lc40wage |    .457937   .0554682     8.26   0.000     .3491767    .5666973
         iwarconpro_PC |   .2790165   .0225355    12.38   0.000     .2348296    .3232035
         _Istateicps_2 |   .0022739   .1478658     0.02   0.988    -.2876566    .2922044
         _Istateicps_3 |  -.1542442   .1394064    -1.11   0.269    -.4275876    .1190993
         _Istateicps_4 |   .0381905   .1817307     0.21   0.834    -.3181412    .3945222
         _Istateicps_5 |  -.3244927      .3843    -0.84   0.399    -1.078016    .4290302
         _Istateicps_6 |   .0593158   .1395883     0.42   0.671    -.2143844    .3330159
        _Istateicps_11 |   .3331937   .1605703     2.08   0.038     .0183527    .6480347
        _Istateicps_12 |  -.0650259    .131236    -0.50   0.620    -.3223492    .1922974
        _Istateicps_13 |   .0879008   .1158084     0.76   0.448    -.1391726    .3149741
        _Istateicps_14 |   .1585641   .1177869     1.35   0.178    -.0723885    .3895167
        _Istateicps_21 |   .1195971   .1225174     0.98   0.329    -.1206311    .3598253
        _Istateicps_22 |   .0629209   .1233815     0.51   0.610    -.1790015    .3048433
        _Istateicps_23 |   .0415689    .124016     0.34   0.738    -.2015976    .2847354
        _Istateicps_24 |    .037972   .1217673     0.31   0.755    -.2007853    .2767294
        _Istateicps_25 |   .0737054   .1293939     0.57   0.569     -.180006    .3274167
        _Istateicps_31 |   .5512352   .1270781     4.34   0.000     .3020647    .8004058
        _Istateicps_32 |   .4066182   .1270756     3.20   0.001     .1574525    .6557839
        _Istateicps_33 |   .3682732   .1308933     2.81   0.005     .1116218    .6249246
        _Istateicps_34 |   .0494088   .1242561     0.40   0.691    -.1942286    .2930462
        _Istateicps_35 |   .5166204   .1289818     4.01   0.000      .263717    .7695238
        _Istateicps_36 |   .5856917   .1479107     3.96   0.000     .2956732    .8757103
        _Istateicps_37 |   .4085402   .1319335     3.10   0.002     .1498493     .667231
        _Istateicps_40 |   .0819448   .1326202     0.62   0.537    -.1780926    .3419821
        _Istateicps_41 |   .0143803   .1295998     0.11   0.912    -.2397348    .2684954
        _Istateicps_42 |  -.3504851   .1330518    -2.63   0.008    -.6113688   -.0896015
        _Istateicps_43 |   .0132104   .1462286     0.09   0.928    -.2735097    .2999306
        _Istateicps_44 |  -.1525876   .1321659    -1.15   0.248     -.411734    .1065589
        _Istateicps_45 |   -.230665   .1348408    -1.71   0.087    -.4950565    .0337264
        _Istateicps_46 |  -.0226229   .1337956    -0.17   0.866     -.284965    .2397193
        _Istateicps_47 |  -.0908669   .1291507    -0.70   0.482    -.3441014    .1623676
        _Istateicps_48 |  -.4000943   .1448323    -2.76   0.006    -.6840768   -.1161119
        _Istateicps_49 |   .0855161   .1275313     0.67   0.503    -.1645432    .3355753
        _Istateicps_51 |  -.2515226     .12591    -2.00   0.046    -.4984029   -.0046424
        _Istateicps_52 |  -.0706752   .1538036    -0.46   0.646    -.3722482    .2308978
        _Istateicps_53 |   .0973869   .1280306     0.76   0.447    -.1536513    .3484251
        _Istateicps_54 |  -.1316826   .1269533    -1.04   0.300    -.3806084    .1172432
        _Istateicps_56 |  -.0289281   .1288431    -0.22   0.822    -.2815595    .2237033
        _Istateicps_61 |   .0402783   .1559823     0.26   0.796    -.2655668    .3461234
        _Istateicps_62 |    .073194   .1276538     0.57   0.566    -.1771054    .3234934
        _Istateicps_63 |   .1387451   .1438691     0.96   0.335    -.1433488     .420839
        _Istateicps_64 |   .5627808   .1377975     4.08   0.000     .2925919    .8329698
        _Istateicps_65 |   .1525353   .1893744     0.81   0.421    -.2187839    .5238545
        _Istateicps_66 |  -.1911239   .1513009    -1.26   0.207    -.4877898     .105542
        _Istateicps_67 |   -.066035   .1399396    -0.47   0.637     -.340424    .2083539
        _Istateicps_68 |    .278869   .1346881     2.07   0.038     .0147769    .5429611
        _Istateicps_71 |   .1351182     .13137     1.03   0.304     -.122468    .3927043
        _Istateicps_72 |    .558754   .1326591     4.21   0.000     .2986403    .8188676
        _Istateicps_73 |   .4434248   .1615401     2.74   0.006     .1266823    .7601674
        _Istateicps_98 |          0  (omitted)
                 _cons |   1.582397   .5466497     2.89   0.004     .5105439     2.65425
----------------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum iwarbond_1944_PC    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.659"

. eststo: xi:  reg ww2_vol_pop40       iAGRI_PF   tye_tfe890_500k_100_l6 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =      72.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6233
                                                Root MSE          =     .21233

----------------------------------------------------------------------------------------
                       |               Robust
         ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .0373834   .0072791     5.14   0.000     .0231091    .0516578
tye_tfe890_500k_100_l6 |   .0022437   .0040899     0.55   0.583    -.0057766     .010264
            ww1_vol_sh |   .1095843    .026301     4.17   0.000     .0580079    .1611607
   ww1_awards_pop10_is |     .12766   .1003758     1.27   0.204    -.0691778    .3244979
                lpop30 |    -.01271   .0110413    -1.15   0.250    -.0343621     .008942
              c30unemp |   .6101686   .2048585     2.98   0.003     .2084394    1.011898
             c30urban1 |    .006933   .0128998     0.54   0.591    -.0183635    .0322296
               c30farm |  -.0874028   .0551402    -1.59   0.113    -.1955332    .0207277
               iYf_T29 |  -.0279476   .0117566    -2.38   0.018    -.0510024   -.0048929
              MEAN9628 |   -.000372   .0005327    -0.70   0.485    -.0014167    .0006726
                c30men |  -1.260417    .513735    -2.45   0.014    -2.267856   -.2529786
              c30black |  -.4300621   .0386346   -11.13   0.000    -.5058249   -.3542993
                c30jap |   .7445331   1.236552     0.60   0.547    -1.680356    3.169422
                c30deu |  -.7122895   .1523556    -4.68   0.000     -1.01106   -.4135189
                c30ita |  -.2299025   .2362757    -0.97   0.331    -.6932413    .2334362
                c30vet |   1.114554   .3188142     3.50   0.000     .4893564    1.739751
              lc40wage |   .2112898   .0332259     6.36   0.000     .1461335     .276446
         iwarconpro_PC |  -.0338381   .0077757    -4.35   0.000    -.0490863   -.0185899
         _Istateicps_2 |   .0052855   .0579711     0.09   0.927    -.1083962    .1189673
         _Istateicps_3 |   .0340122   .0565985     0.60   0.548    -.0769779    .1450024
         _Istateicps_4 |   .2404895   .0784861     3.06   0.002     .0865776    .3944015
         _Istateicps_5 |  -.0047069   .0604736    -0.08   0.938     -.123296    .1138823
         _Istateicps_6 |   .3055561   .0778087     3.93   0.000     .1529727    .4581396
        _Istateicps_11 |  -.1664788   .0654977    -2.54   0.011    -.2949204   -.0380373
        _Istateicps_12 |  -.0912841   .0520904    -1.75   0.080    -.1934338    .0108656
        _Istateicps_13 |   .0496226   .0519129     0.96   0.339     -.052179    .1514242
        _Istateicps_14 |  -.1923731   .0505222    -3.81   0.000    -.2914475   -.0932988
        _Istateicps_21 |   .0182995   .0549278     0.33   0.739    -.0894144    .1260134
        _Istateicps_22 |  -.0849314   .0542503    -1.57   0.118    -.1913166    .0214538
        _Istateicps_23 |  -.0331571    .060586    -0.55   0.584    -.1519668    .0856526
        _Istateicps_24 |  -.0937702   .0540307    -1.74   0.083    -.1997247    .0121844
        _Istateicps_25 |   .1939198   .0643824     3.01   0.003     .0676653    .3201742
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -.1444963   .0552314    -2.62   0.009    -.2528055   -.0361872
        _Istateicps_41 |   .0923058   .0579313     1.59   0.111    -.0212979    .2059095
        _Istateicps_42 |  -.2282295   .0557322    -4.10   0.000    -.3375208   -.1189382
        _Istateicps_43 |   .2155056   .0630453     3.42   0.001     .0918733     .339138
        _Istateicps_44 |   .1659868   .0569224     2.92   0.004     .0543616    .2776121
        _Istateicps_45 |  -.1883307   .0565295    -3.33   0.001    -.2991856   -.0774758
        _Istateicps_46 |   .1406078   .0598776     2.35   0.019     .0231872    .2580283
        _Istateicps_47 |  -.0126177   .0543282    -0.23   0.816    -.1191557    .0939203
        _Istateicps_48 |   .0713545   .0600723     1.19   0.235    -.0464479    .1891568
        _Istateicps_49 |   .5213577   .0584186     8.92   0.000     .4067984    .6359171
        _Istateicps_51 |   .0547377   .0552808     0.99   0.322    -.0536684    .1631439
        _Istateicps_52 |  -.2911336   .0577018    -5.05   0.000    -.4042873   -.1779799
        _Istateicps_53 |   .1439826   .0582376     2.47   0.013     .0297781    .2581872
        _Istateicps_54 |  -.0285889   .0564014    -0.51   0.612    -.1391926    .0820148
        _Istateicps_56 |   .1051075   .0604048     1.74   0.082    -.0133468    .2235618
        _Istateicps_61 |  -.4894463   .0648436    -7.55   0.000    -.6166051   -.3622874
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.0589531   .0643195    -0.92   0.359    -.1850841     .067178
        _Istateicps_64 |   .1734289   .0674687     2.57   0.010     .0411222    .3057355
        _Istateicps_65 |  -.1623957   .0905904    -1.79   0.073    -.3400443    .0152529
        _Istateicps_66 |     .08979    .071558     1.25   0.210    -.0505359     .230116
        _Istateicps_67 |   -.209414   .0637231    -3.29   0.001    -.3343755   -.0844524
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .0008815   .0693223     0.01   0.990    -.1350601    .1368231
        _Istateicps_72 |  -.1542844   .0659323    -2.34   0.019    -.2835782   -.0249907
        _Istateicps_73 |   .0527306    .065885     0.80   0.424    -.0764706    .1819317
        _Istateicps_98 |          0  (omitted)
                 _cons |  -.2152566   .3293432    -0.65   0.513    -.8611015    .4305883
----------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum ww2_vol_pop40       if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is iAGRI_PF   tye_tfe890_500k_100_l6 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =      12.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1876
                                                Root MSE          =     .11645

----------------------------------------------------------------------------------------
                       |               Robust
   ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .0138185   .0038605     3.58   0.000      .006248     .021389
tye_tfe890_500k_100_l6 |   .0022569   .0020942     1.08   0.281    -.0018498    .0063637
            ww1_vol_sh |   .0560277   .0207791     2.70   0.007     .0152796    .0967757
   ww1_awards_pop10_is |     .03653   .0339877     1.07   0.283    -.0301203    .1031802
                lpop30 |  -.0174803   .0134364    -1.30   0.193    -.0438293    .0088686
              c30unemp |   .1534789   .1548877     0.99   0.322    -.1502571    .4572149
             c30urban1 |   .0056308   .0061839     0.91   0.363    -.0064958    .0177575
               c30farm |   .0268048     .02568     1.04   0.297    -.0235539    .0771635
               iYf_T29 |   .0133423   .0098374     1.36   0.175     -.005949    .0326336
              MEAN9628 |  -.0000679   .0003336    -0.20   0.839    -.0007222    .0005864
                c30men |  -.5421996   .2475485    -2.19   0.029    -1.027644   -.0567549
              c30black |  -.0462602   .0221862    -2.09   0.037    -.0897675   -.0027528
                c30jap |   .8936944   1.323241     0.68   0.500    -1.701193    3.488582
                c30deu |   .0544482   .1227192     0.44   0.657    -.1862052    .2951016
                c30ita |  -.0053589   .1704566    -0.03   0.975    -.3396258     .328908
                c30vet |   .2683919   .1091152     2.46   0.014      .054416    .4823678
              lc40wage |   .0576329    .019612     2.94   0.003     .0191736    .0960922
         iwarconpro_PC |   .0049538   .0045753     1.08   0.279    -.0040185    .0139261
         _Istateicps_2 |   -.023832   .0319417    -0.75   0.456    -.0864699    .0388059
         _Istateicps_3 |  -.0025299   .0227225    -0.11   0.911     -.047089    .0420292
         _Istateicps_4 |   -.024006   .0381817    -0.63   0.530    -.0988806    .0508686
         _Istateicps_5 |   .0584689   .0554549     1.05   0.292    -.0502786    .1672164
         _Istateicps_6 |  -.0223078   .0391781    -0.57   0.569    -.0991364    .0545207
        _Istateicps_11 |  -.0436474   .0266078    -1.64   0.101    -.0958256    .0085308
        _Istateicps_12 |  -.0372686   .0235101    -1.59   0.113    -.0833722     .008835
        _Istateicps_13 |  -.0045939   .0222365    -0.21   0.836    -.0481998    .0390119
        _Istateicps_14 |  -.0305412   .0232639    -1.31   0.189    -.0761619    .0150796
        _Istateicps_21 |  -.0464295   .0304313    -1.53   0.127    -.1061055    .0132466
        _Istateicps_22 |  -.0711232   .0306437    -2.32   0.020    -.1312158   -.0110307
        _Istateicps_23 |  -.0389667   .0344802    -1.13   0.259    -.1065827    .0286494
        _Istateicps_24 |  -.0262538   .0294124    -0.89   0.372    -.0839319    .0314242
        _Istateicps_25 |  -.0764475   .0439501    -1.74   0.082     -.162634     .009739
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -.0215972   .0264045    -0.82   0.413    -.0733767    .0301824
        _Istateicps_41 |  -.0310305   .0249142    -1.25   0.213    -.0798874    .0178264
        _Istateicps_42 |  -.0426702   .0250424    -1.70   0.089    -.0917786    .0064382
        _Istateicps_43 |   .0058583   .0346512     0.17   0.866    -.0620929    .0738096
        _Istateicps_44 |  -.0442752   .0265434    -1.67   0.095    -.0963271    .0077766
        _Istateicps_45 |  -.0373045   .0254482    -1.47   0.143    -.0872087    .0125996
        _Istateicps_46 |  -.0045759   .0268515    -0.17   0.865    -.0572319      .04808
        _Istateicps_47 |  -.0399084   .0242835    -1.64   0.100    -.0875285    .0077117
        _Istateicps_48 |  -.0238352   .0266324    -0.89   0.371    -.0760616    .0283912
        _Istateicps_49 |  -.0006399   .0248408    -0.03   0.979     -.049353    .0480732
        _Istateicps_51 |  -.0304871    .025461    -1.20   0.231    -.0804164    .0194422
        _Istateicps_52 |  -.0277982   .0351363    -0.79   0.429    -.0967007    .0411044
        _Istateicps_53 |  -.0169797   .0259506    -0.65   0.513     -.067869    .0339096
        _Istateicps_54 |  -.0320912   .0246565    -1.30   0.193    -.0804428    .0162603
        _Istateicps_56 |  -.0181392   .0268561    -0.68   0.499    -.0708043    .0345259
        _Istateicps_61 |   .0295737   .0405512     0.73   0.466    -.0499476     .109095
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |   .0064093   .0432368     0.15   0.882    -.0783784    .0911971
        _Istateicps_64 |   .1187534   .0466246     2.55   0.011     .0273222    .2101846
        _Istateicps_65 |   .0076199   .0627259     0.12   0.903    -.1153862    .1306259
        _Istateicps_66 |  -.0071079   .0315369    -0.23   0.822     -.068952    .0547363
        _Istateicps_67 |   .0079495    .041982     0.19   0.850    -.0743776    .0902765
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .0618413   .0535498     1.15   0.248    -.0431704     .166853
        _Istateicps_72 |   -.015596   .0397914    -0.39   0.695    -.0936273    .0624352
        _Istateicps_73 |   .0259464   .0372439     0.70   0.486    -.0470892    .0989819
        _Istateicps_98 |          0  (omitted)
                 _cons |   .0388902   .1830162     0.21   0.832    -.3200062    .3977866
----------------------------------------------------------------------------------------
(est3 stored)

.                 qui: sum ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                 iAGRI_PF   tye_tfe890_500k_100_l6 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =     102.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6531
                                                Root MSE          =     .74934

----------------------------------------------------------------------------------------
                       |               Robust
                   pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .2343093   .0258977     9.05   0.000     .1835237    .2850949
tye_tfe890_500k_100_l6 |   .0031724    .014412     0.22   0.826    -.0250896    .0314344
            ww1_vol_sh |   .4499958   .1166309     3.86   0.000     .2212816    .6787099
   ww1_awards_pop10_is |   .5740959   .2684306     2.14   0.033     .0477012    1.100491
                lpop30 |  -.1485693   .0696484    -2.13   0.033    -.2851504   -.0119882
              c30unemp |   1.607035   .8883381     1.81   0.071    -.1350041    3.349073
             c30urban1 |    .116625   .0421351     2.77   0.006     .0339976    .1992524
               c30farm |  -.4355665   .1808729    -2.41   0.016    -.7902599   -.0808731
               iYf_T29 |    .061571   .0560119     1.10   0.272    -.0482689    .1714108
              MEAN9628 |   .0022367   .0019825     1.13   0.259    -.0016509    .0061243
                c30men |   -6.45712   1.479855    -4.36   0.000     -9.35913   -3.555111
              c30black |  -1.171447   .1473251    -7.95   0.000    -1.460353   -.8825417
                c30jap |   11.10182   6.971375     1.59   0.111    -2.569105    24.77275
                c30deu |   -.067407   .6759301    -0.10   0.921    -1.392912    1.258098
                c30ita |  -.4894738   1.111439    -0.44   0.660    -2.669016    1.690068
                c30vet |   3.891306   .7921622     4.91   0.000      2.33787    5.444743
              lc40wage |   1.040364   .1277878     8.14   0.000     .7897706    1.290957
         iwarconpro_PC |   .2329074   .0315444     7.38   0.000     .1710485    .2947662
         _Istateicps_2 |  -.1126409   .2176571    -0.52   0.605    -.5394683    .3141865
         _Istateicps_3 |  -.0769643   .2140972    -0.36   0.719    -.4968108    .3428823
         _Istateicps_4 |   .3109342   .2826269     1.10   0.271    -.2432997    .8651681
         _Istateicps_5 |  -.0609592   .4786298    -0.13   0.899    -.9995564    .8776381
         _Istateicps_6 |   .4969677   .2742277     1.81   0.070    -.0407952     1.03473
        _Istateicps_11 |  -.1564825   .2048341    -0.76   0.445     -.558164     .245199
        _Istateicps_12 |  -.3664532   .1893015    -1.94   0.053    -.7376752    .0047687
        _Istateicps_13 |   .1348315   .1788237     0.75   0.451    -.2158433    .4855063
        _Istateicps_14 |  -.3244554   .1839481    -1.76   0.078    -.6851792    .0362684
        _Istateicps_21 |  -.0290248   .2111767    -0.14   0.891    -.4431441    .3850945
        _Istateicps_22 |  -.3714869   .2126425    -1.75   0.081    -.7884808    .0455069
        _Istateicps_23 |  -.1613013   .2347801    -0.69   0.492    -.6217072    .2991045
        _Istateicps_24 |  -.2403385   .2085533    -1.15   0.249    -.6493134    .1686363
        _Istateicps_25 |   .0717072    .270024     0.27   0.791    -.4578122    .6012266
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -.2428272   .2060525    -1.18   0.239    -.6468978    .1612435
        _Istateicps_41 |   .0728772   .2009856     0.36   0.717    -.3212573    .4670116
        _Istateicps_42 |  -.8325027   .2039954    -4.08   0.000    -1.232539   -.4324659
        _Istateicps_43 |   .3958004    .244153     1.62   0.105    -.0829857    .8745864
        _Istateicps_44 |  -.0101378   .2070338    -0.05   0.961    -.4161329    .3958573
        _Istateicps_45 |  -.6632353   .2035709    -3.26   0.001     -1.06244   -.2640311
        _Istateicps_46 |    .203667   .2131064     0.96   0.339    -.2142365    .6215704
        _Istateicps_47 |  -.2334484    .198416    -1.18   0.239    -.6225439    .1556471
        _Istateicps_48 |  -.3286947   .2117205    -1.55   0.121    -.7438805    .0864911
        _Istateicps_49 |   .9961331   .2025419     4.92   0.000     .5989468    1.393319
        _Istateicps_51 |  -.2052514   .1996085    -1.03   0.304    -.5966854    .1861826
        _Istateicps_52 |  -.6441051   .2538602    -2.54   0.011    -1.141927   -.1462831
        _Istateicps_53 |   .3214764   .2017209     1.59   0.111    -.0740999    .7170527
        _Istateicps_54 |  -.2522826   .1976202    -1.28   0.202    -.6398176    .1352523
        _Istateicps_56 |   .0788653   .2107489     0.37   0.708     -.334415    .4921457
        _Istateicps_61 |    -.63825   .2718923    -2.35   0.019    -1.171433   -.1050669
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |   .1072611   .2654374     0.40   0.686    -.4132639    .6277861
        _Istateicps_64 |   1.365597    .269292     5.07   0.000     .8375132    1.893681
        _Istateicps_65 |  -.0785358   .4123433    -0.19   0.849    -.8871445    .7300729
        _Istateicps_66 |  -.0001783   .2625833    -0.00   0.999    -.5151064    .5147497
        _Istateicps_67 |  -.3420975   .2727296    -1.25   0.210    -.8769226    .1927276
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .4230117   .3086107     1.37   0.171    -.1821765      1.0282
        _Istateicps_72 |    .196298   .2554137     0.77   0.442    -.3045705    .6971665
        _Istateicps_73 |   .6279921   .2779861     2.26   0.024     .0828589    1.173125
        _Istateicps_98 |          0  (omitted)
                 _cons |  -4.253869   1.166448    -3.65   0.000    -6.541283   -1.966454
----------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum pc1                 if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. eststo: xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) tye_tfe890_500k_100_l6 $control if sample_ols == 1         
>                 , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   3020
Number of clusters (CLIMDIVX) =    339
----------------------------------------------------------------------------------------
                       |               Robust
              iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   iSUM3MO_DROUGHT3340 |   .2883381    .057629     5.00   0.000     .1753411    .4013351
             iAGRI_T73 |   .2634326   .0762512     3.45   0.001     .1139218    .4129434
tye_tfe890_500k_100_l6 |  -.1110185   .0217702    -5.10   0.000    -.1537048   -.0683321
            ww1_vol_sh |   .0301703     .07584     0.40   0.691    -.1185343     .178875
   ww1_awards_pop10_is |   .0079935    .147609     0.05   0.957    -.2814335    .2974205
                lpop30 |  -.1551382   .0406594    -3.82   0.000    -.2348618   -.0754145
              c30unemp |  -1.478459   .5999541    -2.46   0.014    -2.654829   -.3020882
             c30urban1 |   .1499695   .0429517     3.49   0.000     .0657511    .2341878
               c30farm |   .3674024   .2909641     1.26   0.207    -.2031106    .9379155
               iYf_T29 |   .2614078    .069696     3.75   0.000     .1247502    .3980655
              MEAN9628 |   .0083859   .0028866     2.91   0.004      .002726    .0140458
                c30men |  -1.233175   1.627342    -0.76   0.449    -4.424013    1.957664
              c30black |  -.3939989   .2792209    -1.41   0.158    -.9414862    .1534883
                c30jap |  -.1419671   3.926923    -0.04   0.971     -7.84175    7.557816
                c30deu |    .675883    .609562     1.11   0.268    -.5193264    1.871092
                c30ita |   -1.53063   1.046653    -1.46   0.144    -3.582873    .5216122
                c30vet |   1.534029   .7255805     2.11   0.035     .1113346    2.956724
              lc40wage |   .0066349   .1403522     0.05   0.962    -.2685631     .281833
         iwarconpro_PC |  -.0173141   .0282762    -0.61   0.540    -.0727572    .0381291
         _Istateicps_2 |  -1.440944   .3520658    -4.09   0.000    -2.131263   -.7506243
         _Istateicps_3 |  -.0456874   .1276923    -0.36   0.721    -.2960623    .2046874
         _Istateicps_4 |  -1.414451   .1631454    -8.67   0.000    -1.734341   -1.094561
         _Istateicps_5 |  -.2866134   .1126193    -2.54   0.011    -.5074336   -.0657932
         _Istateicps_6 |   -1.07079   .1991666    -5.38   0.000     -1.46131   -.6802709
        _Istateicps_11 |  -.4466181   .3435743    -1.30   0.194    -1.120287    .2270512
        _Istateicps_12 |   -.260508   .1748098    -1.49   0.136    -.6032694    .0822534
        _Istateicps_13 |  -1.158241   .1851434    -6.26   0.000    -1.521264   -.7952178
        _Istateicps_14 |  -1.141405   .1566604    -7.29   0.000     -1.44858   -.8342306
        _Istateicps_21 |  -.1316709   .2665246    -0.49   0.621    -.6542637    .3909219
        _Istateicps_22 |  -.3832136   .2556287    -1.50   0.134    -.8844422     .118015
        _Istateicps_23 |  -.7889296   .2377301    -3.32   0.001    -1.255063   -.3227961
        _Istateicps_24 |  -.6661001   .2262596    -2.94   0.003    -1.109742   -.2224577
        _Istateicps_25 |  -.4685849   .2434214    -1.92   0.054    -.9458778    .0087079
        _Istateicps_31 |   .1128468   .2335235     0.48   0.629    -.3450385    .5707321
        _Istateicps_32 |   .2309844   .3129614     0.74   0.461    -.3826602     .844629
        _Istateicps_33 |  -.2265878   .3101199    -0.73   0.465    -.8346609    .3814854
        _Istateicps_34 |  -.6341116    .251391    -2.52   0.012    -1.127031   -.1411924
        _Istateicps_35 |   .1372692   .3092194     0.44   0.657    -.4690382    .7435766
        _Istateicps_36 |   1.089807   .2669006     4.08   0.000     .5664773    1.613137
        _Istateicps_37 |    .469357   .2866226     1.64   0.102    -.0926434    1.031357
        _Istateicps_40 |  -1.098712   .1949058    -5.64   0.000    -1.480877   -.7165473
        _Istateicps_41 |   -.381225   .2020903    -1.89   0.059    -.7774771    .0150272
        _Istateicps_42 |  -1.036312   .2372274    -4.37   0.000     -1.50146   -.5711644
        _Istateicps_43 |  -.6815334   .2743313    -2.48   0.013    -1.219433   -.1436336
        _Istateicps_44 |  -.1667558    .219745    -0.76   0.448    -.5976248    .2641131
        _Istateicps_45 |  -.2559579   .3026461    -0.85   0.398    -.8493765    .3374607
        _Istateicps_46 |  -.9634305   .2624754    -3.67   0.000    -1.478084   -.4487772
        _Istateicps_47 |  -.6288863   .2298983    -2.74   0.006    -1.079663   -.1781092
        _Istateicps_48 |  -.7014129   .2520997    -2.78   0.005    -1.195722    -.207104
        _Istateicps_49 |   .0766933   .2966001     0.26   0.796    -.5048705    .6582572
        _Istateicps_51 |  -1.006121   .3611646    -2.79   0.005     -1.71428   -.2979608
        _Istateicps_52 |  -.3479287   .1996594    -1.74   0.082    -.7394144    .0435569
        _Istateicps_53 |  -.3020316    .275489    -1.10   0.273    -.8422015    .2381383
        _Istateicps_54 |  -1.031227   .2242574    -4.60   0.000    -1.470944   -.5915107
        _Istateicps_56 |  -1.383844   .2239164    -6.18   0.000    -1.822892    -.944796
        _Istateicps_61 |  -.8033349   .4118582    -1.95   0.051    -1.610893    .0042235
        _Istateicps_62 |  -.8096346   .2984745    -2.71   0.007    -1.394874   -.2243954
        _Istateicps_63 |  -.3792308   .3260897    -1.16   0.245    -1.018617    .2601554
        _Istateicps_64 |   .1055257   .3919821     0.27   0.788    -.6630602    .8741116
        _Istateicps_65 |  -.4697071   .4073077    -1.15   0.249    -1.268343    .3289285
        _Istateicps_66 |  -.2615185   .3771216    -0.69   0.488    -1.000966    .4779294
        _Istateicps_67 |  -.4126481   .2955189    -1.40   0.163     -.992092    .1667957
        _Istateicps_68 |   .3190053   .3215299     0.99   0.321    -.3114401    .9494506
        _Istateicps_71 |   .4137528   .2404417     1.72   0.085    -.0576975    .8852031
        _Istateicps_72 |   -.382731   .3179815    -1.20   0.229    -1.006219    .2407569
        _Istateicps_73 |  -.3266895   .3303108    -0.99   0.323    -.9743522    .3209733
        _Istateicps_98 |          0  (omitted)
                 _cons |   7.260976   1.553048     4.68   0.000     4.215811    10.30614
----------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   338) =    17.35
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   338) =    17.35
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   338)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   338)
iAGRI_PF     |      17.35    0.0000 |       35.59   0.0000 |       17.35

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=18.52    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     124.26
Kleibergen-Paap Wald rk F statistic                                17.35

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,338)=      16.89     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     34.64     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        339
Number of observations               N  =       3020
Number of regressors                 K  =         66
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         67
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3020
                                                      F( 65,   338) =   124.28
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1358.865902                Centered R2   =   0.6425
Total (uncentered) SS   =  66925.57482                Uncentered R2 =   0.9927
Residual SS             =  485.8479177                Root MSE      =    .4011

----------------------------------------------------------------------------------------
                       |               Robust
      iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |    .352544   .0546312     6.45   0.000     .2454689    .4596191
tye_tfe890_500k_100_l6 |   .0100535   .0118696     0.85   0.397    -.0132105    .0333175
            ww1_vol_sh |   -.006851     .04293    -0.16   0.873    -.0909922    .0772903
   ww1_awards_pop10_is |   .1710592   .0850232     2.01   0.044     .0044169    .3377015
                lpop30 |  -.0072904   .0219171    -0.33   0.739    -.0502471    .0356664
              c30unemp |  -.1193639   .3096342    -0.39   0.700    -.7262358     .487508
             c30urban1 |   .0211334   .0237322     0.89   0.373    -.0253808    .0676476
               c30farm |  -.5424338   .1232498    -4.40   0.000    -.7839989   -.3008686
               iYf_T29 |    .007746   .0300183     0.26   0.796    -.0510889    .0665809
              MEAN9628 |  -.0000687   .0012158    -0.06   0.955    -.0024517    .0023143
                c30men |  -1.465525   .8535932    -1.72   0.086    -3.138537    .2074871
              c30black |  -.1973185    .116752    -1.69   0.091    -.4261481    .0315112
                c30jap |   4.859037   2.541714     1.91   0.056    -.1226319    9.840706
                c30deu |   .4611291   .2378937     1.94   0.053    -.0051341    .9273922
                c30ita |   .3473903   .5831046     0.60   0.551    -.7954738    1.490254
                c30vet |   .6572375   .3882936     1.69   0.091    -.1038039    1.418279
              lc40wage |   .4347087   .0689315     6.31   0.000     .2996054    .5698119
         iwarconpro_PC |   .2818378    .026241    10.74   0.000     .2304064    .3332692
         _Istateicps_2 |    .263127   .1969456     1.34   0.182    -.1228793    .6491333
         _Istateicps_3 |  -.1562388   .0942749    -1.66   0.097    -.3410141    .0285366
         _Istateicps_4 |   .2838661   .1204271     2.36   0.018     .0478332     .519899
         _Istateicps_5 |   -.270212   .0586541    -4.61   0.000    -.3851719   -.1552521
         _Istateicps_6 |   .2656874   .1506729     1.76   0.078    -.0296261    .5610009
        _Istateicps_11 |    .420374   .1519679     2.77   0.006     .1225223    .7182256
        _Istateicps_12 |  -.0177348   .0752658    -0.24   0.814     -.165253    .1297834
        _Istateicps_13 |   .2434923   .0931667     2.61   0.009      .060889    .4260956
        _Istateicps_14 |   .3352685   .0933866     3.59   0.000     .1522342    .5183029
        _Istateicps_21 |   .0138292   .1030275     0.13   0.893    -.1881009    .2157594
        _Istateicps_22 |   .0034623   .0940059     0.04   0.971    -.1807859    .1877105
        _Istateicps_23 |   .0659461   .0906129     0.73   0.467    -.1116518    .2435441
        _Istateicps_24 |   .0391011   .0853572     0.46   0.647    -.1281961    .2063982
        _Istateicps_25 |    .026187   .1016002     0.26   0.797    -.1729457    .2253196
        _Istateicps_31 |   .3657427   .1104772     3.31   0.001     .1492114    .5822739
        _Istateicps_32 |   .1525505   .1161701     1.31   0.189    -.0751388    .3802398
        _Istateicps_33 |   .2670539   .1108193     2.41   0.016      .049852    .4842557
        _Istateicps_34 |   .0473676   .0905177     0.52   0.601    -.1300439     .224779
        _Istateicps_35 |   .3097555   .1115938     2.78   0.006     .0910357    .5284753
        _Istateicps_36 |   .2277225    .180928     1.26   0.208    -.1268898    .5823349
        _Istateicps_37 |   .1591483    .130039     1.22   0.221    -.0957235    .4140201
        _Istateicps_40 |   .3115972   .1203057     2.59   0.010     .0758024    .5473919
        _Istateicps_41 |   .0991928   .0990037     1.00   0.316    -.0948509    .2932364
        _Istateicps_42 |   -.263787   .1066188    -2.47   0.013    -.4727561   -.0548179
        _Istateicps_43 |   .1447606   .0957744     1.51   0.131    -.0429538     .332475
        _Istateicps_44 |  -.1231276   .0971153    -1.27   0.205    -.3134701    .0672149
        _Istateicps_45 |  -.1881315   .1043403    -1.80   0.071    -.3926348    .0163718
        _Istateicps_46 |   .1245901   .1136769     1.10   0.273    -.0982125    .3473927
        _Istateicps_47 |   .0297338   .1214431     0.24   0.807    -.2082903    .2677578
        _Istateicps_48 |  -.3180126   .1179473    -2.70   0.007     -.549185   -.0868402
        _Istateicps_49 |  -.0150316   .1125511    -0.13   0.894    -.2356278    .2055645
        _Istateicps_51 |  -.1385931   .0995164    -1.39   0.164    -.3336417    .0564554
        _Istateicps_52 |    .001368   .1131699     0.01   0.990    -.2204409     .223177
        _Istateicps_53 |   .0204158   .1010874     0.20   0.840    -.1777118    .2185435
        _Istateicps_54 |   .0038062   .1003435     0.04   0.970    -.1928635    .2004758
        _Istateicps_56 |    .219281   .1293645     1.70   0.090    -.0342687    .4728307
        _Istateicps_61 |   .1180161   .1441654     0.82   0.413    -.1645429    .4005751
        _Istateicps_62 |   .0743962   .0849617     0.88   0.381    -.0921257     .240918
        _Istateicps_63 |   .0765267    .126022     0.61   0.544    -.1704719    .3235253
        _Istateicps_64 |   .4084018    .121847     3.35   0.001     .1695861    .6472175
        _Istateicps_65 |   .1478665   .1811789     0.82   0.414    -.2072376    .5029707
        _Istateicps_66 |  -.2366595   .1424227    -1.66   0.097    -.5158027    .0424838
        _Istateicps_67 |  -.0992419   .0962897    -1.03   0.303    -.2879663    .0894825
        _Istateicps_68 |   .0919876   .1316447     0.70   0.485    -.1660312    .3500064
        _Istateicps_71 |  -.0066489   .1338846    -0.05   0.960    -.2690579    .2557601
        _Istateicps_72 |   .5008146   .1015833     4.93   0.000     .3017151    .6999142
        _Istateicps_73 |   .4393313   .1218594     3.61   0.000     .2004913    .6781713
        _Istateicps_98 |          0  (omitted)
                 _cons |   .3325913   .8737943     0.38   0.703    -1.380014    2.045197
----------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.515
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              124.260
                         (Kleibergen-Paap rk Wald F statistic):         17.353
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: tye_tfe890_500k_100_l6 ww1_vol_sh ww1_awards_pop10_is
                      lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men
                      c30black c30jap c30deu c30ita c30vet lc40wage
                      iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4
                      _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12
                      _Istateicps_13 _Istateicps_14 _Istateicps_21
                      _Istateicps_22 _Istateicps_23 _Istateicps_24
                      _Istateicps_25 _Istateicps_31 _Istateicps_32
                      _Istateicps_33 _Istateicps_34 _Istateicps_35
                      _Istateicps_36 _Istateicps_37 _Istateicps_40
                      _Istateicps_41 _Istateicps_42 _Istateicps_43
                      _Istateicps_44 _Istateicps_45 _Istateicps_46
                      _Istateicps_47 _Istateicps_48 _Istateicps_49
                      _Istateicps_51 _Istateicps_52 _Istateicps_53
                      _Istateicps_54 _Istateicps_56 _Istateicps_61
                      _Istateicps_62 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_68 _Istateicps_71 _Istateicps_72
                      _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est5 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  iwarbond_1944_PC   if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.659"

. eststo: xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) tye_tfe890_500k_100_l6 $control if sample_ols == 1  & servi
> cecommand   != 7, cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
----------------------------------------------------------------------------------------
                       |               Robust
              iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   iSUM3MO_DROUGHT3340 |   .3041647   .0596561     5.10   0.000     .1871786    .4211508
             iAGRI_T73 |   .1759636   .0972343     1.81   0.070    -.0147138     .366641
tye_tfe890_500k_100_l6 |  -.1094857   .0231208    -4.74   0.000    -.1548258   -.0641457
            ww1_vol_sh |   .0729328    .093373     0.78   0.435    -.1101725    .2560381
   ww1_awards_pop10_is |  -.0102553   .1749545    -0.06   0.953    -.3533428    .3328322
                lpop30 |  -.1871351   .0428318    -4.37   0.000    -.2711287   -.1031416
              c30unemp |  -1.105071   .6487794    -1.70   0.089    -2.377334    .1671912
             c30urban1 |   .1629359   .0448363     3.63   0.000     .0750116    .2508603
               c30farm |   .1534978   .2991402     0.51   0.608    -.4331189    .7401144
               iYf_T29 |   .3112841   .0821939     3.79   0.000     .1501012     .472467
              MEAN9628 |   .0102823   .0031048     3.31   0.001     .0041939    .0163708
                c30men |  -.5007227   1.835759    -0.27   0.785    -4.100664    3.099218
              c30black |  -.4546617   .2799785    -1.62   0.105    -1.003702    .0943787
                c30jap |  -4.587126   4.470342    -1.03   0.305    -13.35351    4.179254
                c30deu |   .7034199   1.046834     0.67   0.502    -1.349432    2.756271
                c30ita |  -1.797061   1.134727    -1.58   0.113     -4.02227    .4281478
                c30vet |   .8035176   .6657085     1.21   0.228    -.5019428    2.108978
              lc40wage |   .0324181   .1520463     0.21   0.831    -.2657462    .3305824
         iwarconpro_PC |  -.0013124   .0323945    -0.04   0.968    -.0648384    .0622136
         _Istateicps_2 |  -1.417785   .3646001    -3.89   0.000    -2.132769   -.7028008
         _Istateicps_3 |   -.041076   .1304051    -0.31   0.753    -.2968016    .2146495
         _Istateicps_4 |  -1.383638    .173877    -7.96   0.000    -1.724612   -1.042663
         _Istateicps_5 |  -.3167921   .1122168    -2.82   0.005    -.5368503    -.096734
         _Istateicps_6 |  -1.027081   .2033805    -5.05   0.000    -1.425912   -.6282499
        _Istateicps_11 |  -.4425034   .3379778    -1.31   0.191    -1.105281    .2202741
        _Istateicps_12 |  -.2994455   .1810876    -1.65   0.098      -.65456     .055669
        _Istateicps_13 |  -1.144386   .1880669    -6.08   0.000    -1.513187   -.7755852
        _Istateicps_14 |  -1.139378   .1595007    -7.14   0.000    -1.452161   -.8265958
        _Istateicps_21 |  -.1265286   .2770054    -0.46   0.648    -.6697386    .4166815
        _Istateicps_22 |  -.3988793   .2601646    -1.53   0.125    -.9090645    .1113058
        _Istateicps_23 |   -.783594   .2518596    -3.11   0.002    -1.277493   -.2896951
        _Istateicps_24 |  -.6821167     .23048    -2.96   0.003     -1.13409   -.2301433
        _Istateicps_25 |  -.4406843   .2821368    -1.56   0.118    -.9939571    .1125885
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -1.034003   .2019297    -5.12   0.000    -1.429989   -.6380168
        _Istateicps_41 |  -.2734883   .2115283    -1.29   0.196    -.6882973    .1413207
        _Istateicps_42 |  -.9448232   .2437318    -3.88   0.000    -1.422783   -.4668629
        _Istateicps_43 |  -.7077634   .2681096    -2.64   0.008    -1.233529   -.1819981
        _Istateicps_44 |   -.085268   .2282112    -0.37   0.709    -.5327923    .3622562
        _Istateicps_45 |  -.2293262   .3136457    -0.73   0.465    -.8443882    .3857358
        _Istateicps_46 |  -.8848253   .2678045    -3.30   0.001    -1.409992   -.3596583
        _Istateicps_47 |  -.5401816   .2333176    -2.32   0.021    -.9977196   -.0826435
        _Istateicps_48 |  -.6121968   .2501537    -2.45   0.014     -1.10275   -.1216432
        _Istateicps_49 |   .1579925   .3110473     0.51   0.612    -.4519742    .7679592
        _Istateicps_51 |  -.9379633   .3494231    -2.68   0.007    -1.623185   -.2527414
        _Istateicps_52 |  -.3227776    .202925    -1.59   0.112    -.7207153    .0751601
        _Istateicps_53 |  -.2324374   .2873835    -0.81   0.419    -.7959991    .3311243
        _Istateicps_54 |  -.9193529   .2296945    -4.00   0.000    -1.369786   -.4689199
        _Istateicps_56 |  -1.333911   .2321018    -5.75   0.000    -1.789065   -.8787575
        _Istateicps_61 |  -.7778209   .4159503    -1.87   0.062    -1.593503    .0378615
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.3832682   .3495406    -1.10   0.273    -1.068721    .3021842
        _Istateicps_64 |   .1645455   .4314771     0.38   0.703     -.681585    1.010676
        _Istateicps_65 |  -.5616044   .4369024    -1.29   0.199    -1.418374    .2951652
        _Istateicps_66 |  -.1773342    .392242    -0.45   0.651    -.9465245     .591856
        _Istateicps_67 |  -.4230816    .311872    -1.36   0.175    -1.034665    .1885022
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .4756034   .2581813     1.84   0.066    -.0306924    .9818992
        _Istateicps_72 |  -.3313575   .3499125    -0.95   0.344    -1.017539    .3548241
        _Istateicps_73 |  -.3093668   .3421319    -0.90   0.366    -.9802907     .361557
        _Istateicps_98 |          0  (omitted)
                 _cons |   6.867329   1.761905     3.90   0.000     3.412216    10.32244
----------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      13.76    0.0000 |       28.32   0.0000 |       13.76

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=20.74    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      88.21
Kleibergen-Paap Wald rk F statistic                                13.76

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       4.81     P-val=0.0089
Anderson-Rubin Wald test           Chi-sq(2)=      9.90     P-val=0.0071
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   287.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5235
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8927
Residual SS             =  129.5773532                Root MSE      =    .2359

----------------------------------------------------------------------------------------
                       |               Robust
         ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .1875247    .058024     3.23   0.001     .0737996    .3012497
tye_tfe890_500k_100_l6 |   .0202908   .0085272     2.38   0.017     .0035777    .0370039
            ww1_vol_sh |   .1021814   .0345372     2.96   0.003     .0344897     .169873
   ww1_awards_pop10_is |     .11453   .0917447     1.25   0.212    -.0652862    .2943462
                lpop30 |   .0187809   .0195876     0.96   0.338      -.01961    .0571719
              c30unemp |   .7433426   .2849131     2.61   0.009     .1849233    1.301762
             c30urban1 |  -.0206586   .0176948    -1.17   0.243    -.0553398    .0140225
               c30farm |  -.1483759    .075747    -1.96   0.050    -.2968373    .0000854
               iYf_T29 |  -.0716586    .026536    -2.70   0.007    -.1236682    -.019649
              MEAN9628 |  -.0023767   .0010333    -2.30   0.021    -.0044019   -.0003515
                c30men |  -1.230184   .6045265    -2.03   0.042    -2.415034   -.0453335
              c30black |  -.3535058   .0664461    -5.32   0.000    -.4837378   -.2232737
                c30jap |   .9322205   1.583613     0.59   0.556    -2.171604    4.036045
                c30deu |  -.8503477    .187392    -4.54   0.000    -1.217629   -.4830661
                c30ita |  -.0360256   .3091179    -0.12   0.907    -.6418856    .5698344
                c30vet |   .9307076   .2796628     3.33   0.001     .3825785    1.478837
              lc40wage |   .1892405   .0445691     4.25   0.000     .1018867    .2765942
         iwarconpro_PC |  -.0343705   .0104574    -3.29   0.001    -.0548665   -.0138744
         _Istateicps_2 |   .2044051   .1123002     1.82   0.069    -.0156992    .4245094
         _Istateicps_3 |   .0293172   .0789322     0.37   0.710     -.125387    .1840215
         _Istateicps_4 |   .4291181   .1056977     4.06   0.000     .2219544    .6362819
         _Istateicps_5 |   .0416344    .071395     0.58   0.560    -.0982973     .181566
         _Istateicps_6 |    .454918   .1010891     4.50   0.000     .2567871    .6530489
        _Istateicps_11 |  -.1019834   .1092962    -0.93   0.351       -.3162    .1122332
        _Istateicps_12 |  -.0494854   .0966041    -0.51   0.608    -.2388259    .1398551
        _Istateicps_13 |    .166825   .0967925     1.72   0.085    -.0228849    .3565349
        _Istateicps_14 |  -.0580325   .0942105    -0.62   0.538    -.2426818    .1266167
        _Istateicps_21 |  -.0711213   .0860756    -0.83   0.409    -.2398264    .0975838
        _Istateicps_22 |    -.13542   .0891858    -1.52   0.129     -.310221    .0393809
        _Istateicps_23 |  -.0211531   .0962385    -0.22   0.826    -.2097772     .167471
        _Istateicps_24 |  -.0948056   .0823739    -1.15   0.250    -.2562555    .0666443
        _Istateicps_25 |   .1498933   .0948335     1.58   0.114     -.035977    .3357636
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |   .0217978   .1004365     0.22   0.828    -.1750541    .2186497
        _Istateicps_41 |   .1414392   .0938585     1.51   0.132    -.0425201    .3253985
        _Istateicps_42 |  -.1767131   .0835872    -2.11   0.035     -.340541   -.0128852
        _Istateicps_43 |   .3207257   .1037263     3.09   0.002     .1174259    .5240254
        _Istateicps_44 |   .1770017   .0863912     2.05   0.040     .0076781    .3463254
        _Istateicps_45 |  -.1588372   .0973264    -1.63   0.103    -.3495935    .0319191
        _Istateicps_46 |   .2450126   .0955623     2.56   0.010      .057714    .4323112
        _Istateicps_47 |   .0649125   .0939194     0.69   0.489    -.1191662    .2489912
        _Istateicps_48 |   .1253335   .0960341     1.31   0.192    -.0628898    .3135569
        _Istateicps_49 |   .4333794   .0969338     4.47   0.000     .2433926    .6233662
        _Istateicps_51 |   .1259314   .1227141     1.03   0.305    -.1145838    .3664467
        _Istateicps_52 |  -.2417475   .0888148    -2.72   0.006    -.4158214   -.0676737
        _Istateicps_53 |   .0667427   .1008285     0.66   0.508    -.1308774    .2643629
        _Istateicps_54 |   .0583565   .1063641     0.55   0.583    -.1501134    .2668264
        _Istateicps_56 |   .2879475   .1171078     2.46   0.014     .0584204    .5174746
        _Istateicps_61 |    -.43989   .1012888    -4.34   0.000    -.6384125   -.2413676
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.1160051   .0997748    -1.16   0.245    -.3115601      .07955
        _Istateicps_64 |   .0361037   .1181275     0.31   0.760    -.1954219    .2676293
        _Istateicps_65 |  -.1573335   .1068633    -1.47   0.141    -.3667817    .0521148
        _Istateicps_66 |   .0358826   .0940155     0.38   0.703    -.1483844    .2201497
        _Istateicps_67 |  -.2411494   .0900374    -2.68   0.007    -.4176195   -.0646793
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |  -.1208955   .1101905    -1.10   0.273    -.3368649    .0950738
        _Istateicps_72 |  -.2079654   .0996834    -2.09   0.037    -.4033413   -.0125894
        _Istateicps_73 |    .041505   .0947827     0.44   0.661    -.1442657    .2272757
        _Istateicps_98 |          0  (omitted)
                 _cons |  -1.112285   .7527469    -1.48   0.140    -2.587641     .363072
----------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             20.737
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               88.212
                         (Kleibergen-Paap rk Wald F statistic):         13.764
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: tye_tfe890_500k_100_l6 ww1_vol_sh ww1_awards_pop10_is
                      lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men
                      c30black c30jap c30deu c30ita c30vet lc40wage
                      iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4
                      _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12
                      _Istateicps_13 _Istateicps_14 _Istateicps_21
                      _Istateicps_22 _Istateicps_23 _Istateicps_24
                      _Istateicps_25 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_63
                      _Istateicps_64 _Istateicps_65 _Istateicps_66
                      _Istateicps_67 _Istateicps_71 _Istateicps_72
                      _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.009"

.                 qui:   sum  ww2_vol_pop40      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) tye_tfe890_500k_100_l6 $control if sample_ols == 1 & servic
> ecommand   != 7 , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
----------------------------------------------------------------------------------------
                       |               Robust
              iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   iSUM3MO_DROUGHT3340 |   .3041647   .0596561     5.10   0.000     .1871786    .4211508
             iAGRI_T73 |   .1759636   .0972343     1.81   0.070    -.0147138     .366641
tye_tfe890_500k_100_l6 |  -.1094857   .0231208    -4.74   0.000    -.1548258   -.0641457
            ww1_vol_sh |   .0729328    .093373     0.78   0.435    -.1101725    .2560381
   ww1_awards_pop10_is |  -.0102553   .1749545    -0.06   0.953    -.3533428    .3328322
                lpop30 |  -.1871351   .0428318    -4.37   0.000    -.2711287   -.1031416
              c30unemp |  -1.105071   .6487794    -1.70   0.089    -2.377334    .1671912
             c30urban1 |   .1629359   .0448363     3.63   0.000     .0750116    .2508603
               c30farm |   .1534978   .2991402     0.51   0.608    -.4331189    .7401144
               iYf_T29 |   .3112841   .0821939     3.79   0.000     .1501012     .472467
              MEAN9628 |   .0102823   .0031048     3.31   0.001     .0041939    .0163708
                c30men |  -.5007227   1.835759    -0.27   0.785    -4.100664    3.099218
              c30black |  -.4546617   .2799785    -1.62   0.105    -1.003702    .0943787
                c30jap |  -4.587126   4.470342    -1.03   0.305    -13.35351    4.179254
                c30deu |   .7034199   1.046834     0.67   0.502    -1.349432    2.756271
                c30ita |  -1.797061   1.134727    -1.58   0.113     -4.02227    .4281478
                c30vet |   .8035176   .6657085     1.21   0.228    -.5019428    2.108978
              lc40wage |   .0324181   .1520463     0.21   0.831    -.2657462    .3305824
         iwarconpro_PC |  -.0013124   .0323945    -0.04   0.968    -.0648384    .0622136
         _Istateicps_2 |  -1.417785   .3646001    -3.89   0.000    -2.132769   -.7028008
         _Istateicps_3 |   -.041076   .1304051    -0.31   0.753    -.2968016    .2146495
         _Istateicps_4 |  -1.383638    .173877    -7.96   0.000    -1.724612   -1.042663
         _Istateicps_5 |  -.3167921   .1122168    -2.82   0.005    -.5368503    -.096734
         _Istateicps_6 |  -1.027081   .2033805    -5.05   0.000    -1.425912   -.6282499
        _Istateicps_11 |  -.4425034   .3379778    -1.31   0.191    -1.105281    .2202741
        _Istateicps_12 |  -.2994455   .1810876    -1.65   0.098      -.65456     .055669
        _Istateicps_13 |  -1.144386   .1880669    -6.08   0.000    -1.513187   -.7755852
        _Istateicps_14 |  -1.139378   .1595007    -7.14   0.000    -1.452161   -.8265958
        _Istateicps_21 |  -.1265286   .2770054    -0.46   0.648    -.6697386    .4166815
        _Istateicps_22 |  -.3988793   .2601646    -1.53   0.125    -.9090645    .1113058
        _Istateicps_23 |   -.783594   .2518596    -3.11   0.002    -1.277493   -.2896951
        _Istateicps_24 |  -.6821167     .23048    -2.96   0.003     -1.13409   -.2301433
        _Istateicps_25 |  -.4406843   .2821368    -1.56   0.118    -.9939571    .1125885
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -1.034003   .2019297    -5.12   0.000    -1.429989   -.6380168
        _Istateicps_41 |  -.2734883   .2115283    -1.29   0.196    -.6882973    .1413207
        _Istateicps_42 |  -.9448232   .2437318    -3.88   0.000    -1.422783   -.4668629
        _Istateicps_43 |  -.7077634   .2681096    -2.64   0.008    -1.233529   -.1819981
        _Istateicps_44 |   -.085268   .2282112    -0.37   0.709    -.5327923    .3622562
        _Istateicps_45 |  -.2293262   .3136457    -0.73   0.465    -.8443882    .3857358
        _Istateicps_46 |  -.8848253   .2678045    -3.30   0.001    -1.409992   -.3596583
        _Istateicps_47 |  -.5401816   .2333176    -2.32   0.021    -.9977196   -.0826435
        _Istateicps_48 |  -.6121968   .2501537    -2.45   0.014     -1.10275   -.1216432
        _Istateicps_49 |   .1579925   .3110473     0.51   0.612    -.4519742    .7679592
        _Istateicps_51 |  -.9379633   .3494231    -2.68   0.007    -1.623185   -.2527414
        _Istateicps_52 |  -.3227776    .202925    -1.59   0.112    -.7207153    .0751601
        _Istateicps_53 |  -.2324374   .2873835    -0.81   0.419    -.7959991    .3311243
        _Istateicps_54 |  -.9193529   .2296945    -4.00   0.000    -1.369786   -.4689199
        _Istateicps_56 |  -1.333911   .2321018    -5.75   0.000    -1.789065   -.8787575
        _Istateicps_61 |  -.7778209   .4159503    -1.87   0.062    -1.593503    .0378615
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.3832682   .3495406    -1.10   0.273    -1.068721    .3021842
        _Istateicps_64 |   .1645455   .4314771     0.38   0.703     -.681585    1.010676
        _Istateicps_65 |  -.5616044   .4369024    -1.29   0.199    -1.418374    .2951652
        _Istateicps_66 |  -.1773342    .392242    -0.45   0.651    -.9465245     .591856
        _Istateicps_67 |  -.4230816    .311872    -1.36   0.175    -1.034665    .1885022
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .4756034   .2581813     1.84   0.066    -.0306924    .9818992
        _Istateicps_72 |  -.3313575   .3499125    -0.95   0.344    -1.017539    .3548241
        _Istateicps_73 |  -.3093668   .3421319    -0.90   0.366    -.9802907     .361557
        _Istateicps_98 |          0  (omitted)
                 _cons |   6.867329   1.761905     3.90   0.000     3.412216    10.32244
----------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      13.76    0.0000 |       28.32   0.0000 |       13.76

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=20.74    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      88.21
Kleibergen-Paap Wald rk F statistic                                13.76

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       9.17     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     18.86     P-val=0.0001
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   392.05
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1421
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6115
Residual SS             =  32.53691045                Root MSE      =    .1182

----------------------------------------------------------------------------------------
                       |               Robust
   ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .0516622   .0126918     4.07   0.000     .0267868    .0765376
tye_tfe890_500k_100_l6 |   .0068058   .0024702     2.76   0.006     .0019643    .0116473
            ww1_vol_sh |   .0541617   .0202942     2.67   0.008     .0143858    .0939376
   ww1_awards_pop10_is |   .0332205   .0400896     0.83   0.407    -.0453537    .1117946
                lpop30 |  -.0095429   .0136145    -0.70   0.483    -.0362269    .0171411
              c30unemp |    .187046   .1611765     1.16   0.246    -.1288541    .5029461
             c30urban1 |  -.0013238   .0069084    -0.19   0.848     -.014864    .0122165
               c30farm |   .0114363   .0287652     0.40   0.691    -.0449425     .067815
               iYf_T29 |   .0023248   .0111632     0.21   0.835    -.0195546    .0242042
              MEAN9628 |  -.0005732   .0003986    -1.44   0.150    -.0013543     .000208
                c30men |  -.5345791   .2194123    -2.44   0.015    -.9646193   -.1045389
              c30black |  -.0269638   .0247988    -1.09   0.277    -.0755686    .0216409
                c30jap |   .9410018   1.221519     0.77   0.441    -1.453131    3.335134
                c30deu |     .01965   .1281085     0.15   0.878    -.2314379     .270738
                c30ita |   .0435086   .1951667     0.22   0.824     -.339011    .4260283
                c30vet |   .2220526   .1131794     1.96   0.050     .0002252    .4438801
              lc40wage |   .0520753   .0217593     2.39   0.017     .0094279    .0947226
         iwarconpro_PC |   .0048196   .0046526     1.04   0.300    -.0042994    .0139386
         _Istateicps_2 |    .026357   .0299025     0.88   0.378    -.0322508    .0849647
         _Istateicps_3 |  -.0037133   .0168168    -0.22   0.825    -.0366736    .0292471
         _Istateicps_4 |   .0235386   .0297703     0.79   0.429    -.0348101    .0818873
         _Istateicps_5 |   .0701494   .0148375     4.73   0.000     .0410684    .0992304
         _Istateicps_6 |   .0153395   .0365991     0.42   0.675    -.0563934    .0870723
        _Istateicps_11 |   -.027391   .0182427    -1.50   0.133    -.0631461     .008364
        _Istateicps_12 |   -.026733   .0169798    -1.57   0.115    -.0600129    .0065468
        _Istateicps_13 |   .0249474   .0228452     1.09   0.275    -.0198283    .0697232
        _Istateicps_14 |     .00332   .0231114     0.14   0.886    -.0419775    .0486174
        _Istateicps_21 |  -.0689684   .0335364    -2.06   0.040    -.1346985   -.0032382
        _Istateicps_22 |  -.0838491   .0300182    -2.79   0.005    -.1426837   -.0250146
        _Istateicps_23 |   -.035941   .0336734    -1.07   0.286    -.1019396    .0300576
        _Istateicps_24 |  -.0265148   .0270769    -0.98   0.327    -.0795845     .026555
        _Istateicps_25 |  -.0875446   .0437526    -2.00   0.045    -.1732981    -.001791
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |    .020318   .0260071     0.78   0.435    -.0306549    .0712909
        _Istateicps_41 |  -.0186462   .0218822    -0.85   0.394    -.0615346    .0242421
        _Istateicps_42 |  -.0296853   .0213406    -1.39   0.164    -.0715121    .0121416
        _Istateicps_43 |   .0323795    .030954     1.05   0.296    -.0282891    .0930482
        _Istateicps_44 |  -.0414989   .0252966    -1.64   0.101    -.0910793    .0080815
        _Istateicps_45 |  -.0298706   .0277094    -1.08   0.281    -.0841801    .0244389
        _Istateicps_46 |   .0217398   .0247142     0.88   0.379    -.0266992    .0701788
        _Istateicps_47 |  -.0203666   .0217086    -0.94   0.348    -.0629147    .0221815
        _Istateicps_48 |  -.0102295   .0235929    -0.43   0.665    -.0564707    .0360116
        _Istateicps_49 |  -.0228152   .0274451    -0.83   0.406    -.0766066    .0309761
        _Istateicps_51 |  -.0125424   .0251047    -0.50   0.617    -.0617467    .0366618
        _Istateicps_52 |  -.0153502   .0315983    -0.49   0.627    -.0772818    .0465814
        _Istateicps_53 |  -.0364483    .024638    -1.48   0.139     -.084738    .0118413
        _Istateicps_54 |  -.0101763   .0227109    -0.45   0.654    -.0546888    .0343363
        _Istateicps_56 |   .0279464   .0258859     1.08   0.280    -.0227889    .0786818
        _Istateicps_61 |   .0420646   .0416257     1.01   0.312    -.0395203    .1236495
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.0079709   .0406527    -0.20   0.845    -.0876487     .071707
        _Istateicps_64 |     .08414   .0696967     1.21   0.227    -.0524629     .220743
        _Istateicps_65 |   .0088958   .0499461     0.18   0.859    -.0889967    .1067883
        _Istateicps_66 |  -.0206955   .0322981    -0.64   0.522    -.0839985    .0426076
        _Istateicps_67 |  -.0000496   .0361468    -0.00   0.999    -.0708961    .0707969
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .0311469   .0531622     0.59   0.558    -.0730491    .1353428
        _Istateicps_72 |  -.0291265   .0457547    -0.64   0.524     -.118804    .0605509
        _Istateicps_73 |   .0231169   .0340637     0.68   0.497    -.0436467    .0898805
        _Istateicps_98 |          0  (omitted)
                 _cons |  -.1872097   .2082993    -0.90   0.369    -.5954688    .2210494
----------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             20.737
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               88.212
                         (Kleibergen-Paap rk Wald F statistic):         13.764
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: tye_tfe890_500k_100_l6 ww1_vol_sh ww1_awards_pop10_is
                      lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men
                      c30black c30jap c30deu c30ita c30vet lc40wage
                      iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4
                      _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12
                      _Istateicps_13 _Istateicps_14 _Istateicps_21
                      _Istateicps_22 _Istateicps_23 _Istateicps_24
                      _Istateicps_25 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_63
                      _Istateicps_64 _Istateicps_65 _Istateicps_66
                      _Istateicps_67 _Istateicps_71 _Istateicps_72
                      _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est7 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) tye_tfe890_500k_100_l6 $control if sample_ols == 1 & servic
> ecommand   != 7 , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
----------------------------------------------------------------------------------------
                       |               Robust
              iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
   iSUM3MO_DROUGHT3340 |   .3041647   .0596561     5.10   0.000     .1871786    .4211508
             iAGRI_T73 |   .1759636   .0972343     1.81   0.070    -.0147138     .366641
tye_tfe890_500k_100_l6 |  -.1094857   .0231208    -4.74   0.000    -.1548258   -.0641457
            ww1_vol_sh |   .0729328    .093373     0.78   0.435    -.1101725    .2560381
   ww1_awards_pop10_is |  -.0102553   .1749545    -0.06   0.953    -.3533428    .3328322
                lpop30 |  -.1871351   .0428318    -4.37   0.000    -.2711287   -.1031416
              c30unemp |  -1.105071   .6487794    -1.70   0.089    -2.377334    .1671912
             c30urban1 |   .1629359   .0448363     3.63   0.000     .0750116    .2508603
               c30farm |   .1534978   .2991402     0.51   0.608    -.4331189    .7401144
               iYf_T29 |   .3112841   .0821939     3.79   0.000     .1501012     .472467
              MEAN9628 |   .0102823   .0031048     3.31   0.001     .0041939    .0163708
                c30men |  -.5007227   1.835759    -0.27   0.785    -4.100664    3.099218
              c30black |  -.4546617   .2799785    -1.62   0.105    -1.003702    .0943787
                c30jap |  -4.587126   4.470342    -1.03   0.305    -13.35351    4.179254
                c30deu |   .7034199   1.046834     0.67   0.502    -1.349432    2.756271
                c30ita |  -1.797061   1.134727    -1.58   0.113     -4.02227    .4281478
                c30vet |   .8035176   .6657085     1.21   0.228    -.5019428    2.108978
              lc40wage |   .0324181   .1520463     0.21   0.831    -.2657462    .3305824
         iwarconpro_PC |  -.0013124   .0323945    -0.04   0.968    -.0648384    .0622136
         _Istateicps_2 |  -1.417785   .3646001    -3.89   0.000    -2.132769   -.7028008
         _Istateicps_3 |   -.041076   .1304051    -0.31   0.753    -.2968016    .2146495
         _Istateicps_4 |  -1.383638    .173877    -7.96   0.000    -1.724612   -1.042663
         _Istateicps_5 |  -.3167921   .1122168    -2.82   0.005    -.5368503    -.096734
         _Istateicps_6 |  -1.027081   .2033805    -5.05   0.000    -1.425912   -.6282499
        _Istateicps_11 |  -.4425034   .3379778    -1.31   0.191    -1.105281    .2202741
        _Istateicps_12 |  -.2994455   .1810876    -1.65   0.098      -.65456     .055669
        _Istateicps_13 |  -1.144386   .1880669    -6.08   0.000    -1.513187   -.7755852
        _Istateicps_14 |  -1.139378   .1595007    -7.14   0.000    -1.452161   -.8265958
        _Istateicps_21 |  -.1265286   .2770054    -0.46   0.648    -.6697386    .4166815
        _Istateicps_22 |  -.3988793   .2601646    -1.53   0.125    -.9090645    .1113058
        _Istateicps_23 |   -.783594   .2518596    -3.11   0.002    -1.277493   -.2896951
        _Istateicps_24 |  -.6821167     .23048    -2.96   0.003     -1.13409   -.2301433
        _Istateicps_25 |  -.4406843   .2821368    -1.56   0.118    -.9939571    .1125885
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |  -1.034003   .2019297    -5.12   0.000    -1.429989   -.6380168
        _Istateicps_41 |  -.2734883   .2115283    -1.29   0.196    -.6882973    .1413207
        _Istateicps_42 |  -.9448232   .2437318    -3.88   0.000    -1.422783   -.4668629
        _Istateicps_43 |  -.7077634   .2681096    -2.64   0.008    -1.233529   -.1819981
        _Istateicps_44 |   -.085268   .2282112    -0.37   0.709    -.5327923    .3622562
        _Istateicps_45 |  -.2293262   .3136457    -0.73   0.465    -.8443882    .3857358
        _Istateicps_46 |  -.8848253   .2678045    -3.30   0.001    -1.409992   -.3596583
        _Istateicps_47 |  -.5401816   .2333176    -2.32   0.021    -.9977196   -.0826435
        _Istateicps_48 |  -.6121968   .2501537    -2.45   0.014     -1.10275   -.1216432
        _Istateicps_49 |   .1579925   .3110473     0.51   0.612    -.4519742    .7679592
        _Istateicps_51 |  -.9379633   .3494231    -2.68   0.007    -1.623185   -.2527414
        _Istateicps_52 |  -.3227776    .202925    -1.59   0.112    -.7207153    .0751601
        _Istateicps_53 |  -.2324374   .2873835    -0.81   0.419    -.7959991    .3311243
        _Istateicps_54 |  -.9193529   .2296945    -4.00   0.000    -1.369786   -.4689199
        _Istateicps_56 |  -1.333911   .2321018    -5.75   0.000    -1.789065   -.8787575
        _Istateicps_61 |  -.7778209   .4159503    -1.87   0.062    -1.593503    .0378615
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.3832682   .3495406    -1.10   0.273    -1.068721    .3021842
        _Istateicps_64 |   .1645455   .4314771     0.38   0.703     -.681585    1.010676
        _Istateicps_65 |  -.5616044   .4369024    -1.29   0.199    -1.418374    .2951652
        _Istateicps_66 |  -.1773342    .392242    -0.45   0.651    -.9465245     .591856
        _Istateicps_67 |  -.4230816    .311872    -1.36   0.175    -1.034665    .1885022
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |   .4756034   .2581813     1.84   0.066    -.0306924    .9818992
        _Istateicps_72 |  -.3313575   .3499125    -0.95   0.344    -1.017539    .3548241
        _Istateicps_73 |  -.3093668   .3421319    -0.90   0.366    -.9802907     .361557
        _Istateicps_98 |          0  (omitted)
                 _cons |   6.867329   1.761905     3.90   0.000     3.412216    10.32244
----------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    13.76
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      13.76    0.0000 |       28.32   0.0000 |       13.76

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=20.74    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      88.21
Kleibergen-Paap Wald rk F statistic                                13.76

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=      10.31     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     21.21     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   164.47
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5326
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5326
Residual SS             =  1719.119532                Root MSE      =    .8591

----------------------------------------------------------------------------------------
                       |               Robust
                   pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
              iAGRI_PF |   .8410269   .1487022     5.66   0.000      .549576    1.132478
tye_tfe890_500k_100_l6 |   .0761003   .0256126     2.97   0.003     .0259005    .1263002
            ww1_vol_sh |   .4200806   .1391043     3.02   0.003     .1474411    .6927201
   ww1_awards_pop10_is |   .5210376   .2800152     1.86   0.063    -.0277821    1.069857
                lpop30 |  -.0213149   .0814814    -0.26   0.794    -.1810155    .1383857
              c30unemp |   2.145188   1.120821     1.91   0.056    -.0515801    4.341956
             c30urban1 |   .0051278   .0622663     0.08   0.934    -.1169119    .1271675
               c30farm |  -.6819578   .2997199    -2.28   0.023    -1.269398   -.0945177
               iYf_T29 |  -.1150642    .090516    -1.27   0.204    -.2924722    .0623439
              MEAN9628 |  -.0058641   .0033863    -1.73   0.083    -.0125012    .0007729
                c30men |  -6.334946   1.826538    -3.47   0.001    -9.914895   -2.754998
              c30black |   -.862085   .2400759    -3.59   0.000    -1.332625    -.391545
                c30jap |   11.86026   6.319189     1.88   0.061    -.5251201    24.24564
                c30deu |  -.6252972   .7792866    -0.80   0.422    -2.152671    .9020765
                c30ita |   .2939788    1.41465     0.21   0.835    -2.478685    3.066643
                c30vet |   3.148387   .8922298     3.53   0.000     1.399649    4.897126
              lc40wage |   .9512628   .1699511     5.60   0.000     .6181647    1.284361
         iwarconpro_PC |    .230756    .046203     4.99   0.000     .1401997    .3213123
         _Istateicps_2 |   .6919971   .3536436     1.96   0.050    -.0011316    1.385126
         _Istateicps_3 |  -.0959367   .2363002    -0.41   0.685    -.5590767    .3672033
         _Istateicps_4 |   1.073179   .2957847     3.63   0.000     .4934511    1.652906
         _Istateicps_5 |   .1263047   .1942595     0.65   0.516    -.2544369    .5070464
         _Istateicps_6 |   1.100536   .3553277     3.10   0.002     .4041065    1.796965
        _Istateicps_11 |   .1041422   .3322639     0.31   0.754    -.5470831    .7553675
        _Istateicps_12 |  -.1975456   .2212557    -0.89   0.372    -.6311989    .2361076
        _Istateicps_13 |   .6084441    .272114     2.24   0.025     .0751104    1.141778
        _Istateicps_14 |   .2184122   .2575485     0.85   0.396    -.2863736    .7231981
        _Istateicps_21 |  -.3903723   .2824636    -1.38   0.167    -.9439907    .1632461
        _Istateicps_22 |  -.5755104   .2759635    -2.09   0.037    -1.116389    -.034632
        _Istateicps_23 |  -.1127935   .3012446    -0.37   0.708    -.7032221     .477635
        _Istateicps_24 |  -.2445227   .2547961    -0.96   0.337    -.7439138    .2548685
        _Istateicps_25 |   -.106203   .3176833    -0.33   0.738    -.7288509    .5164448
        _Istateicps_31 |          0  (omitted)
        _Istateicps_32 |          0  (omitted)
        _Istateicps_33 |          0  (omitted)
        _Istateicps_34 |          0  (omitted)
        _Istateicps_35 |          0  (omitted)
        _Istateicps_36 |          0  (omitted)
        _Istateicps_37 |          0  (omitted)
        _Istateicps_40 |   .4291639   .2869457     1.50   0.135    -.1332392    .9915671
        _Istateicps_41 |   .2714243   .2554568     1.06   0.288    -.2292617    .7721104
        _Istateicps_42 |  -.6243261   .2450231    -2.55   0.011    -1.104563   -.1440897
        _Istateicps_43 |   .8209923   .2760837     2.97   0.003     .2798783    1.362106
        _Istateicps_44 |   .0343733   .2611215     0.13   0.895    -.4774154    .5461619
        _Istateicps_45 |  -.5440526   .2990771    -1.82   0.069    -1.130233    .0421276
        _Istateicps_46 |   .6255648   .2778234     2.25   0.024     .0810409    1.170089
        _Istateicps_47 |   .0798494   .2936353     0.27   0.786    -.4956652     .655364
        _Istateicps_48 |  -.1105664   .2654475    -0.42   0.677     -.630834    .4097012
        _Istateicps_49 |   .6406144   .3079377     2.08   0.037     .0370676    1.244161
        _Istateicps_51 |   .0824409   .2989457     0.28   0.783     -.503482    .6683638
        _Istateicps_52 |   -.444537   .3037085    -1.46   0.143    -1.039795    .1507208
        _Istateicps_53 |   .0093516   .2784371     0.03   0.973    -.5363751    .5550783
        _Istateicps_54 |   .0990622   .2725457     0.36   0.716    -.4351175    .6332419
        _Istateicps_56 |   .8177179   .3337173     2.45   0.014      .163644    1.471792
        _Istateicps_61 |  -.4379943   .3583239    -1.22   0.222    -1.140296    .2643076
        _Istateicps_62 |          0  (omitted)
        _Istateicps_63 |  -.1232849   .3260165    -0.38   0.705    -.7622654    .5156956
        _Istateicps_64 |   .8106691   .4216147     1.92   0.055    -.0156805    1.637019
        _Istateicps_65 |  -.0580796    .370967    -0.16   0.876    -.7851616    .6690025
        _Istateicps_66 |  -.2180169   .2851559    -0.76   0.445    -.7769123    .3408784
        _Istateicps_67 |  -.4703398   .2889737    -1.63   0.104    -1.036718    .0960382
        _Istateicps_68 |          0  (omitted)
        _Istateicps_71 |  -.0690869   .3701237    -0.19   0.852    -.7945161    .6563422
        _Istateicps_72 |  -.0206256   .3506764    -0.06   0.953    -.7079388    .6666875
        _Istateicps_73 |   .5826298   .2857881     2.04   0.041     .0224955    1.142764
        _Istateicps_98 |          0  (omitted)
                 _cons |  -7.878741   2.212648    -3.56   0.000    -12.21545    -3.54203
----------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             20.737
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               88.212
                         (Kleibergen-Paap rk Wald F statistic):         13.764
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: tye_tfe890_500k_100_l6 ww1_vol_sh ww1_awards_pop10_is
                      lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men
                      c30black c30jap c30deu c30ita c30vet lc40wage
                      iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4
                      _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12
                      _Istateicps_13 _Istateicps_14 _Istateicps_21
                      _Istateicps_22 _Istateicps_23 _Istateicps_24
                      _Istateicps_25 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_63
                      _Istateicps_64 _Istateicps_65 _Istateicps_66
                      _Istateicps_67 _Istateicps_71 _Istateicps_72
                      _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est8 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  pc1                 if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. esttab using "results/tables/AppTab9_robust-frontier.tex" ,                                                                            ///
>         order(iAGRI_PF  tye_tfe890_500k_100_l6) drop(_cons)                                                                            ///
>         indicate("State FE (48) = *state*")                                                                                                ///
>         mgroups("OLS"  "2SLS", pattern(1 0 0 0 1 0 0 0)                                                                                       
>  ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         mlabel("War bonds" "Volunteers" "Medals" "PCA" "War bonds" "Volunteers" "Medals" "PCA")                                        ///
>         scalars("y_mean_round Mean dependent variable" "RA_test Rubin-Anderson test (p-value)")                                            ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                                                                    ///
>         nogaps title("Robust: Regressions Controlling for Frontier Experience.\label{tab:frontier}") nonotes
(output written to results/tables/AppTab9_robust-frontier.tex)

. 
. ***************************************************************************************************
. ****         Tab 10. Women volunteers                                                                      ****
. ***************************************************************************************************
. estimates clear

. eststo: xi: reg ww2_volw_pop40    iNDEXP_PC                                  $control  if sample_ols == 1 & servicecommand != 7, r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      54.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5285
                                                Root MSE          =     .02792

-------------------------------------------------------------------------------------
                    |               Robust
     ww2_volw_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .0035452   .0023565     1.50   0.133    -.0010759    .0081662
         ww1_vol_sh |   .0101809    .003697     2.75   0.006     .0029311    .0174308
ww1_awards_pop10_is |   .0057387    .009305     0.62   0.537    -.0125085    .0239858
             lpop30 |  -.0005722   .0018929    -0.30   0.762    -.0042842    .0031399
           c30unemp |   .0152332   .0247596     0.62   0.538    -.0333206     .063787
          c30urban1 |  -.0006014   .0016002    -0.38   0.707    -.0037394    .0025366
            c30farm |  -.0407638   .0062726    -6.50   0.000    -.0530644   -.0284633
            iYf_T29 |   .0034761    .001722     2.02   0.044     .0000992     .006853
           MEAN9628 |  -.0000103   .0000671    -0.15   0.878    -.0001419    .0001214
             c30men |  -.4451936   .0564229    -7.89   0.000    -.5558394   -.3345477
           c30black |  -.0163167   .0051811    -3.15   0.002    -.0264769   -.0061565
             c30jap |   .0205027   .2228405     0.09   0.927    -.4164894    .4574948
             c30deu |  -.0334121   .0244919    -1.36   0.173     -.081441    .0146168
             c30ita |  -.0225338   .0370251    -0.61   0.543    -.0951404    .0500728
             c30vet |   .1466015   .0318772     4.60   0.000     .0840901     .209113
           lc40wage |   .0286685   .0042304     6.78   0.000     .0203726    .0369645
      iwarconpro_PC |   .0079084   .0013044     6.06   0.000     .0053505    .0104662
      _Istateicps_2 |   .0119805   .0074595     1.61   0.108    -.0026476    .0266087
      _Istateicps_3 |  -.0061457   .0061414    -1.00   0.317    -.0181891    .0058977
      _Istateicps_4 |   .0189323   .0079511     2.38   0.017     .0033401    .0345245
      _Istateicps_5 |  -.0161861   .0112824    -1.43   0.152    -.0383109    .0059387
      _Istateicps_6 |  -.0067165   .0071746    -0.94   0.349    -.0207859     .007353
     _Istateicps_11 |  -.0112612   .0097024    -1.16   0.246    -.0302877    .0077652
     _Istateicps_12 |  -.0072265   .0059652    -1.21   0.226    -.0189243    .0044713
     _Istateicps_13 |   .0090585    .005361     1.69   0.091    -.0014544    .0195715
     _Istateicps_14 |  -.0039064   .0060286    -0.65   0.517    -.0157286    .0079158
     _Istateicps_21 |  -.0219094   .0061765    -3.55   0.000    -.0340217   -.0097972
     _Istateicps_22 |  -.0166189   .0060844    -2.73   0.006    -.0285505   -.0046874
     _Istateicps_23 |  -.0093485   .0067911    -1.38   0.169    -.0226659    .0039689
     _Istateicps_24 |   -.012104   .0062973    -1.92   0.055    -.0244532    .0002451
     _Istateicps_25 |   .0024269   .0080452     0.30   0.763    -.0133497    .0182035
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    .009399   .0064088     1.47   0.143    -.0031687    .0219667
     _Istateicps_41 |  -.0012773   .0060049    -0.21   0.832     -.013053    .0104985
     _Istateicps_42 |   .0298095   .0068141     4.37   0.000      .016447    .0431719
     _Istateicps_43 |   .0094049   .0075542     1.24   0.213    -.0054091    .0242188
     _Istateicps_44 |   .0058148    .006145     0.95   0.344    -.0062355    .0178651
     _Istateicps_45 |   .0174282   .0063953     2.73   0.006     .0048869    .0299695
     _Istateicps_46 |   .0052925   .0062118     0.85   0.394    -.0068889    .0174739
     _Istateicps_47 |   .0028456   .0058826     0.48   0.629    -.0086902    .0143815
     _Istateicps_48 |   .0033977   .0068569     0.50   0.620    -.0100488    .0168442
     _Istateicps_49 |   .0195076   .0061633     3.17   0.002     .0074214    .0315938
     _Istateicps_51 |  -.0064401   .0058763    -1.10   0.273    -.0179636    .0050835
     _Istateicps_52 |  -.0102632   .0068737    -1.49   0.136    -.0237425    .0032161
     _Istateicps_53 |   .0057873   .0061201     0.95   0.344    -.0062143    .0177889
     _Istateicps_54 |  -.0092352   .0058172    -1.59   0.113    -.0206428    .0021724
     _Istateicps_56 |   .0005649   .0060245     0.09   0.925    -.0112491    .0123789
     _Istateicps_61 |   .0136382   .0099363     1.37   0.170    -.0058469    .0331233
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0059175   .0087063     0.68   0.497    -.0111556    .0229906
     _Istateicps_64 |   .0668942   .0099765     6.71   0.000     .0473303    .0864582
     _Istateicps_65 |   .0349085   .0161793     2.16   0.031     .0031807    .0666363
     _Istateicps_66 |   .0369274   .0100248     3.68   0.000     .0172688     .056586
     _Istateicps_67 |  -.0134615   .0081073    -1.66   0.097      -.02936     .002437
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0122945   .0084181    -1.46   0.144    -.0288025    .0042135
     _Istateicps_72 |   .0133871   .0090543     1.48   0.139    -.0043683    .0311426
     _Istateicps_73 |   .0111872   .0076569     1.46   0.144    -.0038281    .0262025
     _Istateicps_98 |          0  (omitted)
              _cons |   .0724999   .0441413     1.64   0.101    -.0140616    .1590615
-------------------------------------------------------------------------------------
(est1 stored)

.            qui: sum ww2_volw_pop40    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.056"

. 
. eststo: xi: reg ww2_volw_pop40    iAGRI_PF                                   $control  if sample_ols == 1 & servicecommand != 7, r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      55.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5277
                                                Root MSE          =     .02794

-------------------------------------------------------------------------------------
                    |               Robust
     ww2_volw_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0009112   .0009086     1.00   0.316    -.0008707     .002693
         ww1_vol_sh |   .0101711   .0037307     2.73   0.006     .0028552     .017487
ww1_awards_pop10_is |   .0058036     .00933     0.62   0.534    -.0124925    .0240997
             lpop30 |  -.0008014   .0020198    -0.40   0.692    -.0047623    .0031595
           c30unemp |   .0194952   .0255876     0.76   0.446    -.0306823    .0696726
          c30urban1 |  -.0009826   .0015942    -0.62   0.538    -.0041088    .0021436
            c30farm |  -.0415472   .0062041    -6.70   0.000    -.0537135   -.0293809
            iYf_T29 |   .0034496   .0018428     1.87   0.061    -.0001641    .0070633
           MEAN9628 |  -.0000178   .0000665    -0.27   0.789    -.0001482    .0001126
             c30men |  -.4369747   .0556323    -7.85   0.000    -.5460701   -.3278793
           c30black |  -.0166457   .0050731    -3.28   0.001     -.026594   -.0066974
             c30jap |   .0109232    .226389     0.05   0.962    -.4330275    .4548739
             c30deu |  -.0387321   .0234719    -1.65   0.099    -.0847606    .0072964
             c30ita |  -.0228147   .0373421    -0.61   0.541    -.0960428    .0504135
             c30vet |   .1526636   .0304204     5.02   0.000     .0930088    .2123183
           lc40wage |   .0280799   .0042004     6.68   0.000     .0198428    .0363169
      iwarconpro_PC |   .0082831   .0013046     6.35   0.000     .0057249    .0108414
      _Istateicps_2 |   .0124748   .0076275     1.64   0.102    -.0024828    .0274323
      _Istateicps_3 |  -.0048801   .0059924    -0.81   0.416    -.0166312     .006871
      _Istateicps_4 |   .0188638   .0079128     2.38   0.017     .0033468    .0343809
      _Istateicps_5 |   -.015591   .0108487    -1.44   0.151    -.0368654    .0056833
      _Istateicps_6 |  -.0070367   .0072245    -0.97   0.330    -.0212039    .0071305
     _Istateicps_11 |  -.0102585   .0097393    -1.05   0.292    -.0293573    .0088404
     _Istateicps_12 |  -.0064538   .0057724    -1.12   0.264    -.0177735     .004866
     _Istateicps_13 |   .0098919   .0051722     1.91   0.056    -.0002509    .0200346
     _Istateicps_14 |  -.0019668   .0057956    -0.34   0.734     -.013332    .0093984
     _Istateicps_21 |  -.0209336   .0058015    -3.61   0.000    -.0323104   -.0095568
     _Istateicps_22 |  -.0162077     .00587    -2.76   0.006    -.0277187   -.0046966
     _Istateicps_23 |  -.0081223   .0064858    -1.25   0.211    -.0208409    .0045964
     _Istateicps_24 |  -.0109682   .0060414    -1.82   0.070    -.0228155     .000879
     _Istateicps_25 |   .0035403   .0076859     0.46   0.645    -.0115318    .0186124
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    .008267   .0061063     1.35   0.176    -.0037075    .0202414
     _Istateicps_41 |  -.0016283   .0057711    -0.28   0.778    -.0129455    .0096889
     _Istateicps_42 |   .0302511   .0066776     4.53   0.000     .0171562    .0433459
     _Istateicps_43 |   .0096823    .007512     1.29   0.198    -.0050488    .0244134
     _Istateicps_44 |   .0046026   .0058874     0.78   0.434    -.0069427    .0161478
     _Istateicps_45 |   .0173718   .0062118     2.80   0.005     .0051904    .0295532
     _Istateicps_46 |   .0056041   .0060611     0.92   0.355    -.0062818      .01749
     _Istateicps_47 |   .0020778   .0056688     0.37   0.714    -.0090387    .0131944
     _Istateicps_48 |   .0037973   .0066765     0.57   0.570    -.0092955      .01689
     _Istateicps_49 |   .0195958   .0059863     3.27   0.001     .0078566    .0313351
     _Istateicps_51 |  -.0061725   .0057336    -1.08   0.282    -.0174161    .0050711
     _Istateicps_52 |  -.0105881   .0066986    -1.58   0.114     -.023724    .0025478
     _Istateicps_53 |    .006867   .0059113     1.16   0.245    -.0047251     .018459
     _Istateicps_54 |  -.0099578   .0055812    -1.78   0.075    -.0209025     .000987
     _Istateicps_56 |   .0020718   .0060008     0.35   0.730    -.0096958    .0138395
     _Istateicps_61 |   .0170515   .0099237     1.72   0.086    -.0024089    .0365118
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0071202   .0084183     0.85   0.398     -.009388    .0236285
     _Istateicps_64 |   .0691186   .0095374     7.25   0.000     .0504157    .0878214
     _Istateicps_65 |   .0386893   .0158334     2.44   0.015     .0076399    .0697387
     _Istateicps_66 |   .0390209   .0098878     3.95   0.000     .0196308    .0584109
     _Istateicps_67 |  -.0120052   .0079443    -1.51   0.131    -.0275842    .0035737
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   -.012169   .0085503    -1.42   0.155    -.0289363    .0045983
     _Istateicps_72 |    .013821    .008862     1.56   0.119    -.0035575    .0311995
     _Istateicps_73 |   .0125136   .0074083     1.69   0.091    -.0020141    .0270413
     _Istateicps_98 |          0  (omitted)
              _cons |   .0874185   .0425052     2.06   0.040     .0040656    .1707715
-------------------------------------------------------------------------------------
(est2 stored)

.            qui: sum ww2_volw_pop40    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.056"

. 
. eststo: xi: reg ww2_volw_pop40               iSUM3MO_DROUGHT3340 iAGRI_T73   $control  if sample_ols == 1 & servicecommand != 7, cluster(CLIMD
> IVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5294
                                                Root MSE          =      .0279

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
     ww2_volw_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0025688   .0012207     2.10   0.036     .0001654    .0049723
          iAGRI_T73 |   .0021087   .0013883     1.52   0.130    -.0006248    .0048422
         ww1_vol_sh |   .0104057   .0036435     2.86   0.005     .0032318    .0175796
ww1_awards_pop10_is |   .0049357    .009793     0.50   0.615    -.0143463    .0242178
             lpop30 |  -.0007693   .0021544    -0.36   0.721    -.0050113    .0034726
           c30unemp |   .0165568   .0274462     0.60   0.547    -.0374835    .0705971
          c30urban1 |  -.0010039     .00176    -0.57   0.569    -.0044691    .0024614
            c30farm |  -.0435584   .0064598    -6.74   0.000    -.0562776   -.0308393
            iYf_T29 |   .0038729   .0018915     2.05   0.042     .0001485    .0075973
           MEAN9628 |  -.0000342   .0000701    -0.49   0.626    -.0001722    .0001038
             c30men |  -.4403593    .051249    -8.59   0.000    -.5412662   -.3394523
           c30black |  -.0164699    .005766    -2.86   0.005    -.0278228   -.0051169
             c30jap |  -.0215243   .2514675    -0.09   0.932    -.5166528    .4736042
             c30deu |  -.0397422   .0296389    -1.34   0.181    -.0980998    .0186154
             c30ita |  -.0281429   .0432513    -0.65   0.516    -.1133028     .057017
             c30vet |   .1499439   .0274362     5.47   0.000     .0959232    .2039646
           lc40wage |   .0271087   .0042328     6.40   0.000     .0187745     .035443
      iwarconpro_PC |   .0082412   .0014359     5.74   0.000     .0054139    .0110685
      _Istateicps_2 |   .0103455   .0058929     1.76   0.080    -.0012573    .0219483
      _Istateicps_3 |  -.0054865   .0039343    -1.39   0.164    -.0132331      .00226
      _Istateicps_4 |    .016365   .0053516     3.06   0.002     .0058278    .0269021
      _Istateicps_5 |  -.0159331   .0028007    -5.69   0.000    -.0214476   -.0104187
      _Istateicps_6 |  -.0081715   .0059269    -1.38   0.169    -.0198413    .0034983
     _Istateicps_11 |  -.0107305   .0080652    -1.33   0.185    -.0266104    .0051494
     _Istateicps_12 |  -.0068742   .0046354    -1.48   0.139     -.016001    .0022527
     _Istateicps_13 |   .0060222   .0055503     1.09   0.279     -.004906    .0169504
     _Istateicps_14 |  -.0048781   .0062164    -0.78   0.433     -.017118    .0073618
     _Istateicps_21 |  -.0264451   .0073631    -3.59   0.000    -.0409427   -.0119475
     _Istateicps_22 |  -.0220527   .0074259    -2.97   0.003     -.036674   -.0074315
     _Istateicps_23 |  -.0141215   .0083867    -1.68   0.093    -.0306345    .0023916
     _Istateicps_24 |  -.0168196   .0078923    -2.13   0.034    -.0323593     -.00128
     _Istateicps_25 |  -.0024649   .0097188    -0.25   0.800    -.0216007    .0166709
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    .007961   .0068245     1.17   0.244    -.0054761     .021398
     _Istateicps_41 |  -.0014493   .0057327    -0.25   0.801    -.0127367    .0098381
     _Istateicps_42 |    .024731   .0067631     3.66   0.000     .0114149    .0380472
     _Istateicps_43 |   .0089975   .0076202     1.18   0.239    -.0060063    .0240013
     _Istateicps_44 |   .0044318   .0059731     0.74   0.459    -.0073289    .0161924
     _Istateicps_45 |   .0169622   .0063443     2.67   0.008     .0044706    .0294538
     _Istateicps_46 |   .0032981   .0062476     0.53   0.598    -.0090031    .0155993
     _Istateicps_47 |    .001461   .0058465     0.25   0.803    -.0100506    .0129726
     _Istateicps_48 |   .0011373   .0076227     0.15   0.882    -.0138714     .016146
     _Istateicps_49 |   .0163297   .0064388     2.54   0.012     .0036519    .0290075
     _Istateicps_51 |   -.010464   .0068096    -1.54   0.126    -.0238718    .0029438
     _Istateicps_52 |  -.0107891   .0067072    -1.61   0.109    -.0239953    .0024172
     _Istateicps_53 |   .0010817   .0069398     0.16   0.876    -.0125825    .0147459
     _Istateicps_54 |  -.0134704   .0056412    -2.39   0.018    -.0245777   -.0023631
     _Istateicps_56 |   7.96e-06   .0061193     0.00   0.999    -.0120407    .0120566
     _Istateicps_61 |   .0131068   .0094978     1.38   0.169    -.0055941    .0318076
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0011905   .0093042     0.13   0.898     -.017129    .0195101
     _Istateicps_64 |    .063799   .0091368     6.98   0.000     .0458089     .081789
     _Istateicps_65 |   .0344256   .0128577     2.68   0.008     .0091094    .0597419
     _Istateicps_66 |   .0348716   .0088105     3.96   0.000     .0175242    .0522191
     _Istateicps_67 |  -.0170677   .0075389    -2.26   0.024    -.0319115    -.002224
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0141697   .0093563    -1.51   0.131    -.0325918    .0042523
     _Istateicps_72 |   .0081777    .009702     0.84   0.400    -.0109251    .0272804
     _Istateicps_73 |   .0094561   .0073339     1.29   0.198    -.0049841    .0238963
     _Istateicps_98 |          0  (omitted)
              _cons |    .101564    .043708     2.32   0.021     .0155049    .1876231
-------------------------------------------------------------------------------------
(est3 stored)

.            qui: sum ww2_volw_pop40    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.056"

. 
. eststo: xi: ivreg2 ww2_volw_pop40 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control  if sample_ols == 1 & servicecommand != 7, cluster(CLIMD
> IVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   194.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  3.757116944                Centered R2   =   0.5068
Total (uncentered) SS   =  11.08654647                Uncentered R2 =   0.8328
Residual SS             =  1.853178953                Root MSE      =   .02821

-------------------------------------------------------------------------------------
                    |               Robust
     ww2_volw_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0088582   .0031409     2.82   0.005     .0027022    .0150142
         ww1_vol_sh |   .0099374     .00381     2.61   0.009     .0024699    .0174048
ww1_awards_pop10_is |   .0044072   .0099722     0.44   0.659    -.0151379    .0239523
             lpop30 |   .0009757   .0023002     0.42   0.671    -.0035327    .0054841
           c30unemp |   .0264599   .0287816     0.92   0.358     -.029951    .0828708
          c30urban1 |  -.0024545   .0017788    -1.38   0.168    -.0059409    .0010319
            c30farm |  -.0443527   .0066443    -6.68   0.000    -.0573752   -.0313302
            iYf_T29 |   .0008581    .002315     0.37   0.711    -.0036793    .0053955
           MEAN9628 |  -.0001285   .0000783    -1.64   0.101    -.0002819     .000025
             c30men |  -.4369351   .0510399    -8.56   0.000    -.5369714   -.3368988
           c30black |  -.0141782   .0062072    -2.28   0.022    -.0263441   -.0020123
             c30jap |   .0170695   .2496621     0.07   0.945    -.4722593    .5063983
             c30deu |  -.0458005   .0273697    -1.67   0.094    -.0994441    .0078431
             c30ita |  -.0140632   .0432066    -0.33   0.745    -.0987465    .0706201
             c30vet |   .1436146   .0277425     5.18   0.000     .0892404    .1979889
           lc40wage |   .0263546   .0041443     6.36   0.000     .0182319    .0344773
      iwarconpro_PC |   .0082112   .0014878     5.52   0.000     .0052951    .0111274
      _Istateicps_2 |   .0228856   .0082907     2.76   0.006     .0066362     .039135
      _Istateicps_3 |  -.0051654   .0044198    -1.17   0.243    -.0138281    .0034973
      _Istateicps_4 |   .0283785   .0062595     4.53   0.000       .01611     .040647
      _Istateicps_5 |  -.0130224   .0034346    -3.79   0.000    -.0197542   -.0062906
      _Istateicps_6 |   .0005196   .0062909     0.08   0.934    -.0118102    .0128495
     _Istateicps_11 |  -.0069451   .0061696    -1.13   0.260    -.0190374    .0051472
     _Istateicps_12 |  -.0039432    .004416    -0.89   0.372    -.0125983     .004712
     _Istateicps_13 |   .0165606   .0060319     2.75   0.006     .0047384    .0283828
     _Istateicps_14 |   .0060267   .0071491     0.84   0.399    -.0079852    .0200386
     _Istateicps_21 |  -.0246006   .0068919    -3.57   0.000    -.0381084   -.0110928
     _Istateicps_22 |  -.0170724   .0066063    -2.58   0.010    -.0300205   -.0041243
     _Istateicps_23 |  -.0068486   .0075188    -0.91   0.362    -.0215852     .007888
     _Istateicps_24 |  -.0094272   .0076882    -1.23   0.220    -.0244958    .0056415
     _Istateicps_25 |   .0021464   .0090786     0.24   0.813    -.0156474    .0199401
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0173404   .0072967     2.38   0.017     .0030392    .0316416
     _Istateicps_41 |    .002267   .0060181     0.38   0.706    -.0095282    .0140622
     _Istateicps_42 |   .0340506   .0063209     5.39   0.000     .0216618    .0464393
     _Istateicps_43 |    .017097   .0076429     2.24   0.025     .0021171    .0320769
     _Istateicps_44 |   .0078608   .0061764     1.27   0.203    -.0042448    .0199663
     _Istateicps_45 |   .0216511   .0064682     3.35   0.001     .0089737    .0343286
     _Istateicps_46 |   .0133899   .0064624     2.07   0.038     .0007238    .0260559
     _Istateicps_47 |   .0064893   .0062813     1.03   0.302    -.0058219    .0188005
     _Istateicps_48 |    .006861   .0069061     0.99   0.320    -.0066747    .0203967
     _Istateicps_49 |   .0156514   .0072412     2.16   0.031      .001459    .0298438
     _Istateicps_51 |  -.0014997   .0070762    -0.21   0.832    -.0153687    .0123694
     _Istateicps_52 |  -.0079639   .0068869    -1.16   0.248    -.0214619    .0055342
     _Istateicps_53 |   .0042439   .0065465     0.65   0.517     -.008587    .0170747
     _Istateicps_54 |  -.0044462   .0055413    -0.80   0.422     -.015307    .0064146
     _Istateicps_56 |   .0136692   .0076688     1.78   0.075    -.0013613    .0286998
     _Istateicps_61 |   .0192065   .0090215     2.13   0.033     .0015246    .0368883
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0044226   .0093047     0.48   0.635    -.0138143    .0226595
     _Istateicps_64 |   .0614414   .0092807     6.62   0.000     .0432515    .0796313
     _Istateicps_65 |   .0402203   .0109534     3.67   0.000     .0187519    .0616887
     _Istateicps_66 |   .0369576   .0094055     3.93   0.000     .0185231    .0553921
     _Istateicps_67 |  -.0123407    .007557    -1.63   0.102    -.0271522    .0024707
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0170074   .0097105    -1.75   0.080    -.0360397    .0020249
     _Istateicps_72 |   .0120517    .009696     1.24   0.214    -.0069521    .0310555
     _Istateicps_73 |   .0126532   .0070294     1.80   0.072    -.0011242    .0264307
     _Istateicps_98 |          0  (omitted)
              _cons |   .0447158   .0473662     0.94   0.345    -.0481201    .1375518
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est4 stored)

.            qui: sum ww2_volw_pop40    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.056"

. 
. esttab using "results/tables/AppTab10_women-volunteers.tex" ,                                        ///
>     indicate("County-level controls = $control_nofe" "State FEs = *state*" )                             ///
>         order(iNDEXP_PC iAGRI_PF iSUM3MO_DROUGHT3340 iAGRI_T73)                                          ///
>         drop(_cons)                                                                                      ///
>         mgroups("Women volunteers", pattern(1 0 0 0)                                                     ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                             ///
>         mlabel("OLS" "OLS" "RF" "2SLS")                                                                  ///
>         scalars("y_mean_round Mean dependent variable" )                                                         ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable             ///
>         b(%9.3f) se(%9.3f) r2(%9.3f) nonotes                                                                     ///
>         nogaps title(Effect of New Deal and Agricultural Support on Women Volunteer per Capita.\label{tab:women-volunteers})
(output written to results/tables/AppTab10_women-volunteers.tex)

. 
. 
. ***************************************************************************************************     
. ****         Tab 11. Spatial Autocorrelation                                                   ****
. ****                 Panel A: Moran's I                                                                ****
. ***************************************************************************************************     
. xi:  reg iwarbond_1944_PC    iAGRI_PF  $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      97.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6687
                                                Root MSE          =     .39339

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0141484    11.52   0.000     .1352388    .1907222
         ww1_vol_sh |  -.0034661   .0356608    -0.10   0.923    -.0733885    .0664563
ww1_awards_pop10_is |   .2278298   .0834635     2.73   0.006     .0641773    .3914823
             lpop30 |  -.0196992   .0256811    -0.77   0.443    -.0700539    .0306555
           c30unemp |  -.3969034    .261674    -1.52   0.129     -.909985    .1161782
          c30urban1 |   .0341968   .0246873     1.39   0.166    -.0142093    .0826029
            c30farm |  -.5369548    .124902    -4.30   0.000    -.7818586   -.2920511
            iYf_T29 |   .0545721   .0197713     2.76   0.006     .0158051     .093339
           MEAN9628 |   .0018992   .0009269     2.05   0.041     .0000817    .0037167
             c30men |  -1.208349   .7715966    -1.57   0.117     -2.72127    .3045715
           c30black |  -.2788324    .086972    -3.21   0.001    -.4493643   -.1083006
             c30jap |   5.155809   2.017139     2.56   0.011     1.200671    9.110947
             c30deu |   .6686746   .1792804     3.73   0.000     .3171476    1.020202
             c30ita |  -.2307047   .5828297    -0.40   0.692    -1.373498    .9120883
             c30vet |  -.0487409   1.029123    -0.05   0.962    -2.066611    1.969129
           lc40wage |   .4648431    .056188     8.27   0.000     .3546716    .5750146
      iwarconpro_PC |   .2779728   .0223391    12.44   0.000      .234171    .3217745
      _Istateicps_2 |  -.0112314   .1494834    -0.08   0.940    -.3043334    .2818706
      _Istateicps_3 |  -.1671985   .1386839    -1.21   0.228    -.4391253    .1047283
      _Istateicps_4 |   .0319799   .1823873     0.18   0.861     -.325639    .3895987
      _Istateicps_5 |   -.287031   .3847282    -0.75   0.456    -1.041393    .4673312
      _Istateicps_6 |   .0632551   .1372149     0.46   0.645    -.2057914    .3323015
     _Istateicps_11 |   .2953927   .1646963     1.79   0.073    -.0275384    .6183238
     _Istateicps_12 |  -.0684945   .1301771    -0.53   0.599    -.3237414    .1867523
     _Istateicps_13 |   .0725467   .1147227     0.63   0.527    -.1523978    .2974911
     _Istateicps_14 |   .1201342   .1190985     1.01   0.313    -.1133902    .3536586
     _Istateicps_21 |   .1057907   .1212251     0.87   0.383    -.1319035    .3434849
     _Istateicps_22 |   .0432751   .1214429     0.36   0.722    -.1948461    .2813962
     _Istateicps_23 |   .0249717   .1227549     0.20   0.839     -.215722    .2656654
     _Istateicps_24 |  -.0012449   .1204611    -0.01   0.992     -.237441    .2349512
     _Istateicps_25 |   .0574388   .1280839     0.45   0.654    -.1937038    .3085815
     _Istateicps_31 |   .5499366   .1269666     4.33   0.000     .3009848    .7988884
     _Istateicps_32 |   .4226583   .1299297     3.25   0.001     .1678965      .67742
     _Istateicps_33 |    .372044     .13055     2.85   0.004      .116066     .628022
     _Istateicps_34 |   .0395638   .1230358     0.32   0.748    -.2016806    .2808082
     _Istateicps_35 |   .5272082   .1299634     4.06   0.000     .2723802    .7820361
     _Istateicps_36 |   .5953787   .1472992     4.04   0.000     .3065595     .884198
     _Istateicps_37 |   .3701488   .1329204     2.78   0.005     .1095228    .6307747
     _Istateicps_40 |   .0992902   .1327178     0.75   0.454    -.1609384    .3595187
     _Istateicps_41 |   .0187536    .129861     0.14   0.885    -.2358736    .2733807
     _Istateicps_42 |  -.3233064   .1368954    -2.36   0.018    -.5917263   -.0548864
     _Istateicps_43 |   .0188175   .1468123     0.13   0.898    -.2690471    .3066821
     _Istateicps_44 |  -.1593528   .1325751    -1.20   0.229    -.4193017     .100596
     _Istateicps_45 |  -.2314598    .136488    -1.70   0.090    -.4990808    .0361613
     _Istateicps_46 |  -.0089986   .1378238    -0.07   0.948     -.279239    .2612418
     _Istateicps_47 |  -.0707111   .1298129    -0.54   0.586    -.3252438    .1838216
     _Istateicps_48 |  -.3636704   .1480086    -2.46   0.014    -.6538807   -.0734601
     _Istateicps_49 |   .1081912   .1307853     0.83   0.408    -.1482482    .3646306
     _Istateicps_51 |  -.2472767   .1253798    -1.97   0.049    -.4931171   -.0014362
     _Istateicps_52 |  -.0686927   .1532397    -0.45   0.654    -.3691599    .2317746
     _Istateicps_53 |   .1123506   .1318472     0.85   0.394     -.146171    .3708722
     _Istateicps_54 |  -.1235242   .1267943    -0.97   0.330    -.3721382    .1250897
     _Istateicps_56 |  -.0422976   .1271313    -0.33   0.739    -.2915724    .2069772
     _Istateicps_61 |   .0702502   .1580846     0.44   0.657    -.2397168    .3802171
     _Istateicps_62 |   .1182808   .1354343     0.87   0.383    -.1472743    .3838358
     _Istateicps_63 |   .1841829   .1512284     1.22   0.223    -.1123408    .4807065
     _Istateicps_64 |   .6090193    .143926     4.23   0.000      .326814    .8912245
     _Istateicps_65 |   .1762924   .1934833     0.91   0.362    -.2030832     .555668
     _Istateicps_66 |  -.1742881   .1541775    -1.13   0.258    -.4765943     .128018
     _Istateicps_67 |  -.0555764   .1420504    -0.39   0.696     -.334104    .2229512
     _Istateicps_68 |   .3751607   .1616376     2.32   0.020     .0582271    .6920944
     _Istateicps_71 |   .1442228   .1358197     1.06   0.288    -.1220879    .4105335
     _Istateicps_72 |   .5858306   .1382261     4.24   0.000     .3148014    .8568597
     _Istateicps_73 |     .46261     .16418     2.82   0.005     .1406913    .7845287
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138    .587674     2.10   0.036     .0790886    2.383672
-------------------------------------------------------------------------------------

.         predict e_ols1 if e(sample) == 1, resid
(48 missing values generated)

. xi:  reg ww2_vol_pop40       iAGRI_PF  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      73.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6233
                                                Root MSE          =     .21229

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0073847     4.98   0.000     .0222585    .0512215
         ww1_vol_sh |   .1099746   .0263232     4.18   0.000     .0583545    .1615947
ww1_awards_pop10_is |   .1261255   .1003664     1.26   0.209    -.0706939    .3229449
             lpop30 |  -.0125949   .0110375    -1.14   0.254    -.0342395    .0090497
           c30unemp |   .6094068   .2050481     2.97   0.003     .2073058    1.011508
          c30urban1 |   .0070253   .0128933     0.54   0.586    -.0182587    .0323092
            c30farm |  -.0861848   .0550115    -1.57   0.117    -.1940628    .0216932
            iYf_T29 |  -.0283905   .0116755    -2.43   0.015    -.0512863   -.0054947
           MEAN9628 |  -.0003738   .0005332    -0.70   0.483    -.0014194    .0006719
             c30men |  -1.264086   .5145448    -2.46   0.014    -2.273113   -.2550597
           c30black |   -.433984   .0374408   -11.59   0.000    -.5074057   -.3605623
             c30jap |    .735138   1.237742     0.59   0.553    -1.692084     3.16236
             c30deu |  -.7111557    .152931    -4.65   0.000    -1.011055   -.4112567
             c30ita |   -.234159   .2365792    -0.99   0.322    -.6980928    .2297748
             c30vet |   1.116889   .3187849     3.50   0.000     .4917489    1.742029
           lc40wage |   .2101183   .0330775     6.35   0.000      .145253    .2749836
      iwarconpro_PC |  -.0339349   .0077829    -4.36   0.000    -.0491973   -.0186726
      _Istateicps_2 |   .0041405   .0580255     0.07   0.943     -.109648    .1179289
      _Istateicps_3 |   .0339488   .0566075     0.60   0.549    -.0770588    .1449565
      _Istateicps_4 |   .2386163   .0785297     3.04   0.002     .0846189    .3926137
      _Istateicps_5 |  -.0046429   .0605038    -0.08   0.939    -.1232914    .1140056
      _Istateicps_6 |   .3041236   .0778043     3.91   0.000     .1515487    .4566985
     _Istateicps_11 |  -.1669829   .0654089    -2.55   0.011    -.2952503   -.0387155
     _Istateicps_12 |   -.090787   .0521029    -1.74   0.082    -.1929612    .0113873
     _Istateicps_13 |   .0501752   .0519044     0.97   0.334    -.0516098    .1519602
     _Istateicps_14 |  -.1909468   .0504568    -3.78   0.000    -.2898931   -.0920005
     _Istateicps_21 |   .0211005   .0548183     0.38   0.700    -.0863987    .1285997
     _Istateicps_22 |  -.0806155   .0538466    -1.50   0.134    -.1862091     .024978
     _Istateicps_23 |   -.031761   .0604973    -0.52   0.600    -.1503968    .0868748
     _Istateicps_24 |  -.0901466   .0536463    -1.68   0.093    -.1953473    .0150542
     _Istateicps_25 |   .1962322   .0643143     3.05   0.002     .0701114     .322353
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935    .055278    -2.62   0.009    -.2529941   -.0361929
     _Istateicps_41 |   .0950313   .0578243     1.64   0.100    -.0183626    .2084251
     _Istateicps_42 |  -.2260176   .0557772    -4.05   0.000    -.3353972    -.116638
     _Istateicps_43 |   .2192397   .0626405     3.50   0.000     .0964011    .3420782
     _Istateicps_44 |   .1720065   .0560542     3.07   0.002     .0620838    .2819293
     _Istateicps_45 |  -.1822926    .056014    -3.25   0.001    -.2921365   -.0724487
     _Istateicps_46 |   .1452847   .0596115     2.44   0.015      .028386    .2621833
     _Istateicps_47 |  -.0122521   .0544106    -0.23   0.822    -.1189517    .0944475
     _Istateicps_48 |   .0715918     .06013     1.19   0.234    -.0463237    .1895072
     _Istateicps_49 |   .5233502   .0583929     8.96   0.000     .4088412    .6378593
     _Istateicps_51 |    .056484   .0553432     1.02   0.308    -.0520446    .1650125
     _Istateicps_52 |  -.2913221   .0577322    -5.05   0.000    -.4045354   -.1781087
     _Istateicps_53 |   .1476366   .0583803     2.53   0.012     .0331524    .2621208
     _Istateicps_54 |   -.026899   .0564602    -0.48   0.634     -.137618      .08382
     _Istateicps_56 |   .1086773   .0599807     1.81   0.070    -.0089453    .2262999
     _Istateicps_61 |  -.4907201   .0647544    -7.58   0.000     -.617704   -.3637361
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0644867    -0.90   0.369    -.1844368     .068481
     _Istateicps_64 |    .173091   .0674786     2.57   0.010      .040765    .3054171
     _Istateicps_65 |   -.159553   .0913244    -1.75   0.081    -.3386408    .0195349
     _Istateicps_66 |   .0918128    .071701     1.28   0.201    -.0487935    .2324191
     _Istateicps_67 |  -.2062293   .0638004    -3.23   0.001    -.3313425   -.0811162
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0699624     0.07   0.942    -.1321483    .1422454
     _Istateicps_72 |  -.1516232   .0660285    -2.30   0.022    -.2811057   -.0221407
     _Istateicps_73 |   .0544429   .0659659     0.83   0.409    -.0749168    .1838026
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .3311912    -0.61   0.545    -.8500465    .4488909
-------------------------------------------------------------------------------------

.         predict e_ols2 if e(sample) == 1, resid
(741 missing values generated)

. xi:  reg ww2_awards_pop40_is iAGRI_PF  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      12.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1872
                                                Root MSE          =     .11646

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0038028     3.46   0.001     .0057139    .0206285
         ww1_vol_sh |   .0564202   .0208676     2.70   0.007     .0154987    .0973418
ww1_awards_pop10_is |   .0349864   .0339162     1.03   0.302    -.0315237    .1014964
             lpop30 |  -.0173645   .0134171    -1.29   0.196    -.0436756    .0089466
           c30unemp |   .1527126   .1546671     0.99   0.324    -.1505908     .456016
          c30urban1 |   .0057236    .006182     0.93   0.355    -.0063993    .0178466
            c30farm |     .02803   .0257444     1.09   0.276    -.0224551     .078515
            iYf_T29 |   .0128969    .009741     1.32   0.186    -.0062052     .031999
           MEAN9628 |  -.0000696   .0003341    -0.21   0.835    -.0007248    .0005856
             c30men |  -.5458902   .2482677    -2.20   0.028    -1.032745   -.0590352
           c30black |  -.0502053   .0211631    -2.37   0.018    -.0917063   -.0087043
             c30jap |   .8842438   1.328231     0.67   0.506    -1.720428    3.488915
             c30deu |   .0555887   .1230038     0.45   0.651    -.1856227    .2968002
             c30ita |  -.0096405   .1711482    -0.06   0.955    -.3452635    .3259824
             c30vet |   .2707406   .1087542     2.49   0.013     .0574727    .4840084
           lc40wage |   .0564545   .0194359     2.90   0.004     .0183406    .0945684
      iwarconpro_PC |   .0048563    .004565     1.06   0.288    -.0040957    .0138084
      _Istateicps_2 |  -.0249839    .032068    -0.78   0.436    -.0878695    .0379017
      _Istateicps_3 |  -.0025937   .0225675    -0.11   0.909    -.0468487    .0416614
      _Istateicps_4 |  -.0258903   .0382771    -0.68   0.499    -.1009521    .0491714
      _Istateicps_5 |   .0585332   .0554012     1.06   0.291    -.0501089    .1671754
      _Istateicps_6 |  -.0237489   .0392838    -0.60   0.546    -.1007847    .0532869
     _Istateicps_11 |  -.0441544   .0266785    -1.66   0.098    -.0964712    .0081624
     _Istateicps_12 |  -.0367685   .0233274    -1.58   0.115    -.0825137    .0089767
     _Istateicps_13 |  -.0040381   .0220164    -0.18   0.854    -.0472125    .0391364
     _Istateicps_14 |  -.0291064   .0229636    -1.27   0.205    -.0741383    .0159254
     _Istateicps_21 |  -.0436119   .0297964    -1.46   0.143    -.1020429     .014819
     _Istateicps_22 |  -.0667818   .0296122    -2.26   0.024    -.1248516   -.0087121
     _Istateicps_23 |  -.0375624   .0341324    -1.10   0.271    -.1044964    .0293716
     _Istateicps_24 |  -.0226088   .0286082    -0.79   0.429    -.0787097    .0334921
     _Istateicps_25 |  -.0741215   .0433693    -1.71   0.088    -.1591691    .0109261
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949    .026309    -0.82   0.410    -.0732871    .0298973
     _Istateicps_41 |  -.0282889   .0248453    -1.14   0.255    -.0770107    .0204329
     _Istateicps_42 |  -.0404452   .0248006    -1.63   0.103    -.0890794     .008189
     _Istateicps_43 |   .0096145   .0340751     0.28   0.778    -.0572072    .0764361
     _Istateicps_44 |    -.03822   .0257361    -1.49   0.138    -.0886886    .0122487
     _Istateicps_45 |  -.0312308   .0248203    -1.26   0.208    -.0799035     .017442
     _Istateicps_46 |   .0001286   .0265237     0.00   0.996    -.0518846    .0521418
     _Istateicps_47 |  -.0395406    .024187    -1.63   0.102    -.0869716    .0078903
     _Istateicps_48 |  -.0235965   .0265572    -0.89   0.374    -.0756755    .0284825
     _Istateicps_49 |   .0013643   .0245947     0.06   0.956    -.0468662    .0495948
     _Istateicps_51 |  -.0287306   .0252181    -1.14   0.255    -.0781835    .0207224
     _Istateicps_52 |  -.0279878   .0351016    -0.80   0.425    -.0968222    .0408467
     _Istateicps_53 |  -.0133041   .0255904    -0.52   0.603    -.0634871    .0368788
     _Istateicps_54 |  -.0303913   .0244789    -1.24   0.215    -.0783945    .0176119
     _Istateicps_56 |  -.0145483   .0263814    -0.55   0.581    -.0662824    .0371858
     _Istateicps_61 |   .0282924   .0406218     0.70   0.486    -.0513674    .1079521
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0430456     0.17   0.864    -.0770225     .091803
     _Istateicps_64 |   .1184136   .0465794     2.54   0.011      .027071    .2097562
     _Istateicps_65 |   .0104794   .0623777     0.17   0.867    -.1118438    .1328025
     _Istateicps_66 |  -.0050731    .031455    -0.16   0.872    -.0667566    .0566104
     _Istateicps_67 |   .0111529    .041947     0.27   0.790    -.0711056    .0934114
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0546026     1.21   0.227    -.0410431    .1731091
     _Istateicps_72 |   -.012919   .0394358    -0.33   0.743    -.0902529    .0644149
     _Istateicps_73 |   .0276688   .0369424     0.75   0.454    -.0447756    .1001132
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1845578     0.29   0.771    -.3082636     .415575
-------------------------------------------------------------------------------------

.         predict e_ols3 if e(sample) == 1, resid
(741 missing values generated)

. xi:  reg pc1                 iAGRI_PF  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =     104.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6531
                                                Root MSE          =     .74919

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0258664     9.02   0.000     .1826752    .2841238
         ww1_vol_sh |   .4505476   .1169393     3.85   0.000     .2212286    .6798666
ww1_awards_pop10_is |   .5719262   .2683074     2.13   0.033     .0457731    1.098079
             lpop30 |  -.1484064   .0695116    -2.13   0.033    -.2847193   -.0120936
           c30unemp |   1.605957   .8875824     1.81   0.071     -.134599    3.346514
          c30urban1 |   .1167555   .0421121     2.77   0.006     .0341732    .1993377
            c30farm |  -.4338444   .1806466    -2.40   0.016    -.7880939   -.0795949
            iYf_T29 |   .0609448   .0555964     1.10   0.273    -.0480802    .1699698
           MEAN9628 |   .0022342   .0019838     1.13   0.260     -.001656    .0061244
             c30men |  -6.462308   1.482359    -4.36   0.000    -9.369225    -3.55539
           c30black |  -1.176993   .1426673    -8.25   0.000    -1.456765   -.8972209
             c30jap |   11.08854   6.988664     1.59   0.113    -2.616291    24.79337
             c30deu |  -.0658039   .6774689    -0.10   0.923    -1.394326    1.262718
             c30ita |  -.4954921   1.112829    -0.45   0.656    -2.677759    1.686774
             c30vet |   3.894608   .7907039     4.93   0.000     2.344031    5.445185
           lc40wage |   1.038707   .1272779     8.16   0.000     .7891143      1.2883
      iwarconpro_PC |   .2327704   .0314721     7.40   0.000     .1710535    .2944874
      _Istateicps_2 |    -.11426      .2179    -0.52   0.600    -.5415637    .3130438
      _Istateicps_3 |  -.0770539   .2139167    -0.36   0.719    -.4965463    .3424385
      _Istateicps_4 |   .3082856   .2828381     1.09   0.276    -.2463622    .8629334
      _Istateicps_5 |  -.0608687   .4784817    -0.13   0.899    -.9991753    .8774378
      _Istateicps_6 |   .4949421   .2744667     1.80   0.071    -.0432894    1.033174
     _Istateicps_11 |  -.1571952   .2045424    -0.77   0.442    -.5583046    .2439142
     _Istateicps_12 |  -.3657503   .1889731    -1.94   0.053    -.7363281    .0048274
     _Istateicps_13 |   .1356128   .1783253     0.76   0.447    -.2140845    .4853102
     _Istateicps_14 |  -.3224387    .183171    -1.76   0.078    -.6816385     .036761
     _Istateicps_21 |  -.0250645   .2091917    -0.12   0.905     -.435291    .3851621
     _Istateicps_22 |  -.3653847    .209128    -1.75   0.081    -.7754863     .044717
     _Istateicps_23 |  -.1593275   .2336472    -0.68   0.495    -.6175115    .2988565
     _Istateicps_24 |  -.2352151    .205795    -1.14   0.253    -.6387807    .1683505
     _Istateicps_25 |   .0749767   .2679508     0.28   0.780     -.450477    .6004304
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .2059168    -1.18   0.238    -.6467691    .1608401
     _Istateicps_41 |   .0767307   .2006791     0.38   0.702    -.3168027    .4702642
     _Istateicps_42 |  -.8293752    .203515    -4.08   0.000     -1.22847   -.4302807
     _Istateicps_43 |     .40108   .2424008     1.65   0.098      -.07427    .8764299
     _Istateicps_44 |  -.0016264   .2026463    -0.01   0.994    -.3990175    .3957646
     _Istateicps_45 |   -.654698   .2007435    -3.26   0.001    -1.048358   -.2610383
     _Istateicps_46 |   .2102797   .2114128     0.99   0.320    -.2043026    .6248619
     _Istateicps_47 |  -.2329315   .1983682    -1.17   0.240    -.6219333    .1560702
     _Istateicps_48 |  -.3283592    .211657    -1.55   0.121    -.7434202    .0867019
     _Istateicps_49 |   .9989503   .2019692     4.95   0.000     .6028871    1.395014
     _Istateicps_51 |  -.2027824   .1991266    -1.02   0.309    -.5932713    .1877065
     _Istateicps_52 |  -.6443716   .2537462    -2.54   0.011     -1.14197   -.1467732
     _Istateicps_53 |   .3266428   .2008401     1.63   0.104    -.0672063    .7204919
     _Istateicps_54 |  -.2498932   .1972106    -1.27   0.205    -.6366248    .1368384
     _Istateicps_56 |   .0839127   .2086388     0.40   0.688    -.3252297     .493055
     _Istateicps_61 |   -.640051   .2717158    -2.36   0.019    -1.172888   -.1072141
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2649316     0.41   0.682    -.4108931    .6281729
     _Istateicps_64 |    1.36512   .2691654     5.07   0.000     .8372839    1.892955
     _Istateicps_65 |  -.0745165   .4119031    -0.18   0.856    -.8822619     .733229
     _Istateicps_66 |   .0026817   .2625794     0.01   0.992    -.5122386     .517602
     _Istateicps_67 |  -.3375948    .273391    -1.23   0.217    -.8737168    .1985273
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .3140406     1.37   0.172    -.1869327     1.04474
     _Istateicps_72 |   .2000608   .2544606     0.79   0.432    -.2989385    .6990601
     _Istateicps_73 |   .6304132   .2776316     2.27   0.023     .0859754    1.174851
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.176859    -3.60   0.000    -6.540944   -1.925285
-------------------------------------------------------------------------------------

.         predict e_ols4 if e(sample) == 1, resid
(741 missing values generated)

.         
. xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1                      , cluster(CLIMDIV
> X) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
      _Istateicps_2 |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
      _Istateicps_3 |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
      _Istateicps_4 |    .273926   .1205731     2.27   0.023      .037607    .5102449
      _Istateicps_5 |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
      _Istateicps_6 |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
     _Istateicps_11 |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
     _Istateicps_12 |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
     _Istateicps_13 |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
     _Istateicps_14 |   .3265672   .0979723     3.33   0.001      .134545    .5185893
     _Istateicps_21 |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
     _Istateicps_22 |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
     _Istateicps_23 |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
     _Istateicps_24 |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
     _Istateicps_25 |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
     _Istateicps_31 |   .3896854   .1088369     3.58   0.000      .176369    .6030017
     _Istateicps_32 |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
     _Istateicps_33 |     .28514   .1104375     2.58   0.010     .0686866    .5015935
     _Istateicps_34 |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
     _Istateicps_35 |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
     _Istateicps_36 |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
     _Istateicps_37 |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
     _Istateicps_40 |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
     _Istateicps_41 |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
     _Istateicps_42 |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
     _Istateicps_43 |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
     _Istateicps_44 |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
     _Istateicps_45 |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
     _Istateicps_46 |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
     _Istateicps_47 |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
     _Istateicps_48 |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
     _Istateicps_49 |    .026546    .116572     0.23   0.820     -.201931     .255023
     _Istateicps_51 |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
     _Istateicps_52 |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
     _Istateicps_53 |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
     _Istateicps_54 |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
     _Istateicps_56 |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
     _Istateicps_61 |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
     _Istateicps_62 |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
     _Istateicps_63 |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
     _Istateicps_64 |    .443744   .1256613     3.53   0.000     .1974523    .6900356
     _Istateicps_65 |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
     _Istateicps_66 |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
     _Istateicps_67 |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
     _Istateicps_68 |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
     _Istateicps_71 |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
     _Istateicps_72 |     .55665   .1067046     5.22   0.000     .3475129    .7657871
     _Istateicps_73 |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------

.         predict e_iv1  if e(sample) == 1, resid
(48 missing values generated)

. xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIV
> X)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
      _Istateicps_2 |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
      _Istateicps_3 |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
      _Istateicps_4 |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
      _Istateicps_5 |    .043889    .071236     0.62   0.538    -.0957311    .1835091
      _Istateicps_6 |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
     _Istateicps_11 |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
     _Istateicps_12 |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
     _Istateicps_13 |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
     _Istateicps_14 |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
     _Istateicps_21 |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
     _Istateicps_22 |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
     _Istateicps_23 |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
     _Istateicps_24 |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
     _Istateicps_25 |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
     _Istateicps_41 |    .168629   .0941446     1.79   0.073     -.015891     .353149
     _Istateicps_42 |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
     _Istateicps_43 |    .359333   .1030183     3.49   0.000     .1574208    .5612453
     _Istateicps_44 |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
     _Istateicps_45 |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
     _Istateicps_46 |   .2923887   .0978264     2.99   0.003     .1006525     .484125
     _Istateicps_47 |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
     _Istateicps_48 |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
     _Istateicps_49 |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
     _Istateicps_51 |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
     _Istateicps_52 |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
     _Istateicps_53 |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
     _Istateicps_54 |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
     _Istateicps_56 |   .3277989    .117535     2.79   0.005     .0974344    .5581633
     _Istateicps_61 |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
     _Istateicps_64 |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
     _Istateicps_65 |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
     _Istateicps_66 |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
     _Istateicps_67 |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
     _Istateicps_72 |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
     _Istateicps_73 |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         predict e_iv2  if e(sample) == 1, resid 
(741 missing values generated)

. xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIV
> X)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
      _Istateicps_2 |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
      _Istateicps_3 |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
      _Istateicps_4 |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
      _Istateicps_5 |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
      _Istateicps_6 |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
     _Istateicps_11 |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
     _Istateicps_12 |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
     _Istateicps_13 |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
     _Istateicps_14 |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
     _Istateicps_21 |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
     _Istateicps_22 |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
     _Istateicps_23 |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
     _Istateicps_24 |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
     _Istateicps_25 |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
     _Istateicps_41 |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
     _Istateicps_42 |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
     _Istateicps_43 |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
     _Istateicps_44 |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
     _Istateicps_45 |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
     _Istateicps_46 |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
     _Istateicps_47 |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
     _Istateicps_48 |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
     _Istateicps_49 |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
     _Istateicps_51 |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
     _Istateicps_52 |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
     _Istateicps_53 |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
     _Istateicps_54 |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
     _Istateicps_56 |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
     _Istateicps_61 |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
     _Istateicps_64 |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
     _Istateicps_65 |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
     _Istateicps_66 |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
     _Istateicps_67 |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
     _Istateicps_72 |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
     _Istateicps_73 |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         predict e_iv3  if e(sample) == 1, resid
(741 missing values generated)

. xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73 ) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIV
> X)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
      _Istateicps_2 |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
      _Istateicps_3 |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
      _Istateicps_4 |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
      _Istateicps_5 |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
      _Istateicps_6 |   1.057225   .3504723     3.02   0.003      .370312    1.744138
     _Istateicps_11 |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
     _Istateicps_12 |    -.17893    .221375    -0.81   0.419     -.612817     .254957
     _Istateicps_13 |    .631846    .265768     2.38   0.017     .1109504    1.152742
     _Istateicps_14 |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
     _Istateicps_21 |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
     _Istateicps_22 |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
     _Istateicps_23 |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
     _Istateicps_24 |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
     _Istateicps_25 |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
     _Istateicps_41 |    .366587    .254237     1.44   0.149    -.1317085    .8648824
     _Istateicps_42 |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
     _Istateicps_43 |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
     _Istateicps_44 |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
     _Istateicps_45 |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
     _Istateicps_46 |   .7896323   .2820737     2.80   0.005      .236778    1.342487
     _Istateicps_47 |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
     _Istateicps_48 |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
     _Istateicps_49 |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
     _Istateicps_51 |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
     _Istateicps_52 |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
     _Istateicps_53 |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
     _Istateicps_54 |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
     _Istateicps_56 |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
     _Istateicps_61 |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
     _Istateicps_64 |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
     _Istateicps_65 |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
     _Istateicps_66 |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
     _Istateicps_67 |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
     _Istateicps_72 |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
     _Istateicps_73 |   .6408049    .282687     2.27   0.023     .0867487    1.194861
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         predict e_iv4  if e(sample) == 1, resid
(741 missing values generated)

.         
. for VAR in any ols1 ols2 ols3 ols4 iv1 iv2 iv3 iv4: gen s_VAR = e_VAR * iAGRI_PF

->  gen s_ols1 = e_ols1 * iAGRI_PF
(48 missing values generated)

->  gen s_ols2 = e_ols2 * iAGRI_PF
(741 missing values generated)

->  gen s_ols3 = e_ols3 * iAGRI_PF
(741 missing values generated)

->  gen s_ols4 = e_ols4 * iAGRI_PF
(741 missing values generated)

->  gen s_iv1 = e_iv1 * iAGRI_PF
(48 missing values generated)

->  gen s_iv2 = e_iv2 * iAGRI_PF
(741 missing values generated)

->  gen s_iv3 = e_iv3 * iAGRI_PF
(741 missing values generated)

->  gen s_iv4 = e_iv4 * iAGRI_PF
(741 missing values generated)

. 
. foreach cut in 200 400 600 800  1000 {  
  2.         moransi e_ols1, lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
  3.                 local moran_ols1 = r(pI)
  4.         moransi e_ols2, lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
  5.                 local moran_ols2 = r(pI)
  6.         moransi e_ols3, lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
  7.                 local moran_ols3 = r(pI)
  8.         moransi e_ols4, lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
  9.                 local moran_ols4 = r(pI)
 10.         moransi e_iv1 , lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
 11.                 local moran_iv1  = r(pI)
 12.         moransi e_iv2 , lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
 13.                 local moran_iv2  = r(pI)
 14.         moransi e_iv3 , lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
 15.                 local moran_iv3  = r(pI)
 16.         moransi e_iv4 , lon(lonx_nd) lat(latx_nd) swm(bin) dist(`cut') dunit(km) approx detail
 17.                 local moran_iv4  = r(pI)
 18.                 
.         preserve
 19.                 clear
 20.                 set obs 1
 21.                 gen Bandwidth = "`cut' km"
 22. 
.                 foreach var in ols1 ols2 ols3 ols4 iv1 iv2 iv3 iv4 {
 23.                         gen moran_`var' = `moran_`var''/2
 24.                         format moran_`var' %9.4f
 25.                 } /* foreach var */
 26. 
.                 save "tmp/moransi_`cut'", replace
 27.         restore
 28. } /* foreach cut */
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols1 |    0.03893     -0.00033      0.00389     10.08061      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols2 |    0.14860     -0.00043      0.00459     32.49344      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols3 |    0.01318     -0.00043      0.00453      3.00160      0.00269 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols4 |    0.05910     -0.00043      0.00457     13.02824      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv1 |    0.02323     -0.00033      0.00390      6.04952      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv2 |    0.14001     -0.00043      0.00459     30.61108      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv3 |    0.01976     -0.00043      0.00454      4.44723      0.00001 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        200
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv4 |    0.06036     -0.00043      0.00458     13.28083      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
number of observations (_N) was 0, now 1
file tmp/moransi_200.dta saved
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols1 |    0.00172     -0.00033      0.00196      1.04744      0.29490 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols2 |    0.03300     -0.00043      0.00237     14.11565      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols3 |   -0.00535     -0.00043      0.00234     -2.10056      1.96432 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols4 |    0.01604     -0.00043      0.00236      6.97979      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv1 |   -0.00394     -0.00033      0.00196     -1.84398      1.93481 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv2 |    0.01790     -0.00043      0.00237      7.73835      0.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv3 |   -0.00549     -0.00043      0.00234     -2.15771      1.96905 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        400
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv4 |    0.00641     -0.00043      0.00236      2.89259      0.00382 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
number of observations (_N) was 0, now 1
file tmp/moransi_400.dta saved
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols1 |   -0.00225     -0.00033      0.00131     -1.46529      1.85716 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols2 |   -0.00325     -0.00043      0.00162     -1.74155      1.91841 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols3 |   -0.00530     -0.00043      0.00160     -3.04254      1.99765 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols4 |    0.00228     -0.00043      0.00161      1.68028      0.09290 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv1 |   -0.00424     -0.00033      0.00131     -2.98593      1.99717 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv2 |   -0.01228     -0.00043      0.00162     -7.32408      2.00000 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv3 |   -0.00596     -0.00043      0.00160     -3.45025      1.99944 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        600
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv4 |   -0.00596     -0.00043      0.00162     -3.42498      1.99939 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
number of observations (_N) was 0, now 1
file tmp/moransi_600.dta saved
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols1 |   -0.00165     -0.00033      0.00096     -1.36976      1.82924 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols2 |   -0.00497     -0.00043      0.00121     -3.73817      1.99981 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols3 |   -0.00251     -0.00043      0.00120     -1.73077      1.91651 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols4 |   -0.00108     -0.00043      0.00121     -0.54097      1.41147 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv1 |   -0.00302     -0.00033      0.00096     -2.80283      1.99493 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv2 |   -0.00495     -0.00043      0.00121     -3.72226      1.99980 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv3 |   -0.00341     -0.00043      0.00120     -2.48187      1.98693 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):        800
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv4 |   -0.00376     -0.00043      0.00121     -2.75252      1.99409 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
number of observations (_N) was 0, now 1
file tmp/moransi_800.dta saved
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols1 |   -0.00146     -0.00033      0.00074     -1.52081      1.87169 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols2 |   -0.00036     -0.00043      0.00096      0.07329      0.94157 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols3 |   -0.00356     -0.00043      0.00095     -3.29039      1.99900 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
      e_ols4 |   -0.00217     -0.00043      0.00096     -1.81167      1.92996 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     3022
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     4564731    1359.240      799.725       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     3022 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv1 |   -0.00175     -0.00033      0.00074     -1.91544      1.94456 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv2 |   -0.00152     -0.00043      0.00096     -1.13512      1.74368 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv3 |   -0.00420     -0.00043      0.00095     -3.95617      1.99992 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
Size of spatial weight matrix:     2329
Calculating bilateral distance...
Calculating spatial weight matrix...

Distance by simplified version of Vincenty formula (unit: km)
----------------------------------------------------------------------------- 
             |        Obs.        Mean         S.D.         Min.         Max.
-------------+--------------------------------------------------------------- 
    Distance |     2710956    1396.612      919.685       12.369     4567.713
----------------------------------------------------------------------------- 
Distance threshold (unit: km):       1000
-----------------------------------------------------------------------------

Moran's I Statistic                                  Number of Obs =     2329 
----------------------------------------------------------------------------- 
    Variable |  Moran's I         E(I)        SE(I)         Z(I)      p-value 
-------------+--------------------------------------------------------------- 
       e_iv4 |   -0.00312     -0.00043      0.00096     -2.80394      1.99495 
----------------------------------------------------------------------------- 
Null Hypothesis: Spatial Randomization
number of observations (_N) was 0, now 1
file tmp/moransi_1000.dta saved

. 
. preserve

.         clear

.         foreach cut in 200 400 600 800 1000 {   
  2.                 append using "tmp/moransi_`cut'"
  3.         } /* foreach cut */
(note: variable Bandwidth was str6, now str7 to accommodate using data's values)

.         lab var Bandwidth  "Bandwidth"

.         lab var moran_ols1 "Warbonds"

.         lab var moran_ols2 "Volunteers"

.         lab var moran_ols3 "Medals"

.         lab var moran_ols4 "PCA"

.         lab var moran_iv1 "Warbonds"

.         lab var moran_iv2 "Volunteers"

.         lab var moran_iv3 "Medals"

.         lab var moran_iv4 "PCA"

. 
.         replace moran_ols1 = round(moran_ols1, 0.0001)
(4 real changes made)

.         replace moran_ols2 = round(moran_ols2, 0.0001)
(3 real changes made)

.         replace moran_ols3 = round(moran_ols3, 0.0001)
(5 real changes made)

.         replace moran_ols4 = round(moran_ols4, 0.0001)
(4 real changes made)

. 
.         replace moran_iv1 = round(moran_iv1, 0.0001)
(5 real changes made)

.         replace moran_iv2 = round(moran_iv2, 0.0001)
(3 real changes made)

.         replace moran_iv3 = round(moran_iv3, 0.0001)
(5 real changes made)

.         replace moran_iv4 = round(moran_iv4, 0.0001)
(4 real changes made)

. 
.         format moran_* %9.4f

. 
.         tostring moran*, force replace
moran_ols1 was float now str11
moran_ols1 was forced to string; some loss of information
moran_ols2 was float now str11
moran_ols2 was forced to string; some loss of information
moran_ols3 was float now str11
moran_ols3 was forced to string; some loss of information
moran_ols4 was float now str11
moran_ols4 was forced to string; some loss of information
moran_iv1 was float now str11
moran_iv1 was forced to string; some loss of information
moran_iv2 was float now str11
moran_iv2 was forced to string; some loss of information
moran_iv3 was float now str11
moran_iv3 was forced to string; some loss of information
moran_iv4 was float now str11
moran_iv4 was forced to string; some loss of information

.         
.         foreach var in moran_ols1 moran_ols2 moran_ols3 moran_ols4 moran_iv1 moran_iv2 moran_iv3 moran_iv4{
  2.                 replace `var' = "1.0000" if `var' == "1"
  3.                 replace `var' = "0.0000" if `var' == "0"
  4.                 replace `var' = "0" + `var' if strpos(`var', ".") == 1 
  5.                 replace `var' = substr(`var',1,6)
  6.         }
(0 real changes made)
(1 real change made)
variable moran_ols1 was str11 now str12
(4 real changes made)
(4 real changes made)
(0 real changes made)
(2 real changes made)
variable moran_ols2 was str11 now str12
(3 real changes made)
(3 real changes made)
(0 real changes made)
(0 real changes made)
variable moran_ols3 was str11 now str12
(5 real changes made)
(4 real changes made)
(0 real changes made)
(2 real changes made)
variable moran_ols4 was str11 now str12
(3 real changes made)
(3 real changes made)
(0 real changes made)
(1 real change made)
variable moran_iv1 was str11 now str12
(4 real changes made)
(4 real changes made)
(1 real change made)
(2 real changes made)
variable moran_iv2 was str11 now str12
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
variable moran_iv3 was str11 now str12
(3 real changes made)
(3 real changes made)
(0 real changes made)
(1 real change made)
variable moran_iv4 was str11 now str12
(4 real changes made)
(3 real changes made)

.         texsave using "results/tables/AppTab11A_moran", replace frag varlab

. restore

. 
. ***************************************************************************************************     
. ****                 Panel B. Conley s.e.                                                              ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg   iwarbond_1944_PC     iAGRI_PF                                  $control if sample_ols == 1                      , r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      97.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6687
                                                Root MSE          =     .39339

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0141484    11.52   0.000     .1352388    .1907222
         ww1_vol_sh |  -.0034661   .0356608    -0.10   0.923    -.0733885    .0664563
ww1_awards_pop10_is |   .2278298   .0834635     2.73   0.006     .0641773    .3914823
             lpop30 |  -.0196992   .0256811    -0.77   0.443    -.0700539    .0306555
           c30unemp |  -.3969034    .261674    -1.52   0.129     -.909985    .1161782
          c30urban1 |   .0341968   .0246873     1.39   0.166    -.0142093    .0826029
            c30farm |  -.5369548    .124902    -4.30   0.000    -.7818586   -.2920511
            iYf_T29 |   .0545721   .0197713     2.76   0.006     .0158051     .093339
           MEAN9628 |   .0018992   .0009269     2.05   0.041     .0000817    .0037167
             c30men |  -1.208349   .7715966    -1.57   0.117     -2.72127    .3045715
           c30black |  -.2788324    .086972    -3.21   0.001    -.4493643   -.1083006
             c30jap |   5.155809   2.017139     2.56   0.011     1.200671    9.110947
             c30deu |   .6686746   .1792804     3.73   0.000     .3171476    1.020202
             c30ita |  -.2307047   .5828297    -0.40   0.692    -1.373498    .9120883
             c30vet |  -.0487409   1.029123    -0.05   0.962    -2.066611    1.969129
           lc40wage |   .4648431    .056188     8.27   0.000     .3546716    .5750146
      iwarconpro_PC |   .2779728   .0223391    12.44   0.000      .234171    .3217745
      _Istateicps_2 |  -.0112314   .1494834    -0.08   0.940    -.3043334    .2818706
      _Istateicps_3 |  -.1671985   .1386839    -1.21   0.228    -.4391253    .1047283
      _Istateicps_4 |   .0319799   .1823873     0.18   0.861     -.325639    .3895987
      _Istateicps_5 |   -.287031   .3847282    -0.75   0.456    -1.041393    .4673312
      _Istateicps_6 |   .0632551   .1372149     0.46   0.645    -.2057914    .3323015
     _Istateicps_11 |   .2953927   .1646963     1.79   0.073    -.0275384    .6183238
     _Istateicps_12 |  -.0684945   .1301771    -0.53   0.599    -.3237414    .1867523
     _Istateicps_13 |   .0725467   .1147227     0.63   0.527    -.1523978    .2974911
     _Istateicps_14 |   .1201342   .1190985     1.01   0.313    -.1133902    .3536586
     _Istateicps_21 |   .1057907   .1212251     0.87   0.383    -.1319035    .3434849
     _Istateicps_22 |   .0432751   .1214429     0.36   0.722    -.1948461    .2813962
     _Istateicps_23 |   .0249717   .1227549     0.20   0.839     -.215722    .2656654
     _Istateicps_24 |  -.0012449   .1204611    -0.01   0.992     -.237441    .2349512
     _Istateicps_25 |   .0574388   .1280839     0.45   0.654    -.1937038    .3085815
     _Istateicps_31 |   .5499366   .1269666     4.33   0.000     .3009848    .7988884
     _Istateicps_32 |   .4226583   .1299297     3.25   0.001     .1678965      .67742
     _Istateicps_33 |    .372044     .13055     2.85   0.004      .116066     .628022
     _Istateicps_34 |   .0395638   .1230358     0.32   0.748    -.2016806    .2808082
     _Istateicps_35 |   .5272082   .1299634     4.06   0.000     .2723802    .7820361
     _Istateicps_36 |   .5953787   .1472992     4.04   0.000     .3065595     .884198
     _Istateicps_37 |   .3701488   .1329204     2.78   0.005     .1095228    .6307747
     _Istateicps_40 |   .0992902   .1327178     0.75   0.454    -.1609384    .3595187
     _Istateicps_41 |   .0187536    .129861     0.14   0.885    -.2358736    .2733807
     _Istateicps_42 |  -.3233064   .1368954    -2.36   0.018    -.5917263   -.0548864
     _Istateicps_43 |   .0188175   .1468123     0.13   0.898    -.2690471    .3066821
     _Istateicps_44 |  -.1593528   .1325751    -1.20   0.229    -.4193017     .100596
     _Istateicps_45 |  -.2314598    .136488    -1.70   0.090    -.4990808    .0361613
     _Istateicps_46 |  -.0089986   .1378238    -0.07   0.948     -.279239    .2612418
     _Istateicps_47 |  -.0707111   .1298129    -0.54   0.586    -.3252438    .1838216
     _Istateicps_48 |  -.3636704   .1480086    -2.46   0.014    -.6538807   -.0734601
     _Istateicps_49 |   .1081912   .1307853     0.83   0.408    -.1482482    .3646306
     _Istateicps_51 |  -.2472767   .1253798    -1.97   0.049    -.4931171   -.0014362
     _Istateicps_52 |  -.0686927   .1532397    -0.45   0.654    -.3691599    .2317746
     _Istateicps_53 |   .1123506   .1318472     0.85   0.394     -.146171    .3708722
     _Istateicps_54 |  -.1235242   .1267943    -0.97   0.330    -.3721382    .1250897
     _Istateicps_56 |  -.0422976   .1271313    -0.33   0.739    -.2915724    .2069772
     _Istateicps_61 |   .0702502   .1580846     0.44   0.657    -.2397168    .3802171
     _Istateicps_62 |   .1182808   .1354343     0.87   0.383    -.1472743    .3838358
     _Istateicps_63 |   .1841829   .1512284     1.22   0.223    -.1123408    .4807065
     _Istateicps_64 |   .6090193    .143926     4.23   0.000      .326814    .8912245
     _Istateicps_65 |   .1762924   .1934833     0.91   0.362    -.2030832     .555668
     _Istateicps_66 |  -.1742881   .1541775    -1.13   0.258    -.4765943     .128018
     _Istateicps_67 |  -.0555764   .1420504    -0.39   0.696     -.334104    .2229512
     _Istateicps_68 |   .3751607   .1616376     2.32   0.020     .0582271    .6920944
     _Istateicps_71 |   .1442228   .1358197     1.06   0.288    -.1220879    .4105335
     _Istateicps_72 |   .5858306   .1382261     4.24   0.000     .3148014    .8568597
     _Istateicps_73 |     .46261     .16418     2.82   0.005     .1406913    .7845287
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138    .587674     2.10   0.036     .0790886    2.383672
-------------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b11 = string(e(b)[1,1], "%9.3f")

. local se11 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 11s = string(2*ttail(e(df_r),abs(`p')), "%9.3f")

. local se11n = 2*ttail(e(df_r),abs(`p'))

. if `se11n' < .01{
.         local st11 = "$^{***}$"
. }

. if `se11n' < .05 & `se11n' > .01{
.         local st11 = "$^{**}$"
. }

. if `se11n' < .1 & `se11n' > .05{
.         local st11 = "$^{*}$"
. }

. 
. local n11 =  string(e(N))

. 
. estimates clear

. eststo: xi:  reg   ww2_vol_pop40        iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      73.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6233
                                                Root MSE          =     .21229

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0073847     4.98   0.000     .0222585    .0512215
         ww1_vol_sh |   .1099746   .0263232     4.18   0.000     .0583545    .1615947
ww1_awards_pop10_is |   .1261255   .1003664     1.26   0.209    -.0706939    .3229449
             lpop30 |  -.0125949   .0110375    -1.14   0.254    -.0342395    .0090497
           c30unemp |   .6094068   .2050481     2.97   0.003     .2073058    1.011508
          c30urban1 |   .0070253   .0128933     0.54   0.586    -.0182587    .0323092
            c30farm |  -.0861848   .0550115    -1.57   0.117    -.1940628    .0216932
            iYf_T29 |  -.0283905   .0116755    -2.43   0.015    -.0512863   -.0054947
           MEAN9628 |  -.0003738   .0005332    -0.70   0.483    -.0014194    .0006719
             c30men |  -1.264086   .5145448    -2.46   0.014    -2.273113   -.2550597
           c30black |   -.433984   .0374408   -11.59   0.000    -.5074057   -.3605623
             c30jap |    .735138   1.237742     0.59   0.553    -1.692084     3.16236
             c30deu |  -.7111557    .152931    -4.65   0.000    -1.011055   -.4112567
             c30ita |   -.234159   .2365792    -0.99   0.322    -.6980928    .2297748
             c30vet |   1.116889   .3187849     3.50   0.000     .4917489    1.742029
           lc40wage |   .2101183   .0330775     6.35   0.000      .145253    .2749836
      iwarconpro_PC |  -.0339349   .0077829    -4.36   0.000    -.0491973   -.0186726
      _Istateicps_2 |   .0041405   .0580255     0.07   0.943     -.109648    .1179289
      _Istateicps_3 |   .0339488   .0566075     0.60   0.549    -.0770588    .1449565
      _Istateicps_4 |   .2386163   .0785297     3.04   0.002     .0846189    .3926137
      _Istateicps_5 |  -.0046429   .0605038    -0.08   0.939    -.1232914    .1140056
      _Istateicps_6 |   .3041236   .0778043     3.91   0.000     .1515487    .4566985
     _Istateicps_11 |  -.1669829   .0654089    -2.55   0.011    -.2952503   -.0387155
     _Istateicps_12 |   -.090787   .0521029    -1.74   0.082    -.1929612    .0113873
     _Istateicps_13 |   .0501752   .0519044     0.97   0.334    -.0516098    .1519602
     _Istateicps_14 |  -.1909468   .0504568    -3.78   0.000    -.2898931   -.0920005
     _Istateicps_21 |   .0211005   .0548183     0.38   0.700    -.0863987    .1285997
     _Istateicps_22 |  -.0806155   .0538466    -1.50   0.134    -.1862091     .024978
     _Istateicps_23 |   -.031761   .0604973    -0.52   0.600    -.1503968    .0868748
     _Istateicps_24 |  -.0901466   .0536463    -1.68   0.093    -.1953473    .0150542
     _Istateicps_25 |   .1962322   .0643143     3.05   0.002     .0701114     .322353
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935    .055278    -2.62   0.009    -.2529941   -.0361929
     _Istateicps_41 |   .0950313   .0578243     1.64   0.100    -.0183626    .2084251
     _Istateicps_42 |  -.2260176   .0557772    -4.05   0.000    -.3353972    -.116638
     _Istateicps_43 |   .2192397   .0626405     3.50   0.000     .0964011    .3420782
     _Istateicps_44 |   .1720065   .0560542     3.07   0.002     .0620838    .2819293
     _Istateicps_45 |  -.1822926    .056014    -3.25   0.001    -.2921365   -.0724487
     _Istateicps_46 |   .1452847   .0596115     2.44   0.015      .028386    .2621833
     _Istateicps_47 |  -.0122521   .0544106    -0.23   0.822    -.1189517    .0944475
     _Istateicps_48 |   .0715918     .06013     1.19   0.234    -.0463237    .1895072
     _Istateicps_49 |   .5233502   .0583929     8.96   0.000     .4088412    .6378593
     _Istateicps_51 |    .056484   .0553432     1.02   0.308    -.0520446    .1650125
     _Istateicps_52 |  -.2913221   .0577322    -5.05   0.000    -.4045354   -.1781087
     _Istateicps_53 |   .1476366   .0583803     2.53   0.012     .0331524    .2621208
     _Istateicps_54 |   -.026899   .0564602    -0.48   0.634     -.137618      .08382
     _Istateicps_56 |   .1086773   .0599807     1.81   0.070    -.0089453    .2262999
     _Istateicps_61 |  -.4907201   .0647544    -7.58   0.000     -.617704   -.3637361
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0644867    -0.90   0.369    -.1844368     .068481
     _Istateicps_64 |    .173091   .0674786     2.57   0.010      .040765    .3054171
     _Istateicps_65 |   -.159553   .0913244    -1.75   0.081    -.3386408    .0195349
     _Istateicps_66 |   .0918128    .071701     1.28   0.201    -.0487935    .2324191
     _Istateicps_67 |  -.2062293   .0638004    -3.23   0.001    -.3313425   -.0811162
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0699624     0.07   0.942    -.1321483    .1422454
     _Istateicps_72 |  -.1516232   .0660285    -2.30   0.022    -.2811057   -.0221407
     _Istateicps_73 |   .0544429   .0659659     0.83   0.409    -.0749168    .1838026
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .3311912    -0.61   0.545    -.8500465    .4488909
-------------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b12 = string(e(b)[1,1], "%9.3f")

. local se12 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 12s = string(2*ttail(e(df_r),abs(`p')), "%9.3f")

. local se12n = 2*ttail(e(df_r),abs(`p'))

. if `se12n' < .01{
.         local st12 = "$^{***}$"
. }

. if `se12n' < .05 & `se12n' > .01{
.         local st12 = "$^{**}$"
. }

. if `se12n' < .1 & `se12n' > .05{
.         local st12 = "$^{*}$"
. }

. 
. local n12 = string(e(N))

. 
. estimates clear

. eststo: xi:  reg   ww2_awards_pop40_is  iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      12.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1872
                                                Root MSE          =     .11646

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0038028     3.46   0.001     .0057139    .0206285
         ww1_vol_sh |   .0564202   .0208676     2.70   0.007     .0154987    .0973418
ww1_awards_pop10_is |   .0349864   .0339162     1.03   0.302    -.0315237    .1014964
             lpop30 |  -.0173645   .0134171    -1.29   0.196    -.0436756    .0089466
           c30unemp |   .1527126   .1546671     0.99   0.324    -.1505908     .456016
          c30urban1 |   .0057236    .006182     0.93   0.355    -.0063993    .0178466
            c30farm |     .02803   .0257444     1.09   0.276    -.0224551     .078515
            iYf_T29 |   .0128969    .009741     1.32   0.186    -.0062052     .031999
           MEAN9628 |  -.0000696   .0003341    -0.21   0.835    -.0007248    .0005856
             c30men |  -.5458902   .2482677    -2.20   0.028    -1.032745   -.0590352
           c30black |  -.0502053   .0211631    -2.37   0.018    -.0917063   -.0087043
             c30jap |   .8842438   1.328231     0.67   0.506    -1.720428    3.488915
             c30deu |   .0555887   .1230038     0.45   0.651    -.1856227    .2968002
             c30ita |  -.0096405   .1711482    -0.06   0.955    -.3452635    .3259824
             c30vet |   .2707406   .1087542     2.49   0.013     .0574727    .4840084
           lc40wage |   .0564545   .0194359     2.90   0.004     .0183406    .0945684
      iwarconpro_PC |   .0048563    .004565     1.06   0.288    -.0040957    .0138084
      _Istateicps_2 |  -.0249839    .032068    -0.78   0.436    -.0878695    .0379017
      _Istateicps_3 |  -.0025937   .0225675    -0.11   0.909    -.0468487    .0416614
      _Istateicps_4 |  -.0258903   .0382771    -0.68   0.499    -.1009521    .0491714
      _Istateicps_5 |   .0585332   .0554012     1.06   0.291    -.0501089    .1671754
      _Istateicps_6 |  -.0237489   .0392838    -0.60   0.546    -.1007847    .0532869
     _Istateicps_11 |  -.0441544   .0266785    -1.66   0.098    -.0964712    .0081624
     _Istateicps_12 |  -.0367685   .0233274    -1.58   0.115    -.0825137    .0089767
     _Istateicps_13 |  -.0040381   .0220164    -0.18   0.854    -.0472125    .0391364
     _Istateicps_14 |  -.0291064   .0229636    -1.27   0.205    -.0741383    .0159254
     _Istateicps_21 |  -.0436119   .0297964    -1.46   0.143    -.1020429     .014819
     _Istateicps_22 |  -.0667818   .0296122    -2.26   0.024    -.1248516   -.0087121
     _Istateicps_23 |  -.0375624   .0341324    -1.10   0.271    -.1044964    .0293716
     _Istateicps_24 |  -.0226088   .0286082    -0.79   0.429    -.0787097    .0334921
     _Istateicps_25 |  -.0741215   .0433693    -1.71   0.088    -.1591691    .0109261
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949    .026309    -0.82   0.410    -.0732871    .0298973
     _Istateicps_41 |  -.0282889   .0248453    -1.14   0.255    -.0770107    .0204329
     _Istateicps_42 |  -.0404452   .0248006    -1.63   0.103    -.0890794     .008189
     _Istateicps_43 |   .0096145   .0340751     0.28   0.778    -.0572072    .0764361
     _Istateicps_44 |    -.03822   .0257361    -1.49   0.138    -.0886886    .0122487
     _Istateicps_45 |  -.0312308   .0248203    -1.26   0.208    -.0799035     .017442
     _Istateicps_46 |   .0001286   .0265237     0.00   0.996    -.0518846    .0521418
     _Istateicps_47 |  -.0395406    .024187    -1.63   0.102    -.0869716    .0078903
     _Istateicps_48 |  -.0235965   .0265572    -0.89   0.374    -.0756755    .0284825
     _Istateicps_49 |   .0013643   .0245947     0.06   0.956    -.0468662    .0495948
     _Istateicps_51 |  -.0287306   .0252181    -1.14   0.255    -.0781835    .0207224
     _Istateicps_52 |  -.0279878   .0351016    -0.80   0.425    -.0968222    .0408467
     _Istateicps_53 |  -.0133041   .0255904    -0.52   0.603    -.0634871    .0368788
     _Istateicps_54 |  -.0303913   .0244789    -1.24   0.215    -.0783945    .0176119
     _Istateicps_56 |  -.0145483   .0263814    -0.55   0.581    -.0662824    .0371858
     _Istateicps_61 |   .0282924   .0406218     0.70   0.486    -.0513674    .1079521
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0430456     0.17   0.864    -.0770225     .091803
     _Istateicps_64 |   .1184136   .0465794     2.54   0.011      .027071    .2097562
     _Istateicps_65 |   .0104794   .0623777     0.17   0.867    -.1118438    .1328025
     _Istateicps_66 |  -.0050731    .031455    -0.16   0.872    -.0667566    .0566104
     _Istateicps_67 |   .0111529    .041947     0.27   0.790    -.0711056    .0934114
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0546026     1.21   0.227    -.0410431    .1731091
     _Istateicps_72 |   -.012919   .0394358    -0.33   0.743    -.0902529    .0644149
     _Istateicps_73 |   .0276688   .0369424     0.75   0.454    -.0447756    .1001132
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1845578     0.29   0.771    -.3082636     .415575
-------------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b13 = string(e(b)[1,1], "%9.3f")

. local se13 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 13s = string(2*ttail(e(df_r),abs(`p')), "%9.3f")

. local se13n = 2*ttail(e(df_r),abs(`p'))

. if `se13n' < .01{
.         local st13 = "$^{***}$"
. }

. if `se13n' < .05 & `se13n' > .01{
.         local st13 = "$^{**}$"
. }

. if `se13n' < .1 & `se13n' > .05{
.         local st13 = "$^{*}$"
. }

. 
. local n13 =  string(e(N))

. 
. estimates clear

. eststo: xi:  reg   pc1                              iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 
> 7, r 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =     104.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6531
                                                Root MSE          =     .74919

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0258664     9.02   0.000     .1826752    .2841238
         ww1_vol_sh |   .4505476   .1169393     3.85   0.000     .2212286    .6798666
ww1_awards_pop10_is |   .5719262   .2683074     2.13   0.033     .0457731    1.098079
             lpop30 |  -.1484064   .0695116    -2.13   0.033    -.2847193   -.0120936
           c30unemp |   1.605957   .8875824     1.81   0.071     -.134599    3.346514
          c30urban1 |   .1167555   .0421121     2.77   0.006     .0341732    .1993377
            c30farm |  -.4338444   .1806466    -2.40   0.016    -.7880939   -.0795949
            iYf_T29 |   .0609448   .0555964     1.10   0.273    -.0480802    .1699698
           MEAN9628 |   .0022342   .0019838     1.13   0.260     -.001656    .0061244
             c30men |  -6.462308   1.482359    -4.36   0.000    -9.369225    -3.55539
           c30black |  -1.176993   .1426673    -8.25   0.000    -1.456765   -.8972209
             c30jap |   11.08854   6.988664     1.59   0.113    -2.616291    24.79337
             c30deu |  -.0658039   .6774689    -0.10   0.923    -1.394326    1.262718
             c30ita |  -.4954921   1.112829    -0.45   0.656    -2.677759    1.686774
             c30vet |   3.894608   .7907039     4.93   0.000     2.344031    5.445185
           lc40wage |   1.038707   .1272779     8.16   0.000     .7891143      1.2883
      iwarconpro_PC |   .2327704   .0314721     7.40   0.000     .1710535    .2944874
      _Istateicps_2 |    -.11426      .2179    -0.52   0.600    -.5415637    .3130438
      _Istateicps_3 |  -.0770539   .2139167    -0.36   0.719    -.4965463    .3424385
      _Istateicps_4 |   .3082856   .2828381     1.09   0.276    -.2463622    .8629334
      _Istateicps_5 |  -.0608687   .4784817    -0.13   0.899    -.9991753    .8774378
      _Istateicps_6 |   .4949421   .2744667     1.80   0.071    -.0432894    1.033174
     _Istateicps_11 |  -.1571952   .2045424    -0.77   0.442    -.5583046    .2439142
     _Istateicps_12 |  -.3657503   .1889731    -1.94   0.053    -.7363281    .0048274
     _Istateicps_13 |   .1356128   .1783253     0.76   0.447    -.2140845    .4853102
     _Istateicps_14 |  -.3224387    .183171    -1.76   0.078    -.6816385     .036761
     _Istateicps_21 |  -.0250645   .2091917    -0.12   0.905     -.435291    .3851621
     _Istateicps_22 |  -.3653847    .209128    -1.75   0.081    -.7754863     .044717
     _Istateicps_23 |  -.1593275   .2336472    -0.68   0.495    -.6175115    .2988565
     _Istateicps_24 |  -.2352151    .205795    -1.14   0.253    -.6387807    .1683505
     _Istateicps_25 |   .0749767   .2679508     0.28   0.780     -.450477    .6004304
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .2059168    -1.18   0.238    -.6467691    .1608401
     _Istateicps_41 |   .0767307   .2006791     0.38   0.702    -.3168027    .4702642
     _Istateicps_42 |  -.8293752    .203515    -4.08   0.000     -1.22847   -.4302807
     _Istateicps_43 |     .40108   .2424008     1.65   0.098      -.07427    .8764299
     _Istateicps_44 |  -.0016264   .2026463    -0.01   0.994    -.3990175    .3957646
     _Istateicps_45 |   -.654698   .2007435    -3.26   0.001    -1.048358   -.2610383
     _Istateicps_46 |   .2102797   .2114128     0.99   0.320    -.2043026    .6248619
     _Istateicps_47 |  -.2329315   .1983682    -1.17   0.240    -.6219333    .1560702
     _Istateicps_48 |  -.3283592    .211657    -1.55   0.121    -.7434202    .0867019
     _Istateicps_49 |   .9989503   .2019692     4.95   0.000     .6028871    1.395014
     _Istateicps_51 |  -.2027824   .1991266    -1.02   0.309    -.5932713    .1877065
     _Istateicps_52 |  -.6443716   .2537462    -2.54   0.011     -1.14197   -.1467732
     _Istateicps_53 |   .3266428   .2008401     1.63   0.104    -.0672063    .7204919
     _Istateicps_54 |  -.2498932   .1972106    -1.27   0.205    -.6366248    .1368384
     _Istateicps_56 |   .0839127   .2086388     0.40   0.688    -.3252297     .493055
     _Istateicps_61 |   -.640051   .2717158    -2.36   0.019    -1.172888   -.1072141
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2649316     0.41   0.682    -.4108931    .6281729
     _Istateicps_64 |    1.36512   .2691654     5.07   0.000     .8372839    1.892955
     _Istateicps_65 |  -.0745165   .4119031    -0.18   0.856    -.8822619     .733229
     _Istateicps_66 |   .0026817   .2625794     0.01   0.992    -.5122386     .517602
     _Istateicps_67 |  -.3375948    .273391    -1.23   0.217    -.8737168    .1985273
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .3140406     1.37   0.172    -.1869327     1.04474
     _Istateicps_72 |   .2000608   .2544606     0.79   0.432    -.2989385    .6990601
     _Istateicps_73 |   .6304132   .2776316     2.27   0.023     .0859754    1.174851
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.176859    -3.60   0.000    -6.540944   -1.925285
-------------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b14 = string(e(b)[1,1], "%9.3f")

. local se14 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 14s = string(2*ttail(e(df_r),abs(`p')), "%9.3f")

. local se14n = 2*ttail(e(df_r),abs(`p'))

. if `se14n' < .01{
.         local st14 = "$^{***}$"
. }

. if `se14n' < .05 & `se14n' > .01{
.         local st14 = "$^{**}$"
. }

. if `se14n' < .1 & `se14n' > .05{
.         local st14 = "$^{*}$"
. }

. 
. local n14 =  string(e(N))

. 
. estimates clear

. eststo: xi: ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1                      , cluster(C
> LIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
      _Istateicps_2 |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
      _Istateicps_3 |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
      _Istateicps_4 |    .273926   .1205731     2.27   0.023      .037607    .5102449
      _Istateicps_5 |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
      _Istateicps_6 |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
     _Istateicps_11 |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
     _Istateicps_12 |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
     _Istateicps_13 |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
     _Istateicps_14 |   .3265672   .0979723     3.33   0.001      .134545    .5185893
     _Istateicps_21 |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
     _Istateicps_22 |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
     _Istateicps_23 |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
     _Istateicps_24 |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
     _Istateicps_25 |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
     _Istateicps_31 |   .3896854   .1088369     3.58   0.000      .176369    .6030017
     _Istateicps_32 |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
     _Istateicps_33 |     .28514   .1104375     2.58   0.010     .0686866    .5015935
     _Istateicps_34 |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
     _Istateicps_35 |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
     _Istateicps_36 |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
     _Istateicps_37 |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
     _Istateicps_40 |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
     _Istateicps_41 |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
     _Istateicps_42 |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
     _Istateicps_43 |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
     _Istateicps_44 |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
     _Istateicps_45 |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
     _Istateicps_46 |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
     _Istateicps_47 |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
     _Istateicps_48 |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
     _Istateicps_49 |    .026546    .116572     0.23   0.820     -.201931     .255023
     _Istateicps_51 |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
     _Istateicps_52 |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
     _Istateicps_53 |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
     _Istateicps_54 |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
     _Istateicps_56 |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
     _Istateicps_61 |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
     _Istateicps_62 |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
     _Istateicps_63 |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
     _Istateicps_64 |    .443744   .1256613     3.53   0.000     .1974523    .6900356
     _Istateicps_65 |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
     _Istateicps_66 |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
     _Istateicps_67 |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
     _Istateicps_68 |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
     _Istateicps_71 |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
     _Istateicps_72 |     .55665   .1067046     5.22   0.000     .3475129    .7657871
     _Istateicps_73 |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b15 = string(e(b)[1,1], "%9.3f")

. local se15 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 15s = string(2*ttail(e(Fdf2),abs(`p')), "%9.3f")

. local se15n = 2*ttail(e(Fdf2),abs(`p'))

. if `se15n' < .01{
.         local st15 = "$^{***}$"
. }

. if `se15n' < .05 & `se15n' > .01{
.         local st15 = "$^{**}$"
. }

. if `se15n' < .1 & `se15n' > .05{
.         local st15 = "$^{*}$"
. }

. 
. local n15 =  string(e(N))

. 
. estimates clear

. eststo: xi: ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(C
> LIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
      _Istateicps_2 |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
      _Istateicps_3 |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
      _Istateicps_4 |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
      _Istateicps_5 |    .043889    .071236     0.62   0.538    -.0957311    .1835091
      _Istateicps_6 |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
     _Istateicps_11 |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
     _Istateicps_12 |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
     _Istateicps_13 |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
     _Istateicps_14 |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
     _Istateicps_21 |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
     _Istateicps_22 |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
     _Istateicps_23 |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
     _Istateicps_24 |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
     _Istateicps_25 |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
     _Istateicps_41 |    .168629   .0941446     1.79   0.073     -.015891     .353149
     _Istateicps_42 |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
     _Istateicps_43 |    .359333   .1030183     3.49   0.000     .1574208    .5612453
     _Istateicps_44 |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
     _Istateicps_45 |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
     _Istateicps_46 |   .2923887   .0978264     2.99   0.003     .1006525     .484125
     _Istateicps_47 |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
     _Istateicps_48 |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
     _Istateicps_49 |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
     _Istateicps_51 |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
     _Istateicps_52 |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
     _Istateicps_53 |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
     _Istateicps_54 |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
     _Istateicps_56 |   .3277989    .117535     2.79   0.005     .0974344    .5581633
     _Istateicps_61 |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
     _Istateicps_64 |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
     _Istateicps_65 |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
     _Istateicps_66 |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
     _Istateicps_67 |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
     _Istateicps_72 |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
     _Istateicps_73 |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b16 = string(e(b)[1,1], "%9.3f")

. local se16 = string(sqrt(e(V)[1,1]), "%9.3f")

. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local 16s = string(2*ttail(e(Fdf2),abs(`p')), "%9.3f")

. local se16n = 2*ttail(e(Fdf2),abs(`p'))

. 
. if `se16n' < .01{
.         local st16 = "$^{***}$"
. }

. if `se16n' < .05 & `se16n' > .01{
.         local st16 = "$^{**}$"
. }

. if `se16n' < .1 & `se16n' > .05{
.         local st16 = "$^{*}$"
. }

. 
. local n16 = string(e(N))

. 
. estimates clear

. eststo: xi: ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(C
> LIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
      _Istateicps_2 |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
      _Istateicps_3 |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
      _Istateicps_4 |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
      _Istateicps_5 |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
      _Istateicps_6 |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
     _Istateicps_11 |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
     _Istateicps_12 |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
     _Istateicps_13 |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
     _Istateicps_14 |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
     _Istateicps_21 |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
     _Istateicps_22 |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
     _Istateicps_23 |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
     _Istateicps_24 |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
     _Istateicps_25 |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
     _Istateicps_41 |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
     _Istateicps_42 |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
     _Istateicps_43 |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
     _Istateicps_44 |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
     _Istateicps_45 |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
     _Istateicps_46 |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
     _Istateicps_47 |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
     _Istateicps_48 |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
     _Istateicps_49 |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
     _Istateicps_51 |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
     _Istateicps_52 |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
     _Istateicps_53 |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
     _Istateicps_54 |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
     _Istateicps_56 |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
     _Istateicps_61 |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
     _Istateicps_64 |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
     _Istateicps_65 |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
     _Istateicps_66 |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
     _Istateicps_67 |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
     _Istateicps_72 |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
     _Istateicps_73 |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b17 = string(e(b)[1,1], "%9.3f")

. local se17 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 17s = string(2*ttail(e(Fdf2),abs(`p')), "%9.3f")

. local se17n = 2*ttail(e(Fdf2),abs(`p'))

. if `se17n' < .01{
.         local st17 = "$^{***}$"
. }

. if `se17n' < .05 & `se17n' > .01{
.         local st17 = "$^{**}$"
. }

. if `se17n' < .1 & `se17n' > .05{
.         local st17 = "$^{*}$"
. }

. 
. local n17 = string(e(N))

. 
. estimates clear

. eststo: xi: ivreg2 pc1                             (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 
> 7, cluster(CLIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
      _Istateicps_2 |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
      _Istateicps_3 |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
      _Istateicps_4 |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
      _Istateicps_5 |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
      _Istateicps_6 |   1.057225   .3504723     3.02   0.003      .370312    1.744138
     _Istateicps_11 |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
     _Istateicps_12 |    -.17893    .221375    -0.81   0.419     -.612817     .254957
     _Istateicps_13 |    .631846    .265768     2.38   0.017     .1109504    1.152742
     _Istateicps_14 |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
     _Istateicps_21 |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
     _Istateicps_22 |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
     _Istateicps_23 |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
     _Istateicps_24 |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
     _Istateicps_25 |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
     _Istateicps_41 |    .366587    .254237     1.44   0.149    -.1317085    .8648824
     _Istateicps_42 |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
     _Istateicps_43 |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
     _Istateicps_44 |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
     _Istateicps_45 |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
     _Istateicps_46 |   .7896323   .2820737     2.80   0.005      .236778    1.342487
     _Istateicps_47 |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
     _Istateicps_48 |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
     _Istateicps_49 |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
     _Istateicps_51 |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
     _Istateicps_52 |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
     _Istateicps_53 |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
     _Istateicps_54 |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
     _Istateicps_56 |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
     _Istateicps_61 |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
     _Istateicps_64 |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
     _Istateicps_65 |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
     _Istateicps_66 |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
     _Istateicps_67 |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
     _Istateicps_72 |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
     _Istateicps_73 |   .6408049    .282687     2.27   0.023     .0867487    1.194861
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est1 stored)

. 
. local ts = e(b)[1,1]/sqrt(e(V)[1,1])

. 
. local b18 = string(e(b)[1,1], "%9.3f")

. local se18 = string(sqrt(e(V)[1,1]), "%9.3f")

. 
. local p = e(b)[1,1]/sqrt(e(V)[1,1])

. local 18s = string(2*ttail(e(Fdf2),abs(`p')), "%9.3f")

. local se18n = 2*ttail(e(Fdf2),abs(`p'))

. if `se18n' < .01{
.         local st18 = "$^{***}$"
. }

. if `se18n' < .05 & `se18n' > .01{
.         local st18 = "$^{**}$"
. }

. if `se18n' < .1 & `se18n' > .05{
.         local st18 = "$^{*}$"
. }

. 
. local n18 = string(e(N))

. 
. preserve

. drop if lat_nd == . | lon_nd == .
(0 observations deleted)

. local cf 200 400 600 800

. forvalues z = 1/4{
  2. local r = `z'+2
  3. local cutoff: word `z' of `cf' 
  4.         estimates clear
  5.         eststo: xi:  acreg iwarbond_1944_PC    iAGRI_PF                                   $control if sample_ols == 1                      
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett
  6. 
.         local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
  7.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
  8.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
  9. 
.         if `tmp3' < .01{
 10.                 local tmp4 = "$^{***}$"
 11.         }
 12.         if `tmp3' < .05 & `tmp3' > .01{
 13.                 local tmp4 = "$^{**}$"
 14.         }
 15.         if `tmp3' < .1 & `tmp3' > .05{
 16.                 local tmp4 = "$^{*}$"
 17.         }
 18.         
.         local se`r'1 = "[`tmp1']" + "`tmp4'"
 19.         
.         estimates clear
 20.         eststo: xi:  acreg ww2_vol_pop40       iAGRI_PF                                   $control if sample_ols == 1 & servicecommand != 7
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett
 21.         
.         local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 22.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 23.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 24. 
.         if `tmp3' < .01{
 25.                 local tmp4 = "$^{***}$"
 26.         }
 27.         if `tmp3' < .05 & `tmp3' > .01{
 28.                 local tmp4 = "$^{**}$"
 29.         }
 30.         if `tmp3' < .1 & `tmp3' > .05{
 31.                 local tmp4 = "$^{*}$"
 32.         }
 33.         
.         local se`r'2 = "[`tmp1']" + "`tmp4'"
 34.         
.         estimates clear
 35.         eststo: xi:  acreg ww2_awards_pop40_is iAGRI_PF                                   $control if sample_ols == 1 & servicecommand != 7
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett
 36.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 37.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 38.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 39. 
.         if `tmp3' < .01{
 40.                 local tmp4 = "$^{***}$"
 41.         }
 42.         if `tmp3' < .05 & `tmp3' > .01{
 43.                 local tmp4 = "$^{**}$"
 44.         }
 45.         if `tmp3' < .1 & `tmp3' > .05{
 46.                 local tmp4 = "$^{*}$"
 47.         }
 48.         
.         local se`r'3 = "[`tmp1']" + "`tmp4'"
 49.         
.         estimates clear
 50.         eststo: xi:  acreg pc1                             iAGRI_PF                                   $control if sample_ols == 1 & service
> command != 7, latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett
 51.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 52.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 53.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 54. 
.         if `tmp3' < .01{
 55.                 local tmp4 = "$^{***}$"
 56.         }
 57.         if `tmp3' < .05 & `tmp3' > .01{
 58.                 local tmp4 = "$^{**}$"
 59.         }
 60.         if `tmp3' < .1 & `tmp3' > .05{
 61.                 local tmp4 = "$^{*}$"
 62.         }
 63.         
.         local se`r'4 = "[`tmp1']" + "`tmp4'"
 64.         
.         estimates clear 
 65.         eststo: xi:  acreg iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1                      
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett 
 66.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 67.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 68.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 69. 
.         if `tmp3' < .01{
 70.                 local tmp4 = "$^{***}$"
 71.         }
 72.         if `tmp3' < .05 & `tmp3' > .01{
 73.                 local tmp4 = "$^{**}$"
 74.         }
 75.         if `tmp3' < .1 & `tmp3' > .05{
 76.                 local tmp4 = "$^{*}$"
 77.         }
 78.         
.         local se`r'5 = "[`tmp1']" + "`tmp4'"
 79.         
.         estimates clear
 80.         eststo: xi:  acreg ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett 
 81.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 82.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 83.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 84. 
.         if `tmp3' < .01{
 85.                 local tmp4 = "$^{***}$"
 86.         }
 87.         if `tmp3' < .05 & `tmp3' > .01{
 88.                 local tmp4 = "$^{**}$"
 89.         }
 90.         if `tmp3' < .1 & `tmp3' > .05{
 91.                 local tmp4 = "$^{*}$"
 92.         }
 93.         
.         local se`r'6 = "[`tmp1']" + "`tmp4'"
 94.         
.         estimates clear
 95.         eststo: xi:  acreg ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7
> , latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett 
 96.         
.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
 97.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
 98.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
 99. 
.         if `tmp3' < .01{
100.                 local tmp4 = "$^{***}$"
101.         }
102.         if `tmp3' < .05 & `tmp3' > .01{
103.                 local tmp4 = "$^{**}$"
104.         }
105.         if `tmp3' < .1 & `tmp3' > .05{
106.                 local tmp4 = "$^{*}$"
107.         }
108.         
.         local se`r'7 = "[`tmp1']" + "`tmp4'"
109. 
.         estimates clear
110.         eststo: xi:  acreg pc1                             (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & service
> command != 7, latitude(lat_nd) longitude(lon_nd)  dist( `cutoff' ) spatial bartlett 
111.                 local tmp1 = string(sqrt(e(V)[1,1]), "%9.3f")
112.         
.         local tmp2 = e(b)[1,1]/sqrt(e(V)[1,1])          
113.         local tmp3 = 2*ttail(e(Fdf2),abs(`tmp2'))
114. 
.         if `tmp3' < .01{
115.                 local tmp4 = "$^{***}$"
116.         }
117.         if `tmp3' < .05 & `tmp3' > .01{
118.                 local tmp4 = "$^{**}$"
119.         }
120.         if `tmp3' < .1 & `tmp3' > .05{
121.                 local tmp4 = "$^{*}$"
122.         }
123.         
.         local se`r'8 = "[`tmp1']" + "`tmp4'"
124.         } /* foreach cutoff */
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6687
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9932
Residual SS             =  457.6222274

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0183392     8.89   0.000     .1270364    .1989247
         ww1_vol_sh |  -.0034661   .0383881    -0.09   0.928    -.0787054    .0717732
ww1_awards_pop10_is |   .2278298   .0831293     2.74   0.006     .0648994    .3907603
             lpop30 |  -.0196992   .0279582    -0.70   0.481    -.0744962    .0350978
           c30unemp |  -.3969034   .2667935    -1.49   0.137     -.919809    .1260022
          c30urban1 |   .0341968   .0253031     1.35   0.177    -.0153963    .0837899
            c30farm |  -.5369548   .1372146    -3.91   0.000    -.8058904   -.2680192
            iYf_T29 |   .0545721   .0246374     2.22   0.027     .0062837    .1028605
           MEAN9628 |   .0018992   .0011846     1.60   0.109    -.0004226    .0042211
             c30men |  -1.208349   .8687335    -1.39   0.164    -2.911036     .494337
           c30black |  -.2788324   .0993611    -2.81   0.005    -.4735766   -.0840882
             c30jap |   5.155809   2.350276     2.19   0.028      .549352    9.762266
             c30deu |   .6686746   .2305288     2.90   0.004     .2168464    1.120503
             c30ita |  -.2307047   .6110343    -0.38   0.706     -1.42831    .9669006
             c30vet |  -.0487409   1.036661    -0.05   0.962     -2.08056    1.983078
           lc40wage |   .4648431    .063107     7.37   0.000     .3411557    .5885305
      iwarconpro_PC |   .2779728   .0248994    11.16   0.000     .2291708    .3267747
      _Istateicps_2 |  -.0112314   .1413626    -0.08   0.937    -.2882971    .2658343
      _Istateicps_3 |  -.1671985    .090588    -1.85   0.065    -.3447477    .0103506
      _Istateicps_4 |   .0319799   .1175613     0.27   0.786     -.198436    .2623957
      _Istateicps_5 |   -.287031   .1338442    -2.14   0.032    -.5493608   -.0247012
      _Istateicps_6 |   .0632551    .105399     0.60   0.548    -.1433231    .2698332
     _Istateicps_11 |   .2953927   .1148016     2.57   0.010     .0703857    .5203997
     _Istateicps_12 |  -.0684945   .0881009    -0.78   0.437    -.2411692    .1041801
     _Istateicps_13 |   .0725467   .0805337     0.90   0.368    -.0852965    .2303898
     _Istateicps_14 |   .1201342   .0880541     1.36   0.172    -.0524486     .292717
     _Istateicps_21 |   .1057907   .0901838     1.17   0.241    -.0709663    .2825476
     _Istateicps_22 |   .0432751   .0887421     0.49   0.626    -.1306563    .2172064
     _Istateicps_23 |   .0249717   .0885778     0.28   0.778    -.1486375    .1985809
     _Istateicps_24 |  -.0012449    .083178    -0.01   0.988    -.1642707    .1617809
     _Istateicps_25 |   .0574388   .1084428     0.53   0.596    -.1551051    .2699828
     _Istateicps_31 |   .5499366   .1074435     5.12   0.000     .3393512     .760522
     _Istateicps_32 |   .4226583    .125695     3.36   0.001     .1763006    .6690159
     _Istateicps_33 |    .372044   .1175096     3.17   0.002     .1417295    .6023585
     _Istateicps_34 |   .0395638   .0994117     0.40   0.691    -.1552796    .2344072
     _Istateicps_35 |   .5272082   .1072203     4.92   0.000     .3170602    .7373562
     _Istateicps_36 |   .5953787    .152344     3.91   0.000     .2967899    .8939676
     _Istateicps_37 |   .3701488   .1144706     3.23   0.001     .1457906     .594507
     _Istateicps_40 |   .0992902   .1117997     0.89   0.374    -.1198332    .3184135
     _Istateicps_41 |   .0187536   .1068419     0.18   0.861    -.1906527    .2281598
     _Istateicps_42 |  -.3233064   .1103485    -2.93   0.003    -.5395855   -.1070272
     _Istateicps_43 |   .0188175   .1224094     0.15   0.878    -.2211006    .2587356
     _Istateicps_44 |  -.1593528    .106557    -1.50   0.135    -.3682007     .049495
     _Istateicps_45 |  -.2314598   .1139487    -2.03   0.042    -.4547952   -.0081243
     _Istateicps_46 |  -.0089986    .118852    -0.08   0.940    -.2419443    .2239471
     _Istateicps_47 |  -.0707111   .1029646    -0.69   0.492     -.272518    .1310957
     _Istateicps_48 |  -.3636704   .1268496    -2.87   0.004     -.612291   -.1150498
     _Istateicps_49 |   .1081912   .1098148     0.99   0.325    -.1070419    .3234243
     _Istateicps_51 |  -.2472767   .1153876    -2.14   0.032    -.4734322   -.0211211
     _Istateicps_52 |  -.0686927   .1095217    -0.63   0.531    -.2833512    .1459658
     _Istateicps_53 |   .1123506   .1203253     0.93   0.350    -.1234826    .3481838
     _Istateicps_54 |  -.1235242   .1033541    -1.20   0.232    -.3260946    .0790462
     _Istateicps_56 |  -.0422976   .0963035    -0.44   0.661    -.2310489    .1464537
     _Istateicps_61 |   .0702502   .1261044     0.56   0.577      -.17691    .3174103
     _Istateicps_62 |   .1182808    .111815     1.06   0.290    -.1008727    .3374342
     _Istateicps_63 |   .1841829     .12003     1.53   0.125    -.0510715    .4194373
     _Istateicps_64 |   .6090193   .1284044     4.74   0.000     .3573512    .8606873
     _Istateicps_65 |   .1762924   .1768703     1.00   0.319    -.1703671    .5229519
     _Istateicps_66 |  -.1742881   .1365991    -1.28   0.202    -.4420174    .0934411
     _Istateicps_67 |  -.0555764   .1219566    -0.46   0.649    -.2946069     .183454
     _Istateicps_68 |   .3751607   .1415164     2.65   0.008     .0977936    .6525279
     _Istateicps_71 |   .1442228   .1307266     1.10   0.270    -.1119967    .4004423
     _Istateicps_72 |   .5858306   .1147626     5.10   0.000        .3609    .8107612
     _Istateicps_73 |     .46261   .1436442     3.22   0.001     .1810726    .7441474
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138   .6737825     1.83   0.068    -.0892093     2.55197
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.6233
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.9152
Residual SS             =  102.4410505

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674      .0138     2.66   0.008     .0096926    .0637874
         ww1_vol_sh |   .1099746   .0301214     3.65   0.000     .0509377    .1690114
ww1_awards_pop10_is |   .1261255   .1043213     1.21   0.227    -.0783404    .3305915
             lpop30 |  -.0125949    .011989    -1.05   0.293     -.036093    .0109032
           c30unemp |   .6094068   .2229197     2.73   0.006     .1724922    1.046321
          c30urban1 |   .0070253   .0127378     0.55   0.581    -.0179403    .0319909
            c30farm |  -.0861848    .071157    -1.21   0.226      -.22565    .0532804
            iYf_T29 |  -.0283905    .015806    -1.80   0.072    -.0593697    .0025887
           MEAN9628 |  -.0003738   .0008737    -0.43   0.669    -.0020862    .0013387
             c30men |  -1.264086   .5665499    -2.23   0.026    -2.374504   -.1536689
           c30black |   -.433984   .0654297    -6.63   0.000    -.5622238   -.3057442
             c30jap |    .735138   1.245603     0.59   0.555    -1.706199    3.176475
             c30deu |  -.7111557   .2019691    -3.52   0.000    -1.107008   -.3153035
             c30ita |   -.234159   .2882767    -0.81   0.417     -.799171     .330853
             c30vet |   1.116889   .3225956     3.46   0.001     .4846131    1.749164
           lc40wage |   .2101183    .038205     5.50   0.000     .1352378    .2849988
      iwarconpro_PC |  -.0339349   .0092811    -3.66   0.000    -.0521256   -.0157443
      _Istateicps_2 |   .0041405   .0643461     0.06   0.949    -.1219755    .1302564
      _Istateicps_3 |   .0339488   .0456439     0.74   0.457    -.0555115    .1234091
      _Istateicps_4 |   .2386163   .0624455     3.82   0.000     .1162254    .3610072
      _Istateicps_5 |  -.0046429     .04429    -0.10   0.917    -.0914496    .0821638
      _Istateicps_6 |   .3041236   .0673313     4.52   0.000     .1721567    .4360905
     _Istateicps_11 |  -.1669829   .0562753    -2.97   0.003    -.2772805   -.0566853
     _Istateicps_12 |   -.090787   .0484063    -1.88   0.061    -.1856615    .0040876
     _Istateicps_13 |   .0501752   .0686064     0.73   0.465    -.0842908    .1846412
     _Istateicps_14 |  -.1909468   .0545982    -3.50   0.000    -.2979573   -.0839364
     _Istateicps_21 |   .0211005   .0643317     0.33   0.743    -.1049874    .1471884
     _Istateicps_22 |  -.0806155   .0619081    -1.30   0.193    -.2019533    .0407222
     _Istateicps_23 |   -.031761   .0757226    -0.42   0.675    -.1801747    .1166526
     _Istateicps_24 |  -.0901466   .0593301    -1.52   0.129    -.2064314    .0261383
     _Istateicps_25 |   .1962322   .0792571     2.48   0.013      .040891    .3515733
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935   .0628943    -2.30   0.022     -.267864    -.021323
     _Istateicps_41 |   .0950313   .0787252     1.21   0.227    -.0592673    .2493298
     _Istateicps_42 |  -.2260176   .0667109    -3.39   0.001    -.3567686   -.0952666
     _Istateicps_43 |   .2192397   .0776168     2.82   0.005     .0671135    .3713658
     _Istateicps_44 |   .1720065   .0653742     2.63   0.009     .0438754    .3001377
     _Istateicps_45 |  -.1822926   .0677354    -2.69   0.007    -.3150516   -.0495336
     _Istateicps_46 |   .1452847   .0738748     1.97   0.049     .0004927    .2900766
     _Istateicps_47 |  -.0122521   .0655864    -0.19   0.852    -.1407992     .116295
     _Istateicps_48 |   .0715918   .0803627     0.89   0.373    -.0859163    .2290998
     _Istateicps_49 |   .5233502   .0765736     6.83   0.000     .3732687    .6734318
     _Istateicps_51 |    .056484   .0691093     0.82   0.414    -.0789678    .1919357
     _Istateicps_52 |  -.2913221   .0633136    -4.60   0.000    -.4154145   -.1672297
     _Istateicps_53 |   .1476366   .0701516     2.10   0.035      .010142    .2851312
     _Istateicps_54 |   -.026899   .0739271    -0.36   0.716    -.1717935    .1179955
     _Istateicps_56 |   .1086773   .0733981     1.48   0.139    -.0351804     .252535
     _Istateicps_61 |  -.4907201   .0715329    -6.86   0.000    -.6309219   -.3505182
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0739019    -0.78   0.433    -.2028229    .0868671
     _Istateicps_64 |    .173091   .0755645     2.29   0.022     .0249872    .3211948
     _Istateicps_65 |   -.159553   .0950232    -1.68   0.093    -.3457951    .0266892
     _Istateicps_66 |   .0918128   .0760729     1.21   0.227    -.0572874     .240913
     _Istateicps_67 |  -.2062293   .0674536    -3.06   0.002     -.338436   -.0740227
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0725064     0.07   0.944    -.1370614    .1471586
     _Istateicps_72 |  -.1516232   .0719605    -2.11   0.035    -.2926632   -.0105832
     _Istateicps_73 |   .0544429   .0779137     0.70   0.485    -.0982651    .2071509
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .4308433    -0.47   0.642    -1.045015    .6438596
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1872
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6319
Residual SS             =   30.8266221

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0038045     3.46   0.001     .0057144     .020628
         ww1_vol_sh |   .0564202   .0209241     2.70   0.007     .0154099    .0974306
ww1_awards_pop10_is |   .0349864   .0321963     1.09   0.277    -.0281172    .0980899
             lpop30 |  -.0173645   .0128219    -1.35   0.176     -.042495     .007766
           c30unemp |   .1527126   .1521988     1.00   0.316    -.1455916    .4510168
          c30urban1 |   .0057236   .0065152     0.88   0.380     -.007046    .0184932
            c30farm |     .02803   .0263293     1.06   0.287    -.0235746    .0796345
            iYf_T29 |   .0128969   .0097096     1.33   0.184    -.0061336    .0319273
           MEAN9628 |  -.0000696   .0003311    -0.21   0.833    -.0007186    .0005794
             c30men |  -.5458902   .2421733    -2.25   0.024    -1.020541   -.0712392
           c30black |  -.0502053   .0214204    -2.34   0.019    -.0921886    -.008222
             c30jap |   .8842438   1.105748     0.80   0.424    -1.282982    3.051469
             c30deu |   .0555887   .1103078     0.50   0.614    -.1606106     .271788
             c30ita |  -.0096405   .1931579    -0.05   0.960    -.3882231     .368942
             c30vet |   .2707406    .106536     2.54   0.011     .0619338    .4795474
           lc40wage |   .0564545   .0204781     2.76   0.006     .0163182    .0965908
      iwarconpro_PC |   .0048563   .0047465     1.02   0.306    -.0044466    .0141592
      _Istateicps_2 |  -.0249839   .0334518    -0.75   0.455    -.0905482    .0405805
      _Istateicps_3 |  -.0025937   .0188764    -0.14   0.891    -.0395908    .0344035
      _Istateicps_4 |  -.0258903   .0302949    -0.85   0.393    -.0852672    .0334865
      _Istateicps_5 |   .0585332   .0276439     2.12   0.034     .0043522    .1127142
      _Istateicps_6 |  -.0237489   .0372104    -0.64   0.523    -.0966799    .0491821
     _Istateicps_11 |  -.0441544   .0208599    -2.12   0.034    -.0850391   -.0032698
     _Istateicps_12 |  -.0367685   .0170382    -2.16   0.031    -.0701627   -.0033743
     _Istateicps_13 |  -.0040381   .0194245    -0.21   0.835    -.0421094    .0340333
     _Istateicps_14 |  -.0291064   .0214213    -1.36   0.174    -.0710915    .0128786
     _Istateicps_21 |  -.0436119   .0288158    -1.51   0.130    -.1000899     .012866
     _Istateicps_22 |  -.0667818   .0277953    -2.40   0.016    -.1212596   -.0123041
     _Istateicps_23 |  -.0375624   .0324649    -1.16   0.247    -.1011923    .0260676
     _Istateicps_24 |  -.0226088   .0273344    -0.83   0.408    -.0761832    .0309656
     _Istateicps_25 |  -.0741215   .0409924    -1.81   0.071     -.154465    .0062221
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949   .0241885    -0.90   0.370    -.0691036    .0257138
     _Istateicps_41 |  -.0282889   .0220657    -1.28   0.200    -.0715369    .0149591
     _Istateicps_42 |  -.0404452   .0222747    -1.82   0.069    -.0841028    .0032124
     _Istateicps_43 |   .0096145   .0327002     0.29   0.769    -.0544768    .0737057
     _Istateicps_44 |    -.03822   .0242636    -1.58   0.115    -.0857757    .0093358
     _Istateicps_45 |  -.0312308   .0212395    -1.47   0.141    -.0728594    .0103979
     _Istateicps_46 |   .0001286   .0235533     0.01   0.996    -.0460351    .0462923
     _Istateicps_47 |  -.0395406   .0221397    -1.79   0.074    -.0829337    .0038524
     _Istateicps_48 |  -.0235965   .0225516    -1.05   0.295    -.0677968    .0206038
     _Istateicps_49 |   .0013643   .0220194     0.06   0.951    -.0417929    .0445216
     _Istateicps_51 |  -.0287306   .0235759    -1.22   0.223    -.0749386    .0174774
     _Istateicps_52 |  -.0279878   .0275061    -1.02   0.309    -.0818988    .0259232
     _Istateicps_53 |  -.0133041   .0219863    -0.61   0.545    -.0563965    .0297882
     _Istateicps_54 |  -.0303913   .0216632    -1.40   0.161    -.0728504    .0120678
     _Istateicps_56 |  -.0145483   .0229933    -0.63   0.527    -.0596144    .0305178
     _Istateicps_61 |   .0282924   .0419992     0.67   0.501    -.0540246    .1106094
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0388728     0.19   0.849    -.0687991    .0835796
     _Istateicps_64 |   .1184136    .055992     2.11   0.034     .0086714    .2281558
     _Istateicps_65 |   .0104794   .0639728     0.16   0.870     -.114905    .1358637
     _Istateicps_66 |  -.0050731   .0312988    -0.16   0.871    -.0664176    .0562713
     _Istateicps_67 |   .0111529     .04151     0.27   0.788    -.0702051    .0925109
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0437205     1.51   0.131    -.0196575    .1517235
     _Istateicps_72 |   -.012919   .0395438    -0.33   0.744    -.0904235    .0645854
     _Istateicps_73 |   .0276688   .0344995     0.80   0.423    -.0399489    .0952865
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1797142     0.30   0.765    -.2985776     .405889
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.6531
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.6531
Residual SS             =  1275.789551

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0360177     6.48   0.000      .162806    .3039929
         ww1_vol_sh |   .4505476   .1228423     3.67   0.000      .209781    .6913142
ww1_awards_pop10_is |   .5719262   .2621493     2.18   0.029     .0581229    1.085729
             lpop30 |  -.1484064   .0646595    -2.30   0.022    -.2751367   -.0216762
           c30unemp |   1.605957   .8925283     1.80   0.072    -.1433659    3.355281
          c30urban1 |   .1167555   .0434502     2.69   0.007     .0315946    .2019163
            c30farm |  -.4338444   .2372859    -1.83   0.067    -.8989163    .0312275
            iYf_T29 |   .0609448   .0618584     0.99   0.325    -.0602955    .1821851
           MEAN9628 |   .0022342   .0021382     1.04   0.296    -.0019567    .0064251
             c30men |  -6.462308   1.595117    -4.05   0.000     -9.58868   -3.335936
           c30black |  -1.176993   .1752687    -6.72   0.000    -1.520513   -.8334724
             c30jap |   11.08854   5.269712     2.10   0.035     .7600916    21.41698
             c30deu |  -.0658039    .724262    -0.09   0.928    -1.485331    1.353723
             c30ita |  -.4954921   1.326858    -0.37   0.709    -3.096085    2.105101
             c30vet |   3.894608   .8667631     4.49   0.000     2.195783    5.593432
           lc40wage |   1.038707   .1390325     7.47   0.000     .7662086    1.311206
      iwarconpro_PC |   .2327704   .0367653     6.33   0.000     .1607117    .3048291
      _Istateicps_2 |    -.11426   .2036758    -0.56   0.575    -.5134572    .2849373
      _Istateicps_3 |  -.0770539   .1446901    -0.53   0.594    -.3606412    .2065334
      _Istateicps_4 |   .3082856   .2210191     1.39   0.163    -.1249039    .7414751
      _Istateicps_5 |  -.0608687    .193634    -0.31   0.753    -.4403843    .3186469
      _Istateicps_6 |   .4949421   .2499364     1.98   0.048     .0050758    .9848084
     _Istateicps_11 |  -.1571952   .1683761    -0.93   0.351    -.4872062    .1728158
     _Istateicps_12 |  -.3657503   .1223851    -2.99   0.003    -.6056206     -.12588
     _Istateicps_13 |   .1356128    .170339     0.80   0.426    -.1982455    .4694712
     _Istateicps_14 |  -.3224387   .1711706    -1.88   0.060    -.6579269    .0130494
     _Istateicps_21 |  -.0250645   .1964559    -0.13   0.898     -.410111    .3599821
     _Istateicps_22 |  -.3653847   .1999613    -1.83   0.068    -.7573016    .0265323
     _Istateicps_23 |  -.1593275   .2354439    -0.68   0.499     -.620789    .3021341
     _Istateicps_24 |  -.2352151    .194964    -1.21   0.228    -.6173375    .1469073
     _Istateicps_25 |   .0749767   .2753941     0.27   0.785    -.4647859    .6147393
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .1873237    -1.30   0.195    -.6101122    .1241832
     _Istateicps_41 |   .0767307   .1913376     0.40   0.688    -.2982841    .4517456
     _Istateicps_42 |  -.8293752   .1900767    -4.36   0.000    -1.201919   -.4568319
     _Istateicps_43 |     .40108   .2352935     1.70   0.088    -.0600868    .8622468
     _Istateicps_44 |  -.0016264   .1962764    -0.01   0.993    -.3863212    .3830683
     _Istateicps_45 |   -.654698   .1730207    -3.78   0.000    -.9938123   -.3155837
     _Istateicps_46 |   .2102797   .2004038     1.05   0.294    -.1825046    .6030639
     _Istateicps_47 |  -.2329315    .192345    -1.21   0.226    -.6099207    .1440577
     _Istateicps_48 |  -.3283592   .1934785    -1.70   0.090    -.7075701    .0508518
     _Istateicps_49 |   .9989503    .210133     4.75   0.000     .5870971    1.410804
     _Istateicps_51 |  -.2027824   .1836461    -1.10   0.270    -.5627221    .1571573
     _Istateicps_52 |  -.6443716   .2193965    -2.94   0.003    -1.074381   -.2143625
     _Istateicps_53 |   .3266428   .1872118     1.74   0.081    -.0402855    .6935711
     _Istateicps_54 |  -.2498932   .1821433    -1.37   0.170    -.6068876    .1071012
     _Istateicps_56 |   .0839127    .210599     0.40   0.690    -.3288538    .4966791
     _Istateicps_61 |   -.640051   .2806753    -2.28   0.023    -1.190165   -.0899375
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2556542     0.42   0.671    -.3924332     .609713
     _Istateicps_64 |    1.36512   .2922214     4.67   0.000     .7923762    1.937863
     _Istateicps_65 |  -.0745165   .3667457    -0.20   0.839    -.7933248    .6442919
     _Istateicps_66 |   .0026817   .2503765     0.01   0.991    -.4880472    .4934106
     _Istateicps_67 |  -.3375948   .2852354    -1.18   0.237    -.8966459    .2214564
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .2268831     1.89   0.059    -.0157791    .8735862
     _Istateicps_72 |   .2000608   .2431109     0.82   0.411    -.2764279    .6765495
     _Istateicps_73 |   .6304132   .3001689     2.10   0.036     .0420929    1.218733
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114    1.34288    -3.15   0.002    -6.865111   -1.601117
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  20.973
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992589

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0501097     7.24   0.000     .2646448    .4610714
         ww1_vol_sh |   .0017971   .0421194     0.04   0.966    -.0807553    .0843495
ww1_awards_pop10_is |   .1921598   .0832812     2.31   0.021     .0289317     .355388
             lpop30 |   .0188265   .0316197     0.60   0.552     -.043147    .0808001
           c30unemp |  -.1248967   .3037641    -0.41   0.681    -.7202635    .4704701
          c30urban1 |   .0017637   .0281842     0.06   0.950    -.0534762    .0570037
            c30farm |   -.650749   .1606342    -4.05   0.000    -.9655863   -.3359117
            iYf_T29 |   .0004386   .0311803     0.01   0.989    -.0606737     .061551
           MEAN9628 |  -.0004211   .0013667    -0.31   0.758    -.0030997    .0022575
             c30men |  -1.025572   .9956302    -1.03   0.303    -2.976971    .9258273
           c30black |  -.2277285   .1209706    -1.88   0.060    -.4648265    .0093694
             c30jap |   4.368221   2.757912     1.58   0.113    -1.037187     9.77363
             c30deu |   .5215383   .2452536     2.13   0.033     .0408501    1.002227
             c30ita |   -.025553   .6780683    -0.04   0.970    -1.354543    1.303436
             c30vet |  -.4359812   1.074478    -0.41   0.685     -2.54192    1.669958
           lc40wage |   .4225714   .0712563     5.93   0.000     .2829116    .5622313
      iwarconpro_PC |   .2796099   .0273358    10.23   0.000     .2260328    .3331869
      _Istateicps_2 |   .2551516   .1881086     1.36   0.175    -.1135345    .6238378
      _Istateicps_3 |  -.1705057   .1093617    -1.56   0.119    -.3848507    .0438392
      _Istateicps_4 |    .273926   .1387652     1.97   0.048     .0019512    .5459007
      _Istateicps_5 |  -.2286692   .1490608    -1.53   0.125     -.520823    .0634847
      _Istateicps_6 |   .2686098   .1312231     2.05   0.041     .0114172    .5258023
     _Istateicps_11 |   .3830819   .1539409     2.49   0.013     .0813633    .6848004
     _Istateicps_12 |  -.0134074   .0974488    -0.14   0.891    -.2044035    .1775886
     _Istateicps_13 |   .2460354   .1086802     2.26   0.024     .0330262    .4590446
     _Istateicps_14 |   .3265672   .1106922     2.95   0.003     .1096145    .5435199
     _Istateicps_21 |   .0267912   .1210932     0.22   0.825     -.210547    .2641295
     _Istateicps_22 |   .0318381    .117061     0.27   0.786    -.1975973    .2612734
     _Istateicps_23 |   .0691561    .114591     0.60   0.546    -.1554381    .2937503
     _Istateicps_24 |   .0434357   .1089395     0.40   0.690    -.1700818    .2569532
     _Istateicps_25 |    .033918   .1250026     0.27   0.786    -.2110825    .2789186
     _Istateicps_31 |   .3896854   .1279513     3.05   0.002     .1389055    .6404652
     _Istateicps_32 |   .1851604   .1311998     1.41   0.158    -.0719865    .4423072
     _Istateicps_33 |     .28514   .1354038     2.11   0.035     .0197534    .5505266
     _Istateicps_34 |   .0747433   .1166052     0.64   0.522    -.1537987    .3032853
     _Istateicps_35 |   .3328325   .1289745     2.58   0.010      .080047    .5856179
     _Istateicps_36 |   .2156875   .1919138     1.12   0.261    -.1604566    .5918315
     _Istateicps_37 |   .1152507   .1539857     0.75   0.454    -.1865557     .417057
     _Istateicps_40 |     .34576   .1464768     2.36   0.018     .0586709    .6328492
     _Istateicps_41 |   .1423102   .1306974     1.09   0.276    -.1138519    .3984723
     _Istateicps_42 |  -.2041263   .1371772    -1.49   0.137    -.4729888    .0647361
     _Istateicps_43 |   .2036536   .1545795     1.32   0.188    -.0993166    .5066239
     _Istateicps_44 |   -.055948   .1327354    -0.42   0.673    -.3161047    .2042087
     _Istateicps_45 |  -.1142586   .1474057    -0.78   0.438    -.4031685    .1746513
     _Istateicps_46 |   .2041352   .1515561     1.35   0.178    -.0929094    .5011797
     _Istateicps_47 |   .0637409   .1423863     0.45   0.654    -.2153312     .342813
     _Istateicps_48 |  -.2723034   .1470149    -1.85   0.064    -.5604474    .0158406
     _Istateicps_49 |    .026546   .1350904     0.20   0.844    -.2382263    .2913182
     _Istateicps_51 |  -.1046667   .1253786    -0.83   0.404    -.3504041    .1410708
     _Istateicps_52 |   .0067989   .1264314     0.05   0.957    -.2410021    .2545999
     _Istateicps_53 |   .0750072   .1260674     0.59   0.552    -.1720802    .3220947
     _Istateicps_54 |   .0425232   .1291747     0.33   0.742    -.2106545    .2957008
     _Istateicps_56 |   .2674249   .1460023     1.83   0.067    -.0187343    .5535841
     _Istateicps_61 |   .1422868   .1509742     0.94   0.346    -.1536171    .4381907
     _Istateicps_62 |   .1351795   .1273735     1.06   0.289     -.114468    .3848269
     _Istateicps_63 |   .1302129   .1371115     0.95   0.342    -.1385208    .3989466
     _Istateicps_64 |    .443744    .144012     3.08   0.002     .1614856    .7260024
     _Istateicps_65 |   .2070832    .211373     0.98   0.327    -.2072002    .6213665
     _Istateicps_66 |  -.1952118   .1523078    -1.28   0.200    -.4937295    .1033059
     _Istateicps_67 |  -.0517882   .1346546    -0.38   0.701    -.3157063      .21213
     _Istateicps_68 |   .1782253   .1670542     1.07   0.286    -.1491949    .5056456
     _Istateicps_71 |   .0426895   .1621214     0.26   0.792    -.2750626    .3604415
     _Istateicps_72 |     .55665   .1289755     4.32   0.000     .3038626    .8094373
     _Istateicps_73 |   .4800399    .138099     3.48   0.001     .2093708     .750709
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688292   .9095348     0.08   0.940    -1.713826    1.851485
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  16.737
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650449

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868915   .0590879     3.16   0.002     .0710815    .3027016
         ww1_vol_sh |   .1055582   .0343464     3.07   0.002     .0382405    .1728759
ww1_awards_pop10_is |   .0997412   .1047857     0.95   0.341     -.105635    .3051174
             lpop30 |    .020982   .0198985     1.05   0.292    -.0180183    .0599824
           c30unemp |   .7409981   .2816734     2.63   0.009     .1889285    1.293068
          c30urban1 |  -.0207848   .0184285    -1.13   0.259     -.056904    .0153345
            c30farm |  -.1391921   .0873795    -1.59   0.111    -.3104528    .0320687
            iYf_T29 |  -.0773547   .0258205    -3.00   0.003     -.127962   -.0267474
           MEAN9628 |  -.0024648   .0013104    -1.88   0.060    -.0050332    .0001036
             c30men |  -1.263338   .6521401    -1.94   0.053    -2.541509    .0148337
           c30black |  -.3873637    .069929    -5.54   0.000     -.524422   -.2503055
             c30jap |   .8512667   1.193633     0.71   0.476    -1.488212    3.190745
             c30deu |  -.8447066    .215593    -3.92   0.000    -1.267261    -.422152
             c30ita |  -.0688082   .3131961    -0.22   0.826    -.6826613    .5450449
             c30vet |    .945918   .3292039     2.87   0.004     .3006902    1.591146
           lc40wage |   .1775205   .0463517     3.83   0.000     .0866728    .2683681
      iwarconpro_PC |  -.0352934   .0120687    -2.92   0.003    -.0589475   -.0116393
      _Istateicps_2 |   .2008432   .1097015     1.83   0.067    -.0141678    .4158543
      _Istateicps_3 |   .0285577   .0503739     0.57   0.571    -.0701734    .1272888
      _Istateicps_4 |   .4183864   .0943201     4.44   0.000     .2335223    .6032505
      _Istateicps_5 |    .043889   .0494698     0.89   0.375      -.05307    .1408479
      _Istateicps_6 |   .4468934   .0911419     4.90   0.000     .2682586    .6255283
     _Istateicps_11 |  -.1043796   .0733472    -1.42   0.155    -.2481374    .0393782
     _Istateicps_12 |  -.0433512   .0563582    -0.77   0.442    -.1538113    .0671089
     _Istateicps_13 |   .1761743   .0904757     1.95   0.052    -.0011548    .3535033
     _Istateicps_14 |  -.0399175   .0817383    -0.49   0.625    -.2001216    .1202866
     _Istateicps_21 |  -.0481837   .0721316    -0.67   0.504    -.1895591    .0931916
     _Istateicps_22 |  -.0969536   .0741043    -1.31   0.191    -.2421954    .0482882
     _Istateicps_23 |  -.0076968   .0892946    -0.09   0.931     -.182711    .1673174
     _Istateicps_24 |  -.0610299   .0682139    -0.89   0.371    -.1947267    .0726669
     _Istateicps_25 |   .1698956   .0921614     1.84   0.065    -.0107375    .3505286
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403    .092325     0.29   0.771    -.1541133    .2077939
     _Istateicps_41 |    .168629   .0929478     1.81   0.070    -.0135453    .3508033
     _Istateicps_42 |  -.1542304   .0736295    -2.09   0.036    -.2985416   -.0099191
     _Istateicps_43 |    .359333   .0980819     3.66   0.000      .167096    .5515701
     _Istateicps_44 |   .2335672     .07907     2.95   0.003     .0785928    .3885416
     _Istateicps_45 |   -.101439   .0961428    -1.06   0.291    -.2898755    .0869975
     _Istateicps_46 |   .2923887   .0992446     2.95   0.003     .0978729    .4869046
     _Istateicps_47 |   .0710973   .0846568     0.84   0.401    -.0948268    .2370215
     _Istateicps_48 |   .1294789   .0964877     1.34   0.180    -.0596335    .3185912
     _Istateicps_49 |   .4488245   .0810529     5.54   0.000     .2899638    .6076852
     _Istateicps_51 |   .1447727   .0997562     1.45   0.147    -.0507458    .3402913
     _Istateicps_52 |  -.2417397   .0697393    -3.47   0.001    -.3784263   -.1050532
     _Istateicps_53 |   .0980757   .0944362     1.04   0.299    -.0870159    .2831673
     _Istateicps_54 |   .0772363   .0938459     0.82   0.411    -.1066983     .261171
     _Istateicps_56 |   .3277989   .1175535     2.79   0.005     .0973982    .5581996
     _Istateicps_61 |  -.4500034    .086205    -5.22   0.000    -.6189622   -.2810447
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0846878    -1.29   0.198    -.2749317    .0570385
     _Istateicps_64 |   .0280387   .1073461     0.26   0.794    -.1823557    .2384331
     _Istateicps_65 |  -.1306264   .1009351    -1.29   0.196    -.3284556    .0672028
     _Istateicps_66 |   .0528292   .0866548     0.61   0.542    -.1170111    .2226695
     _Istateicps_67 |  -.2125683   .0739572    -2.87   0.004    -.3575217   -.0676148
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .0870966    -0.99   0.321    -.2570744    .0843379
     _Istateicps_72 |   -.185053   .0825021    -2.24   0.025    -.3467542   -.0233518
     _Istateicps_73 |   .0570815   .0813114     0.70   0.483     -.102286    .2164489
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7072438    -1.42   0.154    -2.393576    .3787688
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  16.737
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =    32.501767

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0109068     4.57   0.000     .0284395    .0711934
         ww1_vol_sh |   .0553424   .0213848     2.59   0.010     .0134289    .0972559
ww1_awards_pop10_is |   .0285471   .0328067     0.87   0.384    -.0357528     .092847
             lpop30 |  -.0091699   .0127843    -0.72   0.473    -.0342266    .0158868
           c30unemp |   .1848281   .1576493     1.17   0.241    -.1241589    .4938152
          c30urban1 |  -.0010635   .0072394    -0.15   0.883    -.0152526    .0131255
            c30farm |   .0150933   .0302148     0.50   0.617    -.0441267    .0743132
            iYf_T29 |   .0009469   .0106753     0.09   0.929    -.0199762      .02187
           MEAN9628 |    -.00058   .0003739    -1.55   0.121    -.0013127    .0001528
             c30men |  -.5457075   .2412585    -2.26   0.024    -1.018565   -.0728495
           c30black |  -.0388274   .0230413    -1.69   0.092    -.0839874    .0063326
             c30jap |   .9125856   1.119223     0.82   0.415    -1.281051    3.106222
             c30deu |    .022995   .1081004     0.21   0.832     -.188878    .2348679
             c30ita |   .0307142   .2047998     0.15   0.881    -.3706861    .4321144
             c30vet |   .2290143   .1108808     2.07   0.039     .0116919    .4463367
           lc40wage |   .0484989   .0211819     2.29   0.022     .0069831    .0900146
      iwarconpro_PC |   .0045248   .0049793     0.91   0.363    -.0052344     .014284
      _Istateicps_2 |   .0230224   .0344376     0.67   0.504    -.0444741     .090519
      _Istateicps_3 |  -.0039094   .0211376    -0.18   0.853    -.0453384    .0375196
      _Istateicps_4 |   .0179834   .0334069     0.54   0.590    -.0474929    .0834598
      _Istateicps_5 |   .0703777   .0298479     2.36   0.018     .0118769    .1288784
      _Istateicps_6 |   .0110948   .0394415     0.28   0.778     -.066209    .0883987
     _Istateicps_11 |  -.0288758   .0223432    -1.29   0.196    -.0726676    .0149161
     _Istateicps_12 |  -.0251916   .0195909    -1.29   0.198    -.0635891     .013206
     _Istateicps_13 |   .0267126   .0236384     1.13   0.258    -.0196178    .0730431
     _Istateicps_14 |    .007753    .024221     0.32   0.749    -.0397192    .0552253
     _Istateicps_21 |  -.0605211   .0338696    -1.79   0.074    -.1269044    .0058622
     _Istateicps_22 |  -.0707692   .0301781    -2.35   0.019    -.1299172   -.0116213
     _Istateicps_23 |  -.0316894   .0347755    -0.91   0.362    -.0998482    .0364694
     _Istateicps_24 |  -.0155027   .0294748    -0.53   0.599    -.0732722    .0422668
     _Istateicps_25 |   -.080549   .0427908    -1.88   0.060    -.1644175    .0033194
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0273654     0.74   0.462    -.0334908    .0737795
     _Istateicps_41 |   -.010327   .0242898    -0.43   0.671    -.0579342    .0372801
     _Istateicps_42 |  -.0229252   .0242737    -0.94   0.345    -.0705007    .0246503
     _Istateicps_43 |   .0438049   .0364918     1.20   0.230    -.0277176    .1153275
     _Istateicps_44 |  -.0231958   .0258675    -0.90   0.370    -.0738951    .0275036
     _Istateicps_45 |   -.011498   .0263656    -0.44   0.663    -.0631736    .0401775
     _Istateicps_46 |   .0360301    .026516     1.36   0.174    -.0159403    .0880004
     _Istateicps_47 |  -.0191988   .0250463    -0.77   0.443    -.0682887    .0298911
     _Istateicps_48 |  -.0094689   .0245783    -0.39   0.700    -.0576414    .0387037
     _Istateicps_49 |   -.016824   .0258532    -0.65   0.515    -.0674954    .0338473
     _Istateicps_51 |  -.0071833   .0273208    -0.26   0.793    -.0607311    .0463646
     _Istateicps_52 |   -.015887   .0289081    -0.55   0.583    -.0725458    .0407719
     _Istateicps_53 |  -.0253997    .026522    -0.96   0.338     -.077382    .0265825
     _Istateicps_54 |  -.0049766   .0248669    -0.20   0.841    -.0537147    .0437616
     _Istateicps_56 |   .0389294   .0294172     1.32   0.186    -.0187273    .0965861
     _Istateicps_61 |   .0382295   .0430688     0.89   0.375    -.0461837    .1226427
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489   .0401214    -0.13   0.900    -.0836854    .0735876
     _Istateicps_64 |   .0830129    .059865     1.39   0.166    -.0343204    .2003462
     _Istateicps_65 |   .0175391   .0654391     0.27   0.789    -.1107193    .1457974
     _Istateicps_66 |  -.0145873   .0322464    -0.45   0.651     -.077789    .0486145
     _Istateicps_67 |   .0096059   .0392758     0.24   0.807    -.0673733     .086585
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0452248     0.97   0.334    -.0449167    .1323612
     _Istateicps_72 |  -.0210778   .0458963    -0.46   0.646    -.1110328    .0688773
     _Istateicps_73 |   .0283128   .0350052     0.81   0.419    -.0402962    .0969217
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2010747    -0.71   0.476    -.5373533    .2508451
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 200
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  16.737
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017642

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1331202     6.20   0.000     .5638435    1.085665
         ww1_vol_sh |   .4331542   .1396763     3.10   0.002     .1593937    .7069148
ww1_awards_pop10_is |   .4680145   .2747413     1.70   0.088    -.0704686    1.006498
             lpop30 |  -.0161675   .0759041    -0.21   0.831    -.1649368    .1326018
           c30unemp |   2.124215   1.059544     2.00   0.045     .0475464    4.200883
          c30urban1 |   .0072287   .0569808     0.13   0.899    -.1044516    .1189089
            c30farm |  -.6426075   .3242219    -1.98   0.047    -1.278071   -.0071443
            iYf_T29 |  -.1318951   .0876266    -1.51   0.132    -.3036401    .0398498
           MEAN9628 |   -.006001   .0036268    -1.65   0.098    -.0131094    .0011074
             c30men |  -6.459359   1.973074    -3.27   0.001    -10.32651   -2.592206
           c30black |  -.9933841   .2314751    -4.29   0.000    -1.447067   -.5397013
             c30jap |    11.5459   5.849214     1.97   0.048      .081648    23.01015
             c30deu |  -.5917787   .7543795    -0.78   0.433    -2.070335     .886778
             c30ita |   .1557233   1.549163     0.10   0.920     -2.88058    3.192026
             c30vet |   3.221259   .9585849     3.36   0.001     1.342467    5.100051
           lc40wage |   .9103244   .1718928     5.30   0.000     .5734206    1.247228
      iwarconpro_PC |   .2274203   .0485022     4.69   0.000     .1323577    .3224829
      _Istateicps_2 |   .6604316   .3247798     2.03   0.042     .0238749    1.296988
      _Istateicps_3 |  -.0982863   .1958597    -0.50   0.616    -.4821643    .2855916
      _Istateicps_4 |    1.01629   .2943874     3.45   0.001     .4393009    1.593278
      _Istateicps_5 |   .1302685    .241134     0.54   0.589    -.3423455    .6028826
      _Istateicps_6 |   1.057225   .3164997     3.34   0.001      .436897    1.677553
     _Istateicps_11 |   .0893607   .2699933     0.33   0.741    -.4398165    .6185379
     _Istateicps_12 |    -.17893   .1707844    -1.05   0.295    -.5136614    .1558013
     _Istateicps_13 |    .631846   .2583323     2.45   0.014      .125524    1.138168
     _Istateicps_14 |   .2723731   .2367867     1.15   0.250    -.1917202    .7364664
     _Istateicps_21 |  -.2979324   .2807002    -1.06   0.289    -.8480947    .2522299
     _Istateicps_22 |  -.4297303   .2716403    -1.58   0.114    -.9621355     .102675
     _Istateicps_23 |  -.0645534   .3084556    -0.21   0.834    -.6691154    .5400085
     _Istateicps_24 |  -.1205424    .258333    -0.47   0.641    -.6268658    .3857811
     _Istateicps_25 |   -.028747   .3315831    -0.09   0.931    -.6786379    .6211439
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2813778     1.54   0.125    -.1192822    .9836983
     _Istateicps_41 |    .366587   .2624108     1.40   0.162    -.1477289    .8809028
     _Istateicps_42 |  -.5466495   .2473402    -2.21   0.027    -1.031427   -.0618715
     _Istateicps_43 |   .9528217    .320816     2.97   0.003     .3240339     1.58161
     _Istateicps_44 |   .2408232   .2632306     0.91   0.360    -.2750992    .7567457
     _Istateicps_45 |  -.3362653   .3071596    -1.09   0.274     -.938287    .2657564
     _Istateicps_46 |   .7896323   .2968334     2.66   0.008     .2078495    1.371415
     _Istateicps_47 |   .0953308   .2914618     0.33   0.744    -.4759238    .6665854
     _Istateicps_48 |  -.1003774   .2753153    -0.36   0.715    -.6399854    .4392306
     _Istateicps_49 |   .7054391    .279333     2.53   0.012     .1579565    1.252922
     _Istateicps_51 |   .1449329   .2864209     0.51   0.613    -.4164418    .7063075
     _Istateicps_52 |  -.4490972   .2605827    -1.72   0.085      -.95983    .0616356
     _Istateicps_53 |   .1314527   .2770697     0.47   0.635    -.4115939    .6744994
     _Istateicps_54 |   .1602319   .2718388     0.59   0.556    -.3725624    .6930261
     _Istateicps_56 |   .9468981   .3436473     2.76   0.006     .2733617    1.620434
     _Istateicps_61 |  -.4796931   .3421551    -1.40   0.161    -1.150305    .1909186
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .3026631    -0.30   0.761    -.6853031    .5011142
     _Istateicps_64 |   .7938474    .381906     2.08   0.038     .0453254    1.542369
     _Istateicps_65 |   .0394076   .4373997     0.09   0.928      -.81788    .8966952
     _Istateicps_66 |  -.1508506    .299531    -0.50   0.615    -.7379206    .4362194
     _Istateicps_67 |  -.3625599   .2910897    -1.25   0.213    -.9330851    .2079654
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .3072041     0.22   0.823    -.5332401    .6709778
     _Istateicps_72 |   .0684012   .3336119     0.21   0.838    -.5854661    .7222685
     _Istateicps_73 |   .6408049   .2953163     2.17   0.030     .0619956    1.219614
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.161265    -3.43   0.001    -11.64671   -3.174703
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6687
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9932
Residual SS             =  457.6222274

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0220007     7.41   0.000       .11986    .2061011
         ww1_vol_sh |  -.0034661   .0379396    -0.09   0.927    -.0778264    .0708943
ww1_awards_pop10_is |   .2278298   .0787908     2.89   0.004     .0734026     .382257
             lpop30 |  -.0196992   .0311831    -0.63   0.528    -.0808169    .0414185
           c30unemp |  -.3969034    .305511    -1.30   0.194     -.995694    .2018872
          c30urban1 |   .0341968   .0292695     1.17   0.243    -.0231703    .0915639
            c30farm |  -.5369548    .145646    -3.69   0.000    -.8224157   -.2514939
            iYf_T29 |   .0545721   .0268691     2.03   0.042     .0019096    .1072346
           MEAN9628 |   .0018992   .0015379     1.23   0.217    -.0011149    .0049134
             c30men |  -1.208349   .9896476    -1.22   0.222    -3.148023    .7313242
           c30black |  -.2788324   .1151665    -2.42   0.015    -.5045547   -.0531102
             c30jap |   5.155809   2.632799     1.96   0.050    -.0043813      10.316
             c30deu |   .6686746   .2580402     2.59   0.010     .1629251    1.174424
             c30ita |  -.2307047   .6237337    -0.37   0.711      -1.4532     .991791
             c30vet |  -.0487409   1.054769    -0.05   0.963     -2.11605    2.018568
           lc40wage |   .4648431   .0674938     6.89   0.000     .3325577    .5971285
      iwarconpro_PC |   .2779728   .0309137     8.99   0.000      .217383    .3385625
      _Istateicps_2 |  -.0112314   .1202473    -0.09   0.926    -.2469118    .2244489
      _Istateicps_3 |  -.1671985   .0672967    -2.48   0.013    -.2990977   -.0352993
      _Istateicps_4 |   .0319799   .0927341     0.34   0.730    -.1497756    .2137354
      _Istateicps_5 |   -.287031   .1005744    -2.85   0.004    -.4841532   -.0899088
      _Istateicps_6 |   .0632551   .0799733     0.79   0.429    -.0934898         .22
     _Istateicps_11 |   .2953927   .1007135     2.93   0.003     .0979979    .4927875
     _Istateicps_12 |  -.0684945   .0611206    -1.12   0.262    -.1882888    .0512997
     _Istateicps_13 |   .0725467   .0711799     1.02   0.308    -.0669635    .2120568
     _Istateicps_14 |   .1201342    .082288     1.46   0.144    -.0411472    .2814156
     _Istateicps_21 |   .1057907    .078583     1.35   0.178    -.0482292    .2598106
     _Istateicps_22 |   .0432751   .0764797     0.57   0.572    -.1066224    .1931725
     _Istateicps_23 |   .0249717   .0786036     0.32   0.751    -.1290885    .1790319
     _Istateicps_24 |  -.0012449   .0715603    -0.02   0.986    -.1415005    .1390106
     _Istateicps_25 |   .0574388   .0962004     0.60   0.550    -.1311104    .2459881
     _Istateicps_31 |   .5499366   .1043437     5.27   0.000     .3454267    .7544466
     _Istateicps_32 |   .4226583   .1399379     3.02   0.003     .1483849    .6969316
     _Istateicps_33 |    .372044   .1062092     3.50   0.000     .1638777    .5802103
     _Istateicps_34 |   .0395638   .0988361     0.40   0.689    -.1541515    .2332791
     _Istateicps_35 |   .5272082   .1146846     4.60   0.000     .3024305    .7519858
     _Istateicps_36 |   .5953787   .1533633     3.88   0.000     .2947922    .8959653
     _Istateicps_37 |   .3701488   .1232703     3.00   0.003     .1285434    .6117542
     _Istateicps_40 |   .0992902   .1027144     0.97   0.334    -.1020264    .3006067
     _Istateicps_41 |   .0187536   .1029653     0.18   0.855    -.1830546    .2205618
     _Istateicps_42 |  -.3233064   .1083955    -2.98   0.003    -.5357577    -.110855
     _Istateicps_43 |   .0188175    .113782     0.17   0.869    -.2041911    .2418261
     _Istateicps_44 |  -.1593528   .1072455    -1.49   0.137    -.3695502    .0508445
     _Istateicps_45 |  -.2314598   .1118081    -2.07   0.038    -.4505995     -.01232
     _Istateicps_46 |  -.0089986   .1201584    -0.07   0.940    -.2445048    .2265076
     _Istateicps_47 |  -.0707111   .0990404    -0.71   0.475    -.2648268    .1234046
     _Istateicps_48 |  -.3636704   .1348718    -2.70   0.007    -.6280144   -.0993264
     _Istateicps_49 |   .1081912   .1101489     0.98   0.326    -.1076967    .3240791
     _Istateicps_51 |  -.2472767   .1053813    -2.35   0.019    -.4538201   -.0407332
     _Istateicps_52 |  -.0686927   .0844027    -0.81   0.416    -.2341189    .0967336
     _Istateicps_53 |   .1123506   .1221026     0.92   0.358     -.126966    .3516672
     _Istateicps_54 |  -.1235242   .1008708    -1.22   0.221    -.3212274    .0741789
     _Istateicps_56 |  -.0422976    .086982    -0.49   0.627    -.2127793    .1281841
     _Istateicps_61 |   .0702502   .1189889     0.59   0.555    -.1629639    .3034642
     _Istateicps_62 |   .1182808   .1010944     1.17   0.242    -.0798607    .3164222
     _Istateicps_63 |   .1841829   .1078182     1.71   0.088    -.0271369    .3955026
     _Istateicps_64 |   .6090193   .1359544     4.48   0.000     .3425535     .875485
     _Istateicps_65 |   .1762924   .1565063     1.13   0.260    -.1304543    .4830391
     _Istateicps_66 |  -.1742881   .1374752    -1.27   0.205    -.4437347    .0951584
     _Istateicps_67 |  -.0555764   .1005764    -0.55   0.581    -.2527026    .1415497
     _Istateicps_68 |   .3751607   .1340357     2.80   0.005     .1124556    .6378658
     _Istateicps_71 |   .1442228   .1233784     1.17   0.242    -.0975945    .3860401
     _Istateicps_72 |   .5858306   .1025936     5.71   0.000     .3847509    .7869103
     _Istateicps_73 |     .46261   .1259749     3.67   0.000     .2157038    .7095162
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138   .7110434     1.73   0.083    -.1622393       2.625
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.6233
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.9152
Residual SS             =  102.4410505

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0173466     2.12   0.034     .0027412    .0707387
         ww1_vol_sh |   .1099746   .0313708     3.51   0.000     .0484889    .1714603
ww1_awards_pop10_is |   .1261255   .1061359     1.19   0.235    -.0818969     .334148
             lpop30 |  -.0125949    .011938    -1.06   0.291    -.0359929    .0108032
           c30unemp |   .6094068   .2304609     2.64   0.008     .1577117    1.061102
          c30urban1 |   .0070253    .012407     0.57   0.571     -.017292    .0313426
            c30farm |  -.0861848   .0867137    -0.99   0.320    -.2561405    .0837709
            iYf_T29 |  -.0283905   .0168497    -1.68   0.092    -.0614153    .0046343
           MEAN9628 |  -.0003738   .0010586    -0.35   0.724    -.0024486     .001701
             c30men |  -1.264086   .5746885    -2.20   0.028    -2.390455   -.1377175
           c30black |   -.433984   .0799716    -5.43   0.000    -.5907254   -.2772426
             c30jap |    .735138   1.280147     0.57   0.566    -1.773904     3.24418
             c30deu |  -.7111557   .2154798    -3.30   0.001    -1.133488    -.288823
             c30ita |   -.234159    .320462    -0.73   0.465     -.862253    .3939349
             c30vet |   1.116889   .3472625     3.22   0.001     .4362669    1.797511
           lc40wage |   .2101183   .0381128     5.51   0.000     .1354187    .2848179
      iwarconpro_PC |  -.0339349   .0095358    -3.56   0.000    -.0526247   -.0152452
      _Istateicps_2 |   .0041405   .0559491     0.07   0.941    -.1055178    .1137987
      _Istateicps_3 |   .0339488   .0374348     0.91   0.364     -.039422    .1073197
      _Istateicps_4 |   .2386163   .0591978     4.03   0.000     .1225908    .3546418
      _Istateicps_5 |  -.0046429   .0333576    -0.14   0.889    -.0700226    .0607368
      _Istateicps_6 |   .3041236   .0617358     4.93   0.000     .1831235    .4251236
     _Istateicps_11 |  -.1669829   .0471912    -3.54   0.000     -.259476   -.0744897
     _Istateicps_12 |   -.090787   .0402909    -2.25   0.024    -.1697558   -.0118182
     _Istateicps_13 |   .0501752   .0455805     1.10   0.271    -.0391611    .1395114
     _Istateicps_14 |  -.1909468   .0455985    -4.19   0.000    -.2803182   -.1015755
     _Istateicps_21 |   .0211005   .0557362     0.38   0.705    -.0881404    .1303413
     _Istateicps_22 |  -.0806155   .0556379    -1.45   0.147    -.1896638    .0284328
     _Istateicps_23 |   -.031761   .0671587    -0.47   0.636    -.1633896    .0998676
     _Istateicps_24 |  -.0901466   .0470509    -1.92   0.055    -.1823647    .0020716
     _Istateicps_25 |   .1962322   .0750973     2.61   0.009     .0490442    .3434201
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935   .0567197    -2.55   0.011     -.255762   -.0334249
     _Istateicps_41 |   .0950313   .0699416     1.36   0.174    -.0420517    .2321142
     _Istateicps_42 |  -.2260176   .0595853    -3.79   0.000    -.3428026   -.1092326
     _Istateicps_43 |   .2192397   .0686487     3.19   0.001     .0846907    .3537887
     _Istateicps_44 |   .1720065   .0581537     2.96   0.003     .0580274    .2859857
     _Istateicps_45 |  -.1822926   .0650629    -2.80   0.005    -.3098136   -.0547716
     _Istateicps_46 |   .1452847   .0698363     2.08   0.037      .008408    .2821613
     _Istateicps_47 |  -.0122521   .0609446    -0.20   0.841    -.1317012     .107197
     _Istateicps_48 |   .0715918   .0826628     0.87   0.386    -.0904243    .2336078
     _Istateicps_49 |   .5233502   .0841882     6.22   0.000     .3583444     .688356
     _Istateicps_51 |    .056484   .0622264     0.91   0.364    -.0654775    .1784454
     _Istateicps_52 |  -.2913221   .0544902    -5.35   0.000     -.398121   -.1845232
     _Istateicps_53 |   .1476366   .0666305     2.22   0.027     .0170433    .2782299
     _Istateicps_54 |   -.026899   .0693387    -0.39   0.698    -.1628004    .1090025
     _Istateicps_56 |   .1086773   .0602939     1.80   0.071    -.0094966    .2268512
     _Istateicps_61 |  -.4907201   .0647681    -7.58   0.000    -.6176632    -.363777
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0739074    -0.78   0.433    -.2028338     .086878
     _Istateicps_64 |    .173091   .0720096     2.40   0.016     .0319548    .3142272
     _Istateicps_65 |   -.159553   .0876822    -1.82   0.069     -.331407     .012301
     _Istateicps_66 |   .0918128   .0684787     1.34   0.180     -.042403    .2260286
     _Istateicps_67 |  -.2062293   .0593641    -3.47   0.001    -.3225809   -.0898777
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0734222     0.07   0.945    -.1388564    .1489535
     _Istateicps_72 |  -.1516232   .0692237    -2.19   0.028    -.2872991   -.0159473
     _Istateicps_73 |   .0544429   .0804913     0.68   0.499    -.1033172    .2122029
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778    .479234    -0.42   0.676    -1.139859    .7387035
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1872
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6319
Residual SS             =   30.8266221

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0041107     3.20   0.001     .0051143    .0212281
         ww1_vol_sh |   .0564202    .021558     2.62   0.009     .0141674     .098673
ww1_awards_pop10_is |   .0349864    .030735     1.14   0.255    -.0252531    .0952258
             lpop30 |  -.0173645   .0127601    -1.36   0.174    -.0423739    .0076449
           c30unemp |   .1527126   .1460979     1.05   0.296    -.1336341    .4390593
          c30urban1 |   .0057236   .0063803     0.90   0.370    -.0067816    .0182289
            c30farm |     .02803   .0300612     0.93   0.351     -.030889    .0869489
            iYf_T29 |   .0128969   .0096793     1.33   0.183    -.0060743     .031868
           MEAN9628 |  -.0000696   .0003502    -0.20   0.842     -.000756    .0006168
             c30men |  -.5458902   .2571271    -2.12   0.034     -1.04985   -.0419303
           c30black |  -.0502053   .0216077    -2.32   0.020    -.0925556    -.007855
             c30jap |   .8842438   .9827436     0.90   0.368    -1.041898    2.810386
             c30deu |   .0555887   .1163287     0.48   0.633    -.1724114    .2835889
             c30ita |  -.0096405   .1932678    -0.05   0.960    -.3884385    .3691574
             c30vet |   .2707406    .095409     2.84   0.005     .0837423    .4577389
           lc40wage |   .0564545   .0203406     2.78   0.006     .0165877    .0963213
      iwarconpro_PC |   .0048563   .0047284     1.03   0.304    -.0044112    .0141239
      _Istateicps_2 |  -.0249839   .0321472    -0.78   0.437    -.0879912    .0380235
      _Istateicps_3 |  -.0025937   .0153483    -0.17   0.866    -.0326757    .0274884
      _Istateicps_4 |  -.0258903   .0285581    -0.91   0.365    -.0818631    .0300825
      _Istateicps_5 |   .0585332   .0220529     2.65   0.008     .0153103    .1017561
      _Istateicps_6 |  -.0237489   .0341828    -0.69   0.487    -.0907459    .0432482
     _Istateicps_11 |  -.0441544   .0196001    -2.25   0.024    -.0825699   -.0057389
     _Istateicps_12 |  -.0367685   .0146102    -2.52   0.012     -.065404    -.008133
     _Istateicps_13 |  -.0040381   .0169415    -0.24   0.812    -.0372428    .0291666
     _Istateicps_14 |  -.0291064   .0202537    -1.44   0.151    -.0688029      .01059
     _Istateicps_21 |  -.0436119    .027537    -1.58   0.113    -.0975835    .0103596
     _Istateicps_22 |  -.0667818   .0267438    -2.50   0.013    -.1191986   -.0143651
     _Istateicps_23 |  -.0375624    .031547    -1.19   0.234    -.0993934    .0242686
     _Istateicps_24 |  -.0226088   .0256658    -0.88   0.378    -.0729129    .0276953
     _Istateicps_25 |  -.0741215   .0402737    -1.84   0.066    -.1530564    .0048135
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949   .0236058    -0.92   0.358    -.0679613    .0245716
     _Istateicps_41 |  -.0282889   .0208526    -1.36   0.175    -.0691592    .0125814
     _Istateicps_42 |  -.0404452    .021296    -1.90   0.058    -.0821847    .0012943
     _Istateicps_43 |   .0096145   .0312775     0.31   0.759    -.0516884    .0709173
     _Istateicps_44 |    -.03822   .0235073    -1.63   0.104    -.0842934    .0078535
     _Istateicps_45 |  -.0312308   .0195717    -1.60   0.111    -.0695906    .0071291
     _Istateicps_46 |   .0001286   .0216154     0.01   0.995    -.0422367    .0424939
     _Istateicps_47 |  -.0395406   .0213453    -1.85   0.064    -.0813767    .0022954
     _Istateicps_48 |  -.0235965   .0208125    -1.13   0.257    -.0643882    .0171952
     _Istateicps_49 |   .0013643   .0220703     0.06   0.951    -.0418926    .0446213
     _Istateicps_51 |  -.0287306   .0230644    -1.25   0.213    -.0739361    .0164749
     _Istateicps_52 |  -.0279878   .0248114    -1.13   0.259    -.0766171    .0206416
     _Istateicps_53 |  -.0133041    .020113    -0.66   0.508    -.0527248    .0261166
     _Istateicps_54 |  -.0303913   .0210394    -1.44   0.149    -.0716277    .0108451
     _Istateicps_56 |  -.0145483   .0213088    -0.68   0.495    -.0563127    .0272161
     _Istateicps_61 |   .0282924   .0425724     0.66   0.506     -.055148    .1117328
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0353924     0.21   0.835    -.0619775     .076758
     _Istateicps_64 |   .1184136   .0522365     2.27   0.023      .016032    .2207953
     _Istateicps_65 |   .0104794   .0518776     0.20   0.840    -.0911989    .1121577
     _Istateicps_66 |  -.0050731   .0351119    -0.14   0.885    -.0738912    .0637449
     _Istateicps_67 |   .0111529   .0411191     0.27   0.786    -.0694391    .0917449
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0345199     1.91   0.056    -.0016247    .1336907
     _Istateicps_72 |   -.012919   .0378455    -0.34   0.733    -.0870948    .0612567
     _Istateicps_73 |   .0276688   .0320383     0.86   0.388    -.0351252    .0904628
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1930086     0.28   0.781    -.3246342    .4319456
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.6531
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.6531
Residual SS             =  1275.789551

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0462685     5.04   0.000     .1427149     .324084
         ww1_vol_sh |   .4505476   .1264421     3.56   0.000     .2027256    .6983696
ww1_awards_pop10_is |   .5719262   .2565395     2.23   0.026     .0691179    1.074734
             lpop30 |  -.1484064   .0614523    -2.41   0.016    -.2688507   -.0279622
           c30unemp |   1.605957   .8687742     1.85   0.065    -.0968087    3.308724
          c30urban1 |   .1167555   .0433281     2.69   0.007      .031834    .2016769
            c30farm |  -.4338444   .2927422    -1.48   0.138    -1.007608    .1399197
            iYf_T29 |   .0609448   .0655151     0.93   0.352    -.0674625    .1893521
           MEAN9628 |   .0022342   .0023279     0.96   0.337    -.0023284    .0067968
             c30men |  -6.462308   1.745853    -3.70   0.000    -9.884117   -3.040499
           c30black |  -1.176993   .2108806    -5.58   0.000    -1.590311   -.7636744
             c30jap |   11.08854   4.254324     2.61   0.009     2.750215    19.42686
             c30deu |  -.0658039   .7994342    -0.08   0.934    -1.632666    1.501058
             c30ita |  -.4954921   1.453179    -0.34   0.733     -3.34367    2.352686
             c30vet |   3.894608   .9158673     4.25   0.000     2.099541    5.689675
           lc40wage |   1.038707   .1374645     7.56   0.000     .7692817    1.308133
      iwarconpro_PC |   .2327704   .0431991     5.39   0.000     .1481017    .3174391
      _Istateicps_2 |    -.11426   .2004797    -0.57   0.569    -.5071929     .278673
      _Istateicps_3 |  -.0770539   .1171564    -0.66   0.511    -.3066763    .1525685
      _Istateicps_4 |   .3082856   .2127134     1.45   0.147    -.1086249    .7251961
      _Istateicps_5 |  -.0608687   .1466865    -0.41   0.678    -.3483689    .2266315
      _Istateicps_6 |   .4949421   .2292301     2.16   0.031     .0456593    .9442249
     _Istateicps_11 |  -.1571952   .1579252    -1.00   0.320    -.4667229    .1523325
     _Istateicps_12 |  -.3657503   .1059235    -3.45   0.001    -.5733566   -.1581441
     _Istateicps_13 |   .1356128   .1442998     0.94   0.347    -.1472096    .4184353
     _Istateicps_14 |  -.3224387   .1713604    -1.88   0.060     -.658299    .0134215
     _Istateicps_21 |  -.0250645   .1908767    -0.13   0.896    -.3991758    .3490469
     _Istateicps_22 |  -.3653847   .1973159    -1.85   0.064    -.7521167    .0213474
     _Istateicps_23 |  -.1593275   .2305861    -0.69   0.490    -.6112678    .2926129
     _Istateicps_24 |  -.2352151   .1781538    -1.32   0.187    -.5843901    .1139599
     _Istateicps_25 |   .0749767   .2866778     0.26   0.794    -.4869016    .6368549
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .1806656    -1.34   0.179    -.5970626    .1111335
     _Istateicps_41 |   .0767307   .1933266     0.40   0.691    -.3021824    .4556439
     _Istateicps_42 |  -.8293752     .19077    -4.35   0.000    -1.203278   -.4554729
     _Istateicps_43 |     .40108    .236628     1.69   0.090    -.0627023    .8648622
     _Istateicps_44 |  -.0016264     .19803    -0.01   0.993     -.389758    .3865051
     _Istateicps_45 |   -.654698   .1672814    -3.91   0.000    -.9825636   -.3268324
     _Istateicps_46 |   .2102797   .1978293     1.06   0.288    -.1774587     .598018
     _Istateicps_47 |  -.2329315   .1962393    -1.19   0.235    -.6175534    .1516904
     _Istateicps_48 |  -.3283592   .1855582    -1.77   0.077    -.6920465    .0353282
     _Istateicps_49 |   .9989503    .241959     4.13   0.000     .5247194    1.473181
     _Istateicps_51 |  -.2027824   .1854358    -1.09   0.274    -.5662298    .1606651
     _Istateicps_52 |  -.6443716   .1828322    -3.52   0.000    -1.002716   -.2860272
     _Istateicps_53 |   .3266428   .1872495     1.74   0.081    -.0403595    .6936451
     _Istateicps_54 |  -.2498932   .1841753    -1.36   0.175    -.6108701    .1110838
     _Istateicps_56 |   .0839127   .1933286     0.43   0.664    -.2950043    .4628297
     _Istateicps_61 |   -.640051   .2748209    -2.33   0.020     -1.17869   -.1014119
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2462402     0.44   0.659    -.3739821    .5912619
     _Istateicps_64 |    1.36512   .2774771     4.92   0.000     .8212744    1.908965
     _Istateicps_65 |  -.0745165   .3087865    -0.24   0.809    -.6797269    .5306939
     _Istateicps_66 |   .0026817   .2627292     0.01   0.992     -.512258    .5176214
     _Istateicps_67 |  -.3375948   .2707547    -1.25   0.212    -.8682641    .1930746
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .1952446     2.20   0.028     .0462311     .811576
     _Istateicps_72 |   .2000608   .2366272     0.85   0.398      -.26372    .6638416
     _Istateicps_73 |   .6304132   .3073322     2.05   0.040     .0280531    1.232773
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.436444    -2.95   0.003    -7.048492   -1.417736
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  12.372
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992589

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0521011     6.96   0.000     .2607417    .4649744
         ww1_vol_sh |   .0017971   .0428475     0.04   0.967    -.0821825    .0857767
ww1_awards_pop10_is |   .1921598   .0776048     2.48   0.013     .0400572    .3442625
             lpop30 |   .0188265   .0328484     0.57   0.567    -.0455551    .0832082
           c30unemp |  -.1248967   .3314245    -0.38   0.706    -.7744768    .5246835
          c30urban1 |   .0017637   .0308377     0.06   0.954     -.058677    .0622045
            c30farm |   -.650749   .1721901    -3.78   0.000    -.9882354   -.3132626
            iYf_T29 |   .0004386   .0326121     0.01   0.989      -.06348    .0643573
           MEAN9628 |  -.0004211   .0016048    -0.26   0.793    -.0035665    .0027243
             c30men |  -1.025572   1.110086    -0.92   0.356    -3.201301    1.150157
           c30black |  -.2277285   .1298842    -1.75   0.080     -.482297    .0268399
             c30jap |   4.368221   3.039356     1.44   0.151    -1.588807    10.32525
             c30deu |   .5215383   .2822935     1.85   0.065    -.0317467    1.074823
             c30ita |   -.025553   .6831534    -0.04   0.970    -1.364509    1.313403
             c30vet |  -.4359812   1.080217    -0.40   0.687    -2.553168    1.681206
           lc40wage |   .4225714   .0726882     5.81   0.000     .2801052    .5650377
      iwarconpro_PC |   .2796099     .03378     8.28   0.000     .2134023    .3458174
      _Istateicps_2 |   .2551516   .1647835     1.55   0.122    -.0678181    .5781213
      _Istateicps_3 |  -.1705057   .0807361    -2.11   0.035    -.3287455   -.0122659
      _Istateicps_4 |    .273926   .1141011     2.40   0.016     .0502919    .4975601
      _Istateicps_5 |  -.2286692   .1105368    -2.07   0.039    -.4453173    -.012021
      _Istateicps_6 |   .2686098    .103238     2.60   0.009      .066267    .4709525
     _Istateicps_11 |   .3830819   .1281564     2.99   0.003        .1319    .6342638
     _Istateicps_12 |  -.0134074   .0676464    -0.20   0.843    -.1459919     .119177
     _Istateicps_13 |   .2460354   .0982372     2.50   0.012      .053494    .4385768
     _Istateicps_14 |   .3265672   .0975748     3.35   0.001     .1353242    .5178102
     _Istateicps_21 |   .0267912   .1109096     0.24   0.809    -.1905875      .24417
     _Istateicps_22 |   .0318381   .1000053     0.32   0.750    -.1641688    .2278449
     _Istateicps_23 |   .0691561   .1000579     0.69   0.489    -.1269538     .265266
     _Istateicps_24 |   .0434357   .0930088     0.47   0.640    -.1388582    .2257296
     _Istateicps_25 |    .033918   .1131233     0.30   0.764    -.1877995    .2556355
     _Istateicps_31 |   .3896854   .1232473     3.16   0.002      .148125    .6312457
     _Istateicps_32 |   .1851604   .1298427     1.43   0.154    -.0693266    .4396473
     _Istateicps_33 |     .28514   .1295851     2.20   0.028     .0311579    .5391221
     _Istateicps_34 |   .0747433   .1097114     0.68   0.496    -.1402871    .2897737
     _Istateicps_35 |   .3328325   .1267252     2.63   0.009     .0844556    .5812093
     _Istateicps_36 |   .2156875    .193302     1.12   0.265    -.1631774    .5945524
     _Istateicps_37 |   .1152507    .156666     0.74   0.462     -.191809    .4223104
     _Istateicps_40 |     .34576    .130227     2.66   0.008     .0905198    .6010003
     _Istateicps_41 |   .1423102   .1229148     1.16   0.247    -.0985985    .3832189
     _Istateicps_42 |  -.2041263   .1317752    -1.55   0.121     -.462401    .0541484
     _Istateicps_43 |   .2036536   .1268227     1.61   0.108    -.0449142    .4522215
     _Istateicps_44 |   -.055948   .1198387    -0.47   0.641    -.2908277    .1789316
     _Istateicps_45 |  -.1142586   .1273794    -0.90   0.370    -.3639176    .1354004
     _Istateicps_46 |   .2041352   .1400971     1.46   0.145    -.0704501    .4787205
     _Istateicps_47 |   .0637409   .1416588     0.45   0.653    -.2139052     .341387
     _Istateicps_48 |  -.2723034    .136513    -1.99   0.046     -.539864   -.0047428
     _Istateicps_49 |    .026546   .1357807     0.20   0.845    -.2395792    .2926712
     _Istateicps_51 |  -.1046667   .1158082    -0.90   0.366    -.3316466    .1223133
     _Istateicps_52 |   .0067989   .1020277     0.07   0.947    -.1931718    .2067696
     _Istateicps_53 |   .0750072   .1166497     0.64   0.520     -.153622    .3036365
     _Istateicps_54 |   .0425232   .1196639     0.36   0.722    -.1920137      .27706
     _Istateicps_56 |   .2674249   .1359323     1.97   0.049     .0010024    .5338473
     _Istateicps_61 |   .1422868   .1276518     1.11   0.265    -.1079061    .3924797
     _Istateicps_62 |   .1351795   .1142929     1.18   0.237    -.0888306    .3591895
     _Istateicps_63 |   .1302129   .1227984     1.06   0.289    -.1104675    .3708933
     _Istateicps_64 |    .443744   .1428013     3.11   0.002     .1638586    .7236294
     _Istateicps_65 |   .2070832   .1857961     1.11   0.265    -.1570705    .5712368
     _Istateicps_66 |  -.1952118   .1463804    -1.33   0.182    -.4821121    .0916886
     _Istateicps_67 |  -.0517882   .1073453    -0.48   0.629     -.262181    .1586047
     _Istateicps_68 |   .1782253   .1596062     1.12   0.264    -.1345971    .4910477
     _Istateicps_71 |   .0426895   .1538689     0.28   0.781     -.258888     .344267
     _Istateicps_72 |     .55665   .1135662     4.90   0.000     .3340644    .7792356
     _Istateicps_73 |   .4800399   .1172974     4.09   0.000     .2501412    .7099386
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688292   .9176535     0.08   0.940    -1.729739    1.867397
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  10.250
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650449

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868915   .0650578     2.87   0.004     .0593805    .3144026
         ww1_vol_sh |   .1055582   .0381084     2.77   0.006     .0308672    .1802493
ww1_awards_pop10_is |   .0997412   .1066005     0.94   0.349    -.1091919    .3086742
             lpop30 |    .020982   .0221823     0.95   0.344    -.0224945    .0644586
           c30unemp |   .7409981   .3101735     2.39   0.017     .1330693    1.348927
          c30urban1 |  -.0207848   .0179118    -1.16   0.246    -.0558912    .0143217
            c30farm |  -.1391921   .1022699    -1.36   0.174    -.3396373    .0612532
            iYf_T29 |  -.0773547   .0297913    -2.60   0.009    -.1357445   -.0189648
           MEAN9628 |  -.0024648   .0014776    -1.67   0.095    -.0053609    .0004313
             c30men |  -1.263338   .6585245    -1.92   0.055    -2.554022    .0273468
           c30black |  -.3873637    .076766    -5.05   0.000    -.5378224   -.2369051
             c30jap |   .8512667   1.187571     0.72   0.473     -1.47633    3.178864
             c30deu |  -.8447066   .2344438    -3.60   0.000    -1.304208   -.3852052
             c30ita |  -.0688082    .341295    -0.20   0.840    -.7377341    .6001177
             c30vet |    .945918   .3328697     2.84   0.004     .2935054    1.598331
           lc40wage |   .1775205    .044568     3.98   0.000     .0901687    .2648722
      iwarconpro_PC |  -.0352934   .0132782    -2.66   0.008    -.0613183   -.0092685
      _Istateicps_2 |   .2008432   .1088774     1.84   0.065    -.0125526    .4142391
      _Istateicps_3 |   .0285577   .0424826     0.67   0.501    -.0547066     .111822
      _Istateicps_4 |   .4183864      .1005     4.16   0.000     .2214099    .6153629
      _Istateicps_5 |    .043889   .0401302     1.09   0.274    -.0347649    .1225428
      _Istateicps_6 |   .4468934   .0916551     4.88   0.000     .2672528     .626534
     _Istateicps_11 |  -.1043796   .0634926    -1.64   0.100    -.2288228    .0200636
     _Istateicps_12 |  -.0433512   .0509687    -0.85   0.395     -.143248    .0565456
     _Istateicps_13 |   .1761743   .0742558     2.37   0.018     .0306356     .321713
     _Istateicps_14 |  -.0399175   .0809245    -0.49   0.622    -.1985267    .1186916
     _Istateicps_21 |  -.0481837    .068912    -0.70   0.484    -.1832488    .0868813
     _Istateicps_22 |  -.0969536   .0650609    -1.49   0.136    -.2244705    .0305634
     _Istateicps_23 |  -.0076968   .0815236    -0.09   0.925    -.1674802    .1520865
     _Istateicps_24 |  -.0610299   .0550768    -1.11   0.268    -.1689784    .0469186
     _Istateicps_25 |   .1698956   .0893092     1.90   0.057    -.0051472    .3449384
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0877129     0.31   0.760    -.1450739    .1987545
     _Istateicps_41 |    .168629   .0843978     2.00   0.046     .0032123    .3340456
     _Istateicps_42 |  -.1542304   .0632848    -2.44   0.015    -.2782663   -.0301944
     _Istateicps_43 |    .359333    .093611     3.84   0.000     .1758589    .5428072
     _Istateicps_44 |   .2335672   .0713542     3.27   0.001     .0937155    .3734189
     _Istateicps_45 |   -.101439   .0887176    -1.14   0.253    -.2753222    .0724442
     _Istateicps_46 |   .2923887   .0981309     2.98   0.003     .1000558    .4847217
     _Istateicps_47 |   .0710973    .084868     0.84   0.402    -.0952408    .2374355
     _Istateicps_48 |   .1294789   .1044194     1.24   0.215    -.0751794    .3341371
     _Istateicps_49 |   .4488245   .0791755     5.67   0.000     .2936433    .6040057
     _Istateicps_51 |   .1447727   .0919133     1.58   0.115    -.0353741    .3249196
     _Istateicps_52 |  -.2417397   .0617413    -3.92   0.000    -.3627504   -.1207291
     _Istateicps_53 |   .0980757    .099476     0.99   0.324    -.0968937     .293045
     _Istateicps_54 |   .0772363   .0933981     0.83   0.408    -.1058206    .2602932
     _Istateicps_56 |   .3277989    .109786     2.99   0.003     .1126223    .5429754
     _Istateicps_61 |  -.4500034   .0778367    -5.78   0.000    -.6025605   -.2974463
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0839017    -1.30   0.194    -.2733909    .0554978
     _Istateicps_64 |   .0280387   .1083801     0.26   0.796    -.1843825    .2404598
     _Istateicps_65 |  -.1306264   .0950375    -1.37   0.169    -.3168964    .0556437
     _Istateicps_66 |   .0528292   .0770946     0.69   0.493    -.0982735     .203932
     _Istateicps_67 |  -.2125683   .0620775    -3.42   0.001     -.334238   -.0908985
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .0863964    -1.00   0.317    -.2557021    .0829656
     _Istateicps_72 |   -.185053   .0766868    -2.41   0.016    -.3353565   -.0347496
     _Istateicps_73 |   .0570815   .0719619     0.79   0.428    -.0839612    .1981241
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7702268    -1.31   0.191     -2.51702    .5022132
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  10.250
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =    32.501767

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0107233     4.65   0.000     .0287991    .0708337
         ww1_vol_sh |   .0553424   .0223054     2.48   0.013     .0116247    .0990601
ww1_awards_pop10_is |   .0285471   .0315856     0.90   0.366    -.0333596    .0904538
             lpop30 |  -.0091699   .0129271    -0.71   0.478    -.0345065    .0161667
           c30unemp |   .1848281   .1540919     1.20   0.230    -.1171865    .4868428
          c30urban1 |  -.0010635   .0073222    -0.15   0.885    -.0154147    .0132876
            c30farm |   .0150933   .0356529     0.42   0.672    -.0547851    .0849717
            iYf_T29 |   .0009469   .0118566     0.08   0.936    -.0222916    .0241854
           MEAN9628 |    -.00058   .0003835    -1.51   0.130    -.0013316    .0001717
             c30men |  -.5457075   .2579606    -2.12   0.034    -1.051301   -.0401139
           c30black |  -.0388274    .022879    -1.70   0.090    -.0836694    .0060146
             c30jap |   .9125856   1.041712     0.88   0.381    -1.129133    2.954304
             c30deu |    .022995   .1118542     0.21   0.837    -.1962353    .2422253
             c30ita |   .0307142   .2033234     0.15   0.880    -.3677924    .4292208
             c30vet |   .2290143   .1005173     2.28   0.023     .0320041    .4260246
           lc40wage |   .0484989   .0204517     2.37   0.018     .0084142    .0885836
      iwarconpro_PC |   .0045248   .0050987     0.89   0.375    -.0054685    .0145181
      _Istateicps_2 |   .0230224   .0324116     0.71   0.478    -.0405032     .086548
      _Istateicps_3 |  -.0039094   .0168006    -0.23   0.816     -.036838    .0290192
      _Istateicps_4 |   .0179834   .0310559     0.58   0.563     -.042885    .0788519
      _Istateicps_5 |   .0703777   .0237305     2.97   0.003     .0238668    .1168886
      _Istateicps_6 |   .0110948   .0356949     0.31   0.756    -.0588659    .0810555
     _Istateicps_11 |  -.0288758    .019797    -1.46   0.145    -.0676771    .0099255
     _Istateicps_12 |  -.0251916   .0167728    -1.50   0.133    -.0580656    .0076825
     _Istateicps_13 |   .0267126   .0212018     1.26   0.208     -.014842    .0682673
     _Istateicps_14 |    .007753   .0221862     0.35   0.727    -.0357311    .0512371
     _Istateicps_21 |  -.0605211   .0323443    -1.87   0.061    -.1239147    .0028725
     _Istateicps_22 |  -.0707692   .0281439    -2.51   0.012    -.1259302   -.0156082
     _Istateicps_23 |  -.0316894    .033815    -0.94   0.349    -.0979655    .0345867
     _Istateicps_24 |  -.0155027   .0272599    -0.57   0.570    -.0689312    .0379258
     _Istateicps_25 |   -.080549   .0413152    -1.95   0.051    -.1615253    .0004272
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0253532     0.79   0.427     -.029547    .0698358
     _Istateicps_41 |   -.010327   .0220365    -0.47   0.639    -.0535179    .0328638
     _Istateicps_42 |  -.0229252    .022029    -1.04   0.298    -.0661012    .0202509
     _Istateicps_43 |   .0438049   .0342928     1.28   0.201    -.0234076    .1110175
     _Istateicps_44 |  -.0231958   .0235487    -0.99   0.325    -.0693504    .0229589
     _Istateicps_45 |   -.011498   .0228108    -0.50   0.614    -.0562064    .0332103
     _Istateicps_46 |   .0360301   .0230717     1.56   0.118    -.0091896    .0812498
     _Istateicps_47 |  -.0191988   .0234397    -0.82   0.413    -.0651398    .0267422
     _Istateicps_48 |  -.0094689   .0219508    -0.43   0.666    -.0524916    .0335538
     _Istateicps_49 |   -.016824   .0265299    -0.63   0.526    -.0688217    .0351736
     _Istateicps_51 |  -.0071833   .0264015    -0.27   0.786    -.0589294    .0445628
     _Istateicps_52 |   -.015887    .025846    -0.61   0.539    -.0665442    .0347703
     _Istateicps_53 |  -.0253997   .0255906    -0.99   0.321    -.0755564     .024757
     _Istateicps_54 |  -.0049766   .0231635    -0.21   0.830    -.0503762    .0404231
     _Istateicps_56 |   .0389294   .0269277     1.45   0.148    -.0138478    .0917067
     _Istateicps_61 |   .0382295   .0435102     0.88   0.380     -.047049     .123508
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489   .0356526    -0.14   0.887    -.0749268     .064829
     _Istateicps_64 |   .0830129   .0571487     1.45   0.146    -.0289966    .1950223
     _Istateicps_65 |   .0175391   .0513368     0.34   0.733    -.0830793    .1181574
     _Istateicps_66 |  -.0145873   .0350233    -0.42   0.677    -.0832317    .0540572
     _Istateicps_67 |   .0096059   .0367234     0.26   0.794    -.0623708    .0815825
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0367134     1.19   0.234    -.0282346    .1156792
     _Istateicps_72 |  -.0210778   .0442613    -0.48   0.634    -.1078284    .0656729
     _Istateicps_73 |   .0283128   .0300844     0.94   0.347    -.0306515     .087277
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2189359    -0.65   0.513    -.5723605    .2858523
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 400
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  10.250
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017642

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1368364     6.03   0.000       .55656    1.092949
         ww1_vol_sh |   .4331542   .1514201     2.86   0.004     .1363763    .7299322
ww1_awards_pop10_is |   .4680145   .2696716     1.74   0.083    -.0605322    .9965611
             lpop30 |  -.0161675   .0761632    -0.21   0.832    -.1654446    .1331096
           c30unemp |   2.124215   1.086605     1.95   0.051    -.0054911    4.253921
          c30urban1 |   .0072287   .0584562     0.12   0.902    -.1073433    .1218007
            c30farm |  -.6426075   .3927583    -1.64   0.102      -1.4124    .1271846
            iYf_T29 |  -.1318951     .10018    -1.32   0.188    -.3282444    .0644541
           MEAN9628 |   -.006001   .0038931    -1.54   0.123    -.0136314    .0016294
             c30men |  -6.459359   2.119866    -3.05   0.002    -10.61422   -2.304497
           c30black |  -.9933841   .2367539    -4.20   0.000    -1.457413   -.5293551
             c30jap |    11.5459   5.375837     2.15   0.032     1.009451    22.08234
             c30deu |  -.5917787   .7933043    -0.75   0.456    -2.146627    .9630693
             c30ita |   .1557233     1.6376     0.10   0.924    -3.053913     3.36536
             c30vet |   3.221259   .9355782     3.44   0.001     1.387559    5.054958
           lc40wage |   .9103244   .1600482     5.69   0.000     .5966356    1.224013
      iwarconpro_PC |   .2274203   .0579465     3.92   0.000     .1138473    .3409934
      _Istateicps_2 |   .6604316   .3048227     2.17   0.030     .0629901    1.257873
      _Istateicps_3 |  -.0982863   .1553906    -0.63   0.527    -.4028462    .2062736
      _Istateicps_4 |    1.01629   .2832606     3.59   0.000     .4611091     1.57147
      _Istateicps_5 |   .1302685   .1814214     0.72   0.473    -.2253108    .4858479
      _Istateicps_6 |   1.057225   .2862082     3.69   0.000     .4962673    1.618183
     _Istateicps_11 |   .0893607   .2260605     0.40   0.693    -.3537097    .5324311
     _Istateicps_12 |    -.17893   .1464187    -1.22   0.222    -.4659055    .1080454
     _Istateicps_13 |    .631846   .2262049     2.79   0.005     .1884925      1.0752
     _Istateicps_14 |   .2723731   .2210311     1.23   0.218    -.1608399    .7055861
     _Istateicps_21 |  -.2979324   .2776564    -1.07   0.283     -.842129    .2462642
     _Istateicps_22 |  -.4297303   .2481078    -1.73   0.083    -.9160125     .056552
     _Istateicps_23 |  -.0645534   .2985051    -0.22   0.829    -.6496127    .5205059
     _Istateicps_24 |  -.1205424   .2294935    -0.53   0.599    -.5703413    .3292566
     _Istateicps_25 |   -.028747    .334103    -0.09   0.931    -.6835769     .626083
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2560499     1.69   0.091    -.0696406    .9340567
     _Istateicps_41 |    .366587   .2475675     1.48   0.139    -.1186364    .8518103
     _Istateicps_42 |  -.5466495   .2294941    -2.38   0.017    -.9964497   -.0968493
     _Istateicps_43 |   .9528217   .2959452     3.22   0.001     .3727798    1.532864
     _Istateicps_44 |   .2408232   .2363918     1.02   0.308    -.2224961    .7041426
     _Istateicps_45 |  -.3362653   .2645565    -1.27   0.204    -.8547866    .1822559
     _Istateicps_46 |   .7896323   .2770417     2.85   0.004     .2466406    1.332624
     _Istateicps_47 |   .0953308   .3008713     0.32   0.751    -.4943661    .6850277
     _Istateicps_48 |  -.1003774   .2608541    -0.38   0.700     -.611642    .4108872
     _Istateicps_49 |   .7054391    .289626     2.44   0.015     .1377826    1.273096
     _Istateicps_51 |   .1449329   .2788354     0.52   0.603    -.4015745    .6914402
     _Istateicps_52 |  -.4490972   .2238606    -2.01   0.045     -.887856   -.0103384
     _Istateicps_53 |   .1314527    .279589     0.47   0.638    -.4165316    .6794371
     _Istateicps_54 |   .1602319   .2657558     0.60   0.547    -.3606398    .6811036
     _Istateicps_56 |   .9468981   .3150286     3.01   0.003     .3294534    1.564343
     _Istateicps_61 |  -.4796931   .3173898    -1.51   0.131    -1.101766    .1423794
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .2819636    -0.33   0.744    -.6447329     .460544
     _Istateicps_64 |   .7938474    .371358     2.14   0.033      .065999    1.521696
     _Istateicps_65 |   .0394076   .3612111     0.11   0.913    -.6685532    .7473684
     _Istateicps_66 |  -.1508506   .2860199    -0.53   0.598    -.7114394    .4097382
     _Istateicps_67 |  -.3625599   .2453569    -1.48   0.139    -.8434505    .1183308
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .2788722     0.25   0.805    -.4777107    .6154483
     _Istateicps_72 |   .0684012   .3184788     0.21   0.830    -.5558057    .6926081
     _Istateicps_73 |   .6408049   .2620909     2.44   0.014     .1271163    1.154494
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.218085    -3.34   0.001    -11.75807   -3.063338
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6687
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9932
Residual SS             =  457.6222274

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0262176     6.22   0.000      .111595    .2143661
         ww1_vol_sh |  -.0034661   .0381495    -0.09   0.928    -.0782376    .0713055
ww1_awards_pop10_is |   .2278298   .0750068     3.04   0.002     .0808192    .3748404
             lpop30 |  -.0196992   .0333405    -0.59   0.555    -.0850454     .045647
           c30unemp |  -.3969034    .331515    -1.20   0.231    -1.046661     .252854
          c30urban1 |   .0341968   .0329556     1.04   0.299    -.0303949    .0987885
            c30farm |  -.5369548   .1504062    -3.57   0.000    -.8317455   -.2421642
            iYf_T29 |   .0545721   .0287428     1.90   0.058    -.0017628    .1109069
           MEAN9628 |   .0018992   .0018004     1.05   0.291    -.0016295     .005428
             c30men |  -1.208349   1.102005    -1.10   0.273     -3.36824    .9515413
           c30black |  -.2788324    .130074    -2.14   0.032    -.5337728   -.0238921
             c30jap |   5.155809   2.489502     2.07   0.038     .2764754    10.03514
             c30deu |   .6686746   .2601905     2.57   0.010     .1587106    1.178639
             c30ita |  -.2307047   .6274437    -0.37   0.713    -1.460472    .9990625
             c30vet |  -.0487409   1.069244    -0.05   0.964     -2.14442    2.046939
           lc40wage |   .4648431   .0659986     7.04   0.000     .3354882     .594198
      iwarconpro_PC |   .2779728   .0368349     7.55   0.000     .2057776    .3501679
      _Istateicps_2 |  -.0112314   .0907004    -0.12   0.901     -.189001    .1665381
      _Istateicps_3 |  -.1671985   .0587847    -2.84   0.004    -.2824145   -.0519825
      _Istateicps_4 |   .0319799   .0820279     0.39   0.697    -.1287918    .1927516
      _Istateicps_5 |   -.287031   .0877403    -3.27   0.001    -.4589989   -.1150631
      _Istateicps_6 |   .0632551   .0757718     0.83   0.404    -.0852548     .211765
     _Istateicps_11 |   .2953927   .0936276     3.15   0.002      .111886    .4788994
     _Istateicps_12 |  -.0684945   .0550424    -1.24   0.213    -.1763757    .0393866
     _Istateicps_13 |   .0725467   .0643478     1.13   0.260    -.0535727     .198666
     _Istateicps_14 |   .1201342   .0762776     1.57   0.115    -.0293672    .2696356
     _Istateicps_21 |   .1057907   .0761083     1.39   0.165    -.0433788    .2549601
     _Istateicps_22 |   .0432751   .0735687     0.59   0.556    -.1009168     .187467
     _Istateicps_23 |   .0249717   .0762425     0.33   0.743    -.1244608    .1744042
     _Istateicps_24 |  -.0012449   .0673709    -0.02   0.985    -.1332895    .1307997
     _Istateicps_25 |   .0574388   .0872029     0.66   0.510    -.1134756    .2283533
     _Istateicps_31 |   .5499366   .1061402     5.18   0.000     .3419057    .7579675
     _Istateicps_32 |   .4226583    .137181     3.08   0.002     .1537884    .6915281
     _Istateicps_33 |    .372044   .1052108     3.54   0.000     .1658347    .5782533
     _Istateicps_34 |   .0395638   .0943104     0.42   0.675    -.1452812    .2244088
     _Istateicps_35 |   .5272082   .1187399     4.44   0.000     .2944822    .7599341
     _Istateicps_36 |   .5953787    .159445     3.73   0.000     .2828723    .9078852
     _Istateicps_37 |   .3701488   .1239172     2.99   0.003     .1272756    .6130219
     _Istateicps_40 |   .0992902   .1037254     0.96   0.338    -.1040079    .3025882
     _Istateicps_41 |   .0187536   .1041288     0.18   0.857    -.1853351    .2228422
     _Istateicps_42 |  -.3233064   .1041066    -3.11   0.002    -.5273516   -.1192611
     _Istateicps_43 |   .0188175   .1152323     0.16   0.870    -.2070337    .2446687
     _Istateicps_44 |  -.1593528   .1110232    -1.44   0.151    -.3769543    .0582486
     _Istateicps_45 |  -.2314598   .1165141    -1.99   0.047    -.4598232   -.0030963
     _Istateicps_46 |  -.0089986   .1311815    -0.07   0.945    -.2661096    .2481124
     _Istateicps_47 |  -.0707111   .1009548    -0.70   0.484    -.2685789    .1271566
     _Istateicps_48 |  -.3636704   .1443892    -2.52   0.012    -.6466681   -.0806727
     _Istateicps_49 |   .1081912   .1097241     0.99   0.324    -.1068641    .3232466
     _Istateicps_51 |  -.2472767   .1033496    -2.39   0.017    -.4498381   -.0447152
     _Istateicps_52 |  -.0686927   .0835377    -0.82   0.411    -.2324236    .0950383
     _Istateicps_53 |   .1123506   .1128502     1.00   0.319    -.1088316    .3335328
     _Istateicps_54 |  -.1235242   .1003781    -1.23   0.218    -.3202617    .0732133
     _Istateicps_56 |  -.0422976   .0882063    -0.48   0.632    -.2151787    .1305835
     _Istateicps_61 |   .0702502   .1106338     0.63   0.525    -.1465882    .2870885
     _Istateicps_62 |   .1182808   .0955404     1.24   0.216    -.0689749    .3055365
     _Istateicps_63 |   .1841829   .1068167     1.72   0.085    -.0251739    .3935397
     _Istateicps_64 |   .6090193   .1466239     4.15   0.000     .3216417    .8963968
     _Istateicps_65 |   .1762924   .1357217     1.30   0.194    -.0897172     .442302
     _Istateicps_66 |  -.1742881   .1274434    -1.37   0.171    -.4240727    .0754964
     _Istateicps_67 |  -.0555764   .0919326    -0.60   0.545    -.2357609    .1246081
     _Istateicps_68 |   .3751607   .1340198     2.80   0.005     .1124868    .6378346
     _Istateicps_71 |   .1442228    .115047     1.25   0.210    -.0812651    .3697108
     _Istateicps_72 |   .5858306    .095013     6.17   0.000     .3996084    .7720527
     _Istateicps_73 |     .46261    .111757     4.14   0.000     .2435703    .6816497
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138   .7656331     1.61   0.108    -.2692332    2.731993
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.6233
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.9152
Residual SS             =  102.4410505

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0185418     1.98   0.048     .0003987    .0730813
         ww1_vol_sh |   .1099746   .0331353     3.32   0.001     .0450306    .1749186
ww1_awards_pop10_is |   .1261255   .0947082     1.33   0.183    -.0594992    .3117502
             lpop30 |  -.0125949   .0124738    -1.01   0.313    -.0370431    .0118533
           c30unemp |   .6094068   .2469391     2.47   0.014      .125415    1.093399
          c30urban1 |   .0070253   .0132052     0.53   0.595    -.0188564     .032907
            c30farm |  -.0861848   .1052567    -0.82   0.413    -.2924841    .1201145
            iYf_T29 |  -.0283905   .0179121    -1.58   0.113    -.0634975    .0067165
           MEAN9628 |  -.0003738   .0011557    -0.32   0.746     -.002639    .0018914
             c30men |  -1.264086   .5771444    -2.19   0.029    -2.395269   -.1329039
           c30black |   -.433984    .084162    -5.16   0.000    -.5989385   -.2690295
             c30jap |    .735138   1.352706     0.54   0.587    -1.916117    3.386393
             c30deu |  -.7111557   .2172404    -3.27   0.001    -1.136939   -.2853724
             c30ita |   -.234159   .3174004    -0.74   0.461    -.8562524    .3879344
             c30vet |   1.116889   .3750488     2.98   0.003     .3818066    1.851971
           lc40wage |   .2101183   .0419865     5.00   0.000     .1278263    .2924103
      iwarconpro_PC |  -.0339349   .0082325    -4.12   0.000    -.0500704   -.0177995
      _Istateicps_2 |   .0041405   .0514451     0.08   0.936      -.09669    .1049709
      _Istateicps_3 |   .0339488    .032797     1.04   0.301    -.0303321    .0982297
      _Istateicps_4 |   .2386163   .0523605     4.56   0.000     .1359915    .3412411
      _Istateicps_5 |  -.0046429   .0282739    -0.16   0.870    -.0600587    .0507729
      _Istateicps_6 |   .3041236   .0539764     5.63   0.000     .1983317    .4099154
     _Istateicps_11 |  -.1669829   .0422874    -3.95   0.000    -.2498647    -.084101
     _Istateicps_12 |   -.090787   .0336277    -2.70   0.007     -.156696    -.024878
     _Istateicps_13 |   .0501752   .0407766     1.23   0.219    -.0297456    .1300959
     _Istateicps_14 |  -.1909468   .0418213    -4.57   0.000     -.272915   -.1089787
     _Istateicps_21 |   .0211005   .0495684     0.43   0.670    -.0760517    .1182527
     _Istateicps_22 |  -.0806155   .0493491    -1.63   0.102    -.1773379    .0161069
     _Istateicps_23 |   -.031761   .0520267    -0.61   0.542    -.1337315    .0702095
     _Istateicps_24 |  -.0901466   .0421196    -2.14   0.032    -.1726995   -.0075936
     _Istateicps_25 |   .1962322   .0670977     2.92   0.003     .0647231    .3277412
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935   .0550084    -2.63   0.009     -.252408   -.0367789
     _Istateicps_41 |   .0950313   .0586442     1.62   0.105    -.0199093    .2099718
     _Istateicps_42 |  -.2260176   .0558934    -4.04   0.000    -.3355666   -.1164686
     _Istateicps_43 |   .2192397   .0605134     3.62   0.000     .1006356    .3378438
     _Istateicps_44 |   .1720065   .0552901     3.11   0.002       .06364    .2803731
     _Istateicps_45 |  -.1822926   .0641466    -2.84   0.004    -.3080175   -.0565677
     _Istateicps_46 |   .1452847   .0680637     2.13   0.033     .0118823    .2786871
     _Istateicps_47 |  -.0122521   .0580435    -0.21   0.833    -.1260153    .1015111
     _Istateicps_48 |   .0715918   .0814083     0.88   0.379    -.0879655    .2311491
     _Istateicps_49 |   .5233502   .0883657     5.92   0.000     .3501567    .6965437
     _Istateicps_51 |    .056484   .0588371     0.96   0.337    -.0588346    .1718025
     _Istateicps_52 |  -.2913221   .0460677    -6.32   0.000    -.3816131   -.2010311
     _Istateicps_53 |   .1476366   .0634022     2.33   0.020     .0233706    .2719027
     _Istateicps_54 |   -.026899   .0631863    -0.43   0.670    -.1507419     .096944
     _Istateicps_56 |   .1086773   .0541925     2.01   0.045     .0024619    .2148927
     _Istateicps_61 |  -.4907201   .0570366    -8.60   0.000    -.6025098   -.3789304
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0710632    -0.82   0.415    -.1972591    .0813033
     _Istateicps_64 |    .173091   .0699605     2.47   0.013      .035971    .3102111
     _Istateicps_65 |   -.159553   .0789975    -2.02   0.043    -.3143852   -.0047208
     _Istateicps_66 |   .0918128   .0582993     1.57   0.115    -.0224517    .2060773
     _Istateicps_67 |  -.2062293   .0551153    -3.74   0.000    -.3142534   -.0982053
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0715083     0.07   0.944    -.1351051    .1452022
     _Istateicps_72 |  -.1516232   .0642734    -2.36   0.018    -.2775967   -.0256496
     _Istateicps_73 |   .0544429    .073167     0.74   0.457    -.0889618    .1978475
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .5303919    -0.38   0.705    -1.240127    .8389713
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1872
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6319
Residual SS             =   30.8266221

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0041474     3.18   0.001     .0050424       .0213
         ww1_vol_sh |   .0564202   .0222348     2.54   0.011     .0128408    .0999997
ww1_awards_pop10_is |   .0349864   .0285701     1.22   0.221    -.0210101    .0909828
             lpop30 |  -.0173645   .0128827    -1.35   0.178    -.0426141    .0078851
           c30unemp |   .1527126   .1448871     1.05   0.292    -.1312609    .4366861
          c30urban1 |   .0057236   .0061733     0.93   0.354    -.0063758    .0178231
            c30farm |     .02803   .0333193     0.84   0.400    -.0372746    .0933345
            iYf_T29 |   .0128969   .0096236     1.34   0.180     -.005965    .0317587
           MEAN9628 |  -.0000696   .0003661    -0.19   0.849    -.0007871    .0006478
             c30men |  -.5458902   .2722664    -2.00   0.045    -1.079523   -.0122578
           c30black |  -.0502053   .0217478    -2.31   0.021    -.0928302   -.0075804
             c30jap |   .8842438   .8554092     1.03   0.301    -.7923274    2.560815
             c30deu |   .0555887    .116055     0.48   0.632    -.1718748    .2830523
             c30ita |  -.0096405   .1867915    -0.05   0.959    -.3757451     .356464
             c30vet |   .2707406   .0955949     2.83   0.005      .083378    .4581032
           lc40wage |   .0564545   .0188757     2.99   0.003     .0194587    .0934503
      iwarconpro_PC |   .0048563   .0047281     1.03   0.304    -.0044105    .0141232
      _Istateicps_2 |  -.0249839   .0303698    -0.82   0.411    -.0845076    .0345399
      _Istateicps_3 |  -.0025937   .0138974    -0.19   0.852    -.0298321    .0246448
      _Istateicps_4 |  -.0258903   .0274994    -0.94   0.346    -.0797883    .0280076
      _Istateicps_5 |   .0585332   .0201667     2.90   0.004     .0190072    .0980593
      _Istateicps_6 |  -.0237489   .0329682    -0.72   0.471    -.0883654    .0408676
     _Istateicps_11 |  -.0441544   .0180752    -2.44   0.015    -.0795812   -.0087276
     _Istateicps_12 |  -.0367685   .0132339    -2.78   0.005    -.0627065   -.0108305
     _Istateicps_13 |  -.0040381   .0140531    -0.29   0.774    -.0315816    .0235055
     _Istateicps_14 |  -.0291064   .0197051    -1.48   0.140    -.0677277    .0095148
     _Istateicps_21 |  -.0436119   .0259406    -1.68   0.093    -.0944546    .0072307
     _Istateicps_22 |  -.0667818    .025494    -2.62   0.009    -.1167492   -.0168145
     _Istateicps_23 |  -.0375624   .0304525    -1.23   0.217    -.0972482    .0221234
     _Istateicps_24 |  -.0226088   .0245593    -0.92   0.357    -.0707442    .0255266
     _Istateicps_25 |  -.0741215   .0393902    -1.88   0.060    -.1513248    .0030819
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949   .0228585    -0.95   0.343    -.0664967     .023107
     _Istateicps_41 |  -.0282889   .0200318    -1.41   0.158    -.0675506    .0109727
     _Istateicps_42 |  -.0404452   .0205128    -1.97   0.049    -.0806495   -.0002409
     _Istateicps_43 |   .0096145   .0293627     0.33   0.743    -.0479353    .0671642
     _Istateicps_44 |    -.03822   .0224638    -1.70   0.089    -.0822482    .0058083
     _Istateicps_45 |  -.0312308   .0186442    -1.68   0.094    -.0677727    .0053112
     _Istateicps_46 |   .0001286   .0206731     0.01   0.995      -.04039    .0406472
     _Istateicps_47 |  -.0395406   .0205216    -1.93   0.054    -.0797622    .0006809
     _Istateicps_48 |  -.0235965   .0197975    -1.19   0.233    -.0623988    .0152058
     _Istateicps_49 |   .0013643   .0217601     0.06   0.950    -.0412847    .0440134
     _Istateicps_51 |  -.0287306   .0223665    -1.28   0.199    -.0725681     .015107
     _Istateicps_52 |  -.0279878   .0237908    -1.18   0.239     -.074617    .0186414
     _Istateicps_53 |  -.0133041   .0191026    -0.70   0.486    -.0507446    .0241363
     _Istateicps_54 |  -.0303913   .0200823    -1.51   0.130    -.0697519    .0089694
     _Istateicps_56 |  -.0145483   .0205813    -0.71   0.480     -.054887    .0257904
     _Istateicps_61 |   .0282924   .0374325     0.76   0.450     -.045074    .1016588
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0332247     0.22   0.824    -.0577289    .0725094
     _Istateicps_64 |   .1184136   .0436428     2.71   0.007     .0328752     .203952
     _Istateicps_65 |   .0104794    .046509     0.23   0.822    -.0806767    .1016354
     _Istateicps_66 |  -.0050731   .0320564    -0.16   0.874    -.0679024    .0577562
     _Istateicps_67 |   .0111529   .0372274     0.30   0.764    -.0618115    .0841173
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0282599     2.34   0.019     .0106446    .1214213
     _Istateicps_72 |   -.012919   .0347897    -0.37   0.710    -.0811056    .0552675
     _Istateicps_73 |   .0276688   .0295002     0.94   0.348    -.0301505    .0854881
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1970827     0.27   0.785    -.3326192    .4399306
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.6531
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.6531
Residual SS             =  1275.789551

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0518851     4.50   0.000     .1317066    .3350923
         ww1_vol_sh |   .4505476   .1320673     3.41   0.001     .1917005    .7093947
ww1_awards_pop10_is |   .5719262   .2392119     2.39   0.017     .1030795    1.040773
             lpop30 |  -.1484064   .0614516    -2.42   0.016    -.2688494   -.0279635
           c30unemp |   1.605957   .8982127     1.79   0.074    -.1545072    3.366422
          c30urban1 |   .1167555   .0413334     2.82   0.005     .0357435    .1977674
            c30farm |  -.4338444   .3455068    -1.26   0.209    -1.111025    .2433365
            iYf_T29 |   .0609448   .0690412     0.88   0.377    -.0743735    .1962631
           MEAN9628 |   .0022342   .0024806     0.90   0.368    -.0026277    .0070961
             c30men |  -6.462308   1.941075    -3.33   0.001    -10.26674   -2.657872
           c30black |  -1.176993   .2248104    -5.24   0.000    -1.617613   -.7363725
             c30jap |   11.08854   3.816258     2.91   0.004     3.608809    18.56827
             c30deu |  -.0658039   .7976937    -0.08   0.934    -1.629255    1.497647
             c30ita |  -.4954921   1.464074    -0.34   0.735    -3.365025    2.374041
             c30vet |   3.894608   .9671089     4.03   0.000     1.999109    5.790106
           lc40wage |   1.038707   .1319385     7.87   0.000     .7801124    1.297302
      iwarconpro_PC |   .2327704   .0471009     4.94   0.000     .1404543    .3250865
      _Istateicps_2 |    -.11426   .1962717    -0.58   0.560    -.4989454    .2704254
      _Istateicps_3 |  -.0770539   .1030287    -0.75   0.455    -.2789864    .1248786
      _Istateicps_4 |   .3082856   .2006898     1.54   0.125    -.0850593    .7016305
      _Istateicps_5 |  -.0608687   .1283902    -0.47   0.635    -.3125089    .1907715
      _Istateicps_6 |   .4949421     .21634     2.29   0.022     .0709234    .9189608
     _Istateicps_11 |  -.1571952   .1454886    -1.08   0.280    -.4423475    .1279572
     _Istateicps_12 |  -.3657503   .0942516    -3.88   0.000    -.5504801   -.1810205
     _Istateicps_13 |   .1356128   .1262674     1.07   0.283    -.1118667    .3830924
     _Istateicps_14 |  -.3224387   .1581948    -2.04   0.042    -.6324948   -.0123826
     _Istateicps_21 |  -.0250645   .1837145    -0.14   0.891    -.3851382    .3350093
     _Istateicps_22 |  -.3653847   .1871066    -1.95   0.051    -.7321068    .0013375
     _Istateicps_23 |  -.1593275   .2144298    -0.74   0.457    -.5796021    .2609472
     _Istateicps_24 |  -.2352151   .1721743    -1.37   0.172    -.5726705    .1022403
     _Istateicps_25 |   .0749767   .2789346     0.27   0.788    -.4717251    .6216785
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645    .172077    -1.41   0.158    -.5802293    .0943002
     _Istateicps_41 |   .0767307   .1853013     0.41   0.679     -.286453    .4399145
     _Istateicps_42 |  -.8293752    .188149    -4.41   0.000    -1.198141   -.4606099
     _Istateicps_43 |     .40108   .2217587     1.81   0.071    -.0335591     .835719
     _Istateicps_44 |  -.0016264   .1936655    -0.01   0.993    -.3812039     .377951
     _Istateicps_45 |   -.654698   .1602055    -4.09   0.000     -.968695   -.3407009
     _Istateicps_46 |   .2102797   .1944042     1.08   0.279    -.1707456     .591305
     _Istateicps_47 |  -.2329315   .1923358    -1.21   0.226    -.6099028    .1440398
     _Istateicps_48 |  -.3283592   .1760533    -1.87   0.062    -.6734172    .0166989
     _Istateicps_49 |   .9989503   .2533082     3.94   0.000     .5024754    1.495425
     _Istateicps_51 |  -.2027824   .1844777    -1.10   0.272     -.564352    .1587872
     _Istateicps_52 |  -.6443716   .1745127    -3.69   0.000    -.9864103    -.302333
     _Istateicps_53 |   .3266428   .1866665     1.75   0.080    -.0392168    .6925024
     _Istateicps_54 |  -.2498932   .1785424    -1.40   0.162    -.5998299    .1000435
     _Istateicps_56 |   .0839127   .1940801     0.43   0.665    -.2964773    .4643026
     _Istateicps_61 |   -.640051   .2430937    -2.63   0.008    -1.116506   -.1635961
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399    .241492     0.45   0.653    -.3646757    .5819554
     _Istateicps_64 |    1.36512   .2562416     5.33   0.000     .8628953    1.867344
     _Istateicps_65 |  -.0745165   .2734686    -0.27   0.785    -.6105051    .4614722
     _Istateicps_66 |   .0026817   .2433772     0.01   0.991    -.4743288    .4796922
     _Istateicps_67 |  -.3375948   .2441183    -1.38   0.167    -.8160577    .1408682
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .1821719     2.35   0.019     .0718532    .7859539
     _Istateicps_72 |   .2000608   .2251054     0.89   0.374    -.2411376    .6412592
     _Istateicps_73 |   .6304132   .2737844     2.30   0.021     .0938056    1.167021
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.549685    -2.73   0.006    -7.270441   -1.195787
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:  10.485
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992589

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0523264     6.93   0.000     .2603001     .465416
         ww1_vol_sh |   .0017971   .0441475     0.04   0.968    -.0847305    .0883247
ww1_awards_pop10_is |   .1921598   .0744505     2.58   0.010     .0462395    .3380802
             lpop30 |   .0188265   .0331205     0.57   0.570    -.0460884    .0837415
           c30unemp |  -.1248967   .3492878    -0.36   0.721    -.8094881    .5596948
          c30urban1 |   .0017637   .0320938     0.05   0.956    -.0611389    .0646664
            c30farm |   -.650749   .1874976    -3.47   0.001    -1.018238   -.2832604
            iYf_T29 |   .0004386   .0340764     0.01   0.990    -.0663498    .0672271
           MEAN9628 |  -.0004211   .0017323    -0.24   0.808    -.0038164    .0029742
             c30men |  -1.025572   1.251577    -0.82   0.413    -3.478618    1.427474
           c30black |  -.2277285   .1341326    -1.70   0.090    -.4906236    .0351665
             c30jap |   4.368221   2.905175     1.50   0.133    -1.325817    10.06226
             c30deu |   .5215383   .2841866     1.84   0.066    -.0354571    1.078534
             c30ita |   -.025553   .6889792    -0.04   0.970    -1.375927    1.324821
             c30vet |  -.4359812   1.087466    -0.40   0.688    -2.567375    1.695413
           lc40wage |   .4225714   .0743455     5.68   0.000     .2768569    .5682859
      iwarconpro_PC |   .2796099    .039673     7.05   0.000     .2018521    .3573676
      _Istateicps_2 |   .2551516   .1272464     2.01   0.045     .0057533      .50455
      _Istateicps_3 |  -.1705057   .0709661    -2.40   0.016    -.3095967   -.0314147
      _Istateicps_4 |    .273926   .1019452     2.69   0.007      .074117    .4737349
      _Istateicps_5 |  -.2286692   .0944849    -2.42   0.016    -.4138561   -.0434822
      _Istateicps_6 |   .2686098   .1006888     2.67   0.008     .0712634    .4659561
     _Istateicps_11 |   .3830819   .1175332     3.26   0.001      .152721    .6134427
     _Istateicps_12 |  -.0134074   .0611987    -0.22   0.827    -.1333546    .1065397
     _Istateicps_13 |   .2460354   .0898697     2.74   0.006      .069894    .4221768
     _Istateicps_14 |   .3265672   .0914008     3.57   0.000      .147425    .5057093
     _Istateicps_21 |   .0267912   .1095003     0.24   0.807    -.1878255    .2414079
     _Istateicps_22 |   .0318381   .0975365     0.33   0.744      -.15933    .2230061
     _Istateicps_23 |   .0691561   .1025949     0.67   0.500    -.1319263    .2702385
     _Istateicps_24 |   .0434357   .0901113     0.48   0.630    -.1331791    .2200506
     _Istateicps_25 |    .033918   .1105609     0.31   0.759    -.1827775    .2506135
     _Istateicps_31 |   .3896854   .1253903     3.11   0.002     .1439249    .6354458
     _Istateicps_32 |   .1851604   .1349639     1.37   0.170     -.079364    .4496848
     _Istateicps_33 |     .28514   .1315613     2.17   0.030     .0272847    .5429954
     _Istateicps_34 |   .0747433   .1116175     0.67   0.503     -.144023    .2935096
     _Istateicps_35 |   .3328325   .1298975     2.56   0.010      .078238     .587427
     _Istateicps_36 |   .2156875   .1916278     1.13   0.260    -.1598961     .591271
     _Istateicps_37 |   .1152507   .1512368     0.76   0.446     -.181168    .4116693
     _Istateicps_40 |     .34576   .1252068     2.76   0.006     .1003592    .5911609
     _Istateicps_41 |   .1423102   .1201017     1.18   0.236    -.0930847    .3777051
     _Istateicps_42 |  -.2041263   .1276174    -1.60   0.110    -.4542519    .0459992
     _Istateicps_43 |   .2036536    .117169     1.74   0.082    -.0259934    .4333007
     _Istateicps_44 |   -.055948   .1197096    -0.47   0.640    -.2905746    .1786785
     _Istateicps_45 |  -.1142586   .1265349    -0.90   0.367    -.3622625    .1337453
     _Istateicps_46 |   .2041352   .1435903     1.42   0.155    -.0772967     .485567
     _Istateicps_47 |   .0637409   .1382029     0.46   0.645    -.2071317    .3346135
     _Istateicps_48 |  -.2723034   .1389265    -1.96   0.050    -.5445944   -.0000124
     _Istateicps_49 |    .026546   .1434246     0.19   0.853    -.2545611    .3076531
     _Istateicps_51 |  -.1046667   .1197857    -0.87   0.382    -.3394424    .1301091
     _Istateicps_52 |   .0067989   .1007722     0.07   0.946    -.1907111    .2043089
     _Istateicps_53 |   .0750072   .1185226     0.63   0.527    -.1572927    .3073072
     _Istateicps_54 |   .0425232   .1195621     0.36   0.722    -.1918142    .2768605
     _Istateicps_56 |   .2674249   .1387933     1.93   0.054     -.004605    .5394547
     _Istateicps_61 |   .1422868   .1250309     1.14   0.255    -.1027693    .3873429
     _Istateicps_62 |   .1351795   .1150059     1.18   0.240    -.0902281     .360587
     _Istateicps_63 |   .1302129   .1245933     1.05   0.296    -.1139856    .3744114
     _Istateicps_64 |    .443744   .1528719     2.90   0.004     .1441205    .7433674
     _Istateicps_65 |   .2070832   .1688915     1.23   0.220    -.1239382    .5381045
     _Istateicps_66 |  -.1952118   .1409384    -1.39   0.166    -.4714459    .0810224
     _Istateicps_67 |  -.0517882   .1064085    -0.49   0.626     -.260345    .1567686
     _Istateicps_68 |   .1782253   .1638762     1.09   0.277    -.1429662    .4994169
     _Istateicps_71 |   .0426895   .1487962     0.29   0.774    -.2489457    .3343246
     _Istateicps_72 |     .55665   .1150803     4.84   0.000     .3310967    .7822033
     _Istateicps_73 |   .4800399   .1175942     4.08   0.000     .2495596    .7105203
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688292   .9571657     0.07   0.943    -1.807181     1.94484
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   8.777
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650449

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868915   .0624082     2.99   0.003     .0645737    .3092094
         ww1_vol_sh |   .1055582    .041217     2.56   0.010     .0247744    .1863421
ww1_awards_pop10_is |   .0997412   .0981023     1.02   0.309    -.0925358    .2920182
             lpop30 |    .020982    .023195     0.90   0.366    -.0244793    .0664434
           c30unemp |   .7409981   .3424861     2.16   0.030     .0697376    1.412259
          c30urban1 |  -.0207848   .0173896    -1.20   0.232    -.0548678    .0132982
            c30farm |  -.1391921   .1200686    -1.16   0.246    -.3745221     .096138
            iYf_T29 |  -.0773547   .0286427    -2.70   0.007    -.1334934    -.021216
           MEAN9628 |  -.0024648   .0014168    -1.74   0.082    -.0052417    .0003122
             c30men |  -1.263338   .6585559    -1.92   0.055    -2.554083    .0274084
           c30black |  -.3873637   .0732054    -5.29   0.000    -.5308437   -.2438838
             c30jap |   .8512667   1.257637     0.68   0.498    -1.613656     3.31619
             c30deu |  -.8447066   .2430587    -3.48   0.001    -1.321093   -.3683203
             c30ita |  -.0688082   .3402387    -0.20   0.840    -.7356638    .5980474
             c30vet |    .945918    .345857     2.73   0.006     .2680507    1.623785
           lc40wage |   .1775205   .0468533     3.79   0.000     .0856897    .2693512
      iwarconpro_PC |  -.0352934   .0126179    -2.80   0.005     -.060024   -.0105628
      _Istateicps_2 |   .2008432   .1057405     1.90   0.058    -.0064043    .4080907
      _Istateicps_3 |   .0285577   .0373419     0.76   0.444     -.044631    .1017464
      _Istateicps_4 |   .4183864   .0989592     4.23   0.000       .22443    .6123428
      _Istateicps_5 |    .043889   .0348375     1.26   0.208    -.0243913    .1121693
      _Istateicps_6 |   .4468934   .0882616     5.06   0.000      .273904    .6198829
     _Istateicps_11 |  -.1043796   .0550548    -1.90   0.058     -.212285    .0035257
     _Istateicps_12 |  -.0433512   .0418637    -1.04   0.300    -.1254025    .0387001
     _Istateicps_13 |   .1761743   .0697561     2.53   0.012     .0394549    .3128937
     _Istateicps_14 |  -.0399175   .0814237    -0.49   0.624     -.199505      .11967
     _Istateicps_21 |  -.0481837   .0636637    -0.76   0.449    -.1729623    .0765949
     _Istateicps_22 |  -.0969536   .0578216    -1.68   0.094    -.2102819    .0163747
     _Istateicps_23 |  -.0076968   .0720153    -0.11   0.915    -.1488443    .1334506
     _Istateicps_24 |  -.0610299   .0483464    -1.26   0.207    -.1557872    .0337274
     _Istateicps_25 |   .1698956   .0807923     2.10   0.035     .0115456    .3282455
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0819224     0.33   0.743    -.1337247    .1874054
     _Istateicps_41 |    .168629   .0726384     2.32   0.020     .0262602    .3109977
     _Istateicps_42 |  -.1542304   .0580221    -2.66   0.008    -.2679516   -.0405091
     _Istateicps_43 |    .359333   .0904816     3.97   0.000     .1819923    .5366738
     _Istateicps_44 |   .2335672   .0683898     3.42   0.001     .0995257    .3676087
     _Istateicps_45 |   -.101439   .0818564    -1.24   0.215    -.2618746    .0589966
     _Istateicps_46 |   .2923887   .0915687     3.19   0.001     .1129174    .4718601
     _Istateicps_47 |   .0710973   .0775727     0.92   0.359    -.0809423     .223137
     _Istateicps_48 |   .1294789   .1015077     1.28   0.202    -.0694725    .3284302
     _Istateicps_49 |   .4488245   .0765762     5.86   0.000      .298738     .598911
     _Istateicps_51 |   .1447727   .0859591     1.68   0.092     -.023704    .3132494
     _Istateicps_52 |  -.2417397   .0534866    -4.52   0.000    -.3465716   -.1369079
     _Istateicps_53 |   .0980757   .0954459     1.03   0.304    -.0889948    .2851462
     _Istateicps_54 |   .0772363   .0862398     0.90   0.370    -.0917906    .2462632
     _Istateicps_56 |   .3277989   .1019897     3.21   0.001     .1279028    .5276949
     _Istateicps_61 |  -.4500034   .0721857    -6.23   0.000    -.5914848   -.3085221
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0786027    -1.39   0.166     -.263005    .0451119
     _Istateicps_64 |   .0280387   .0972929     0.29   0.773     -.162652    .2187293
     _Istateicps_65 |  -.1306264   .0908118    -1.44   0.150    -.3086143    .0473615
     _Istateicps_66 |   .0528292   .0685611     0.77   0.441     -.081548    .1872064
     _Istateicps_67 |  -.2125683   .0551215    -3.86   0.000    -.3206044   -.1045321
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .0799412    -1.08   0.280    -.2430501    .0703136
     _Istateicps_72 |   -.185053   .0666222    -2.78   0.005    -.3156302   -.0544758
     _Istateicps_73 |   .0570815   .0647164     0.88   0.378    -.0697603    .1839232
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .8468443    -1.19   0.234    -2.667188    .6523808
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   8.777
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =    32.501767

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0100515     4.96   0.000     .0301158    .0695171
         ww1_vol_sh |   .0553424   .0231142     2.39   0.017     .0100394    .1006454
ww1_awards_pop10_is |   .0285471   .0295769     0.97   0.334    -.0294226    .0865168
             lpop30 |  -.0091699   .0131523    -0.70   0.486     -.034948    .0166083
           c30unemp |   .1848281    .156372     1.18   0.237    -.1216555    .4913117
          c30urban1 |  -.0010635   .0072267    -0.15   0.883    -.0152276    .0131005
            c30farm |   .0150933   .0402389     0.38   0.708    -.0637736    .0939602
            iYf_T29 |   .0009469   .0126204     0.08   0.940    -.0237886    .0256824
           MEAN9628 |    -.00058   .0003798    -1.53   0.127    -.0013244    .0001645
             c30men |  -.5457075   .2758303    -1.98   0.048    -1.086325     -.00509
           c30black |  -.0388274   .0220743    -1.76   0.079    -.0820922    .0044374
             c30jap |   .9125856   .9597441     0.95   0.342    -.9684784     2.79365
             c30deu |    .022995   .1106381     0.21   0.835    -.1938516    .2398416
             c30ita |   .0307142    .196746     0.16   0.876    -.3549009    .4163292
             c30vet |   .2290143   .1028587     2.23   0.026     .0274149    .4306137
           lc40wage |   .0484989   .0187033     2.59   0.010     .0118412    .0851566
      iwarconpro_PC |   .0045248     .00526     0.86   0.390    -.0057845    .0148342
      _Istateicps_2 |   .0230224   .0305169     0.75   0.451    -.0367896    .0828345
      _Istateicps_3 |  -.0039094   .0152329    -0.26   0.797    -.0337652    .0259464
      _Istateicps_4 |   .0179834   .0296261     0.61   0.544    -.0400826    .0760494
      _Istateicps_5 |   .0703777   .0217218     3.24   0.001     .0278038    .1129515
      _Istateicps_6 |   .0110948   .0342818     0.32   0.746    -.0560962    .0782858
     _Istateicps_11 |  -.0288758   .0186084    -1.55   0.121    -.0653477    .0075961
     _Istateicps_12 |  -.0251916   .0153264    -1.64   0.100    -.0552307    .0048476
     _Istateicps_13 |   .0267126   .0177617     1.50   0.133    -.0080997     .061525
     _Istateicps_14 |    .007753   .0210484     0.37   0.713    -.0335011    .0490072
     _Istateicps_21 |  -.0605211   .0299296    -2.02   0.043    -.1191821   -.0018601
     _Istateicps_22 |  -.0707692   .0268819    -2.63   0.008    -.1234567   -.0180817
     _Istateicps_23 |  -.0316894   .0334276    -0.95   0.343    -.0972063    .0338275
     _Istateicps_24 |  -.0155027   .0258065    -0.60   0.548    -.0660826    .0350771
     _Istateicps_25 |   -.080549   .0403221    -2.00   0.046    -.1595789   -.0015192
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0238119     0.85   0.398     -.026526    .0668148
     _Istateicps_41 |   -.010327   .0211572    -0.49   0.625    -.0517943    .0311402
     _Istateicps_42 |  -.0229252   .0210776    -1.09   0.277    -.0642366    .0183862
     _Istateicps_43 |   .0438049   .0304967     1.44   0.151    -.0159676    .1035774
     _Istateicps_44 |  -.0231958   .0224803    -1.03   0.302    -.0672563    .0208647
     _Istateicps_45 |   -.011498   .0211762    -0.54   0.587    -.0530027    .0300066
     _Istateicps_46 |   .0360301   .0212935     1.69   0.091    -.0057045    .0777646
     _Istateicps_47 |  -.0191988   .0221246    -0.87   0.386    -.0625622    .0241646
     _Istateicps_48 |  -.0094689   .0210241    -0.45   0.652    -.0506753    .0317375
     _Istateicps_49 |   -.016824   .0262728    -0.64   0.522    -.0683178    .0346697
     _Istateicps_51 |  -.0071833   .0251036    -0.29   0.775    -.0563855    .0420189
     _Istateicps_52 |   -.015887   .0249404    -0.64   0.524    -.0647692    .0329953
     _Istateicps_53 |  -.0253997   .0251047    -1.01   0.312    -.0746041    .0238046
     _Istateicps_54 |  -.0049766    .021451    -0.23   0.817    -.0470197    .0370666
     _Istateicps_56 |   .0389294   .0257416     1.51   0.130    -.0115233    .0893821
     _Istateicps_61 |   .0382295   .0401342     0.95   0.341    -.0404322    .1168912
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489   .0342042    -0.15   0.883     -.072088    .0619902
     _Istateicps_64 |   .0830129   .0515125     1.61   0.107    -.0179498    .1839755
     _Istateicps_65 |   .0175391   .0475188     0.37   0.712    -.0755961    .1106742
     _Istateicps_66 |  -.0145873   .0337203    -0.43   0.665    -.0806778    .0515033
     _Istateicps_67 |   .0096059   .0340875     0.28   0.778    -.0572044    .0764161
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0312026     1.40   0.161    -.0174337    .1048782
     _Istateicps_72 |  -.0210778   .0400761    -0.53   0.599    -.0996256      .05747
     _Istateicps_73 |   .0283128    .029011     0.98   0.329    -.0285478    .0851733
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2256955    -0.63   0.526    -.5856091    .2991009
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 600
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   8.777
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017642

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1255426     6.57   0.000     .5786954    1.070813
         ww1_vol_sh |   .4331542   .1623667     2.67   0.008     .1149214    .7513871
ww1_awards_pop10_is |   .4680145   .2589383     1.81   0.071    -.0394953    .9755242
             lpop30 |  -.0161675   .0772774    -0.21   0.834    -.1676285    .1352935
           c30unemp |   2.124215    1.16789     1.82   0.069    -.1648082    4.413238
          c30urban1 |   .0072287   .0586059     0.12   0.902    -.1076368    .1220942
            c30farm |  -.6426075   .4609628    -1.39   0.163    -1.546078     .260863
            iYf_T29 |  -.1318951    .106286    -1.24   0.215    -.3402119    .0764216
           MEAN9628 |   -.006001   .0035981    -1.67   0.095    -.0130531    .0010511
             c30men |  -6.459359   2.362825    -2.73   0.006    -11.09041   -1.828308
           c30black |  -.9933841   .2137899    -4.65   0.000    -1.412405   -.5743637
             c30jap |    11.5459   5.372163     2.15   0.032     1.016652    22.07514
             c30deu |  -.5917787   .7408564    -0.80   0.424     -2.04383    .8602731
             c30ita |   .1557233   1.659423     0.09   0.925    -3.096686    3.408133
             c30vet |   3.221259   .9797675     3.29   0.001      1.30095    5.141568
           lc40wage |   .9103244   .1524058     5.97   0.000     .6116144    1.209034
      iwarconpro_PC |   .2274203   .0634412     3.58   0.000     .1030778    .3517628
      _Istateicps_2 |   .6604316   .2811619     2.35   0.019     .1093643    1.211499
      _Istateicps_3 |  -.0982863   .1381323    -0.71   0.477    -.3690206    .1724479
      _Istateicps_4 |    1.01629   .2738297     3.71   0.000     .4795933    1.552986
      _Istateicps_5 |   .1302685   .1575795     0.83   0.408    -.1785815    .4391186
      _Istateicps_6 |   1.057225   .2780859     3.80   0.000     .5121867    1.602263
     _Istateicps_11 |   .0893607   .2044594     0.44   0.662    -.3113724    .4900939
     _Istateicps_12 |    -.17893   .1271803    -1.41   0.159    -.4281989    .0703389
     _Istateicps_13 |    .631846    .199254     3.17   0.002     .2413153    1.022377
     _Istateicps_14 |   .2723731   .2124266     1.28   0.200    -.1439753    .6887215
     _Istateicps_21 |  -.2979324   .2655632    -1.12   0.262    -.8184267    .2225619
     _Istateicps_22 |  -.4297303   .2376334    -1.81   0.071    -.8954831    .0360226
     _Istateicps_23 |  -.0645534   .3015438    -0.21   0.830    -.6555683    .5264615
     _Istateicps_24 |  -.1205424   .2195654    -0.55   0.583    -.5508827     .309798
     _Istateicps_25 |   -.028747   .3255347    -0.09   0.930    -.6667832    .6092893
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2387046     1.81   0.070    -.0356445    .9000606
     _Istateicps_41 |    .366587   .2378062     1.54   0.123    -.0995046    .8326785
     _Istateicps_42 |  -.5466495   .2310547    -2.37   0.018    -.9995084   -.0937905
     _Istateicps_43 |   .9528217   .2777065     3.43   0.001     .4085269    1.497117
     _Istateicps_44 |   .2408232   .2337743     1.03   0.303    -.2173659    .6990124
     _Istateicps_45 |  -.3362653   .2458076    -1.37   0.171    -.8180393    .1455087
     _Istateicps_46 |   .7896323   .2641128     2.99   0.003     .2719807    1.307284
     _Istateicps_47 |   .0953308   .2854501     0.33   0.738    -.4641412    .6548028
     _Istateicps_48 |  -.1003774   .2471799    -0.41   0.685    -.5848411    .3840863
     _Istateicps_49 |   .7054391   .2907911     2.43   0.015      .135499    1.275379
     _Istateicps_51 |   .1449329   .2791127     0.52   0.604    -.4021179    .6919836
     _Istateicps_52 |  -.4490972   .2199852    -2.04   0.041    -.8802602   -.0179342
     _Istateicps_53 |   .1314527   .2819138     0.47   0.641    -.4210882    .6839937
     _Istateicps_54 |   .1602319   .2552368     0.63   0.530    -.3400231    .6604868
     _Istateicps_56 |   .9468981   .3114494     3.04   0.002     .3364684    1.557328
     _Istateicps_61 |  -.4796931   .3162094    -1.52   0.129    -1.099452    .1400659
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .2832488    -0.33   0.745    -.6472518     .463063
     _Istateicps_64 |   .7938474   .3598313     2.21   0.027      .088591    1.499104
     _Istateicps_65 |   .0394076   .3596929     0.11   0.913    -.6655776    .7443928
     _Istateicps_66 |  -.1508506   .2897079    -0.52   0.603    -.7186677    .4169665
     _Istateicps_67 |  -.3625599   .2381953    -1.52   0.128    -.8294141    .1042944
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .2651481     0.26   0.795    -.4508119    .5885496
     _Istateicps_72 |   .0684012   .2967821     0.23   0.818     -.513281    .6500835
     _Istateicps_73 |   .6408049   .2649549     2.42   0.016     .1215029    1.160107
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.398297    -3.09   0.002    -12.11128   -2.710129
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6687
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9932
Residual SS             =  457.6222274

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0301319     5.41   0.000     .1039231    .2220379
         ww1_vol_sh |  -.0034661   .0382129    -0.09   0.928    -.0783619    .0714298
ww1_awards_pop10_is |   .2278298    .067749     3.36   0.001     .0950443    .3606154
             lpop30 |  -.0196992   .0368098    -0.54   0.593     -.091845    .0524466
           c30unemp |  -.3969034   .3567043    -1.11   0.266    -1.096031    .3022241
          c30urban1 |   .0341968   .0367547     0.93   0.352    -.0378411    .1062347
            c30farm |  -.5369548   .1478056    -3.63   0.000    -.8266485   -.2472611
            iYf_T29 |   .0545721   .0306012     1.78   0.075    -.0054051    .1145493
           MEAN9628 |   .0018992    .001897     1.00   0.317    -.0018188    .0056173
             c30men |  -1.208349   1.200915    -1.01   0.314    -3.562099      1.1454
           c30black |  -.2788324   .1381905    -2.02   0.044    -.5496807   -.0079841
             c30jap |   5.155809    2.34343     2.20   0.028     .5627708    9.748847
             c30deu |   .6686746    .280539     2.38   0.017     .1188283    1.218521
             c30ita |  -.2307047   .6327218    -0.36   0.715    -1.470817    1.009407
             c30vet |  -.0487409   1.050818    -0.05   0.963    -2.108307    2.010825
           lc40wage |   .4648431   .0572894     8.11   0.000     .3525579    .5771283
      iwarconpro_PC |   .2779728   .0419535     6.63   0.000     .1957454    .3602001
      _Istateicps_2 |  -.0112314   .0845564    -0.13   0.894     -.176959    .1544962
      _Istateicps_3 |  -.1671985   .0543479    -3.08   0.002    -.2737184   -.0606787
      _Istateicps_4 |   .0319799   .0757795     0.42   0.673    -.1165451    .1805049
      _Istateicps_5 |   -.287031   .0817401    -3.51   0.000    -.4472386   -.1268234
      _Istateicps_6 |   .0632551   .0748939     0.84   0.398    -.0835343    .2100445
     _Istateicps_11 |   .2953927   .0921104     3.21   0.001     .1148597    .4759257
     _Istateicps_12 |  -.0684945   .0522292    -1.31   0.190    -.1708619    .0338729
     _Istateicps_13 |   .0725467   .0585035     1.24   0.215    -.0421182    .1872115
     _Istateicps_14 |   .1201342   .0724992     1.66   0.098    -.0219616      .26223
     _Istateicps_21 |   .1057907   .0757542     1.40   0.163    -.0426848    .2542661
     _Istateicps_22 |   .0432751   .0693426     0.62   0.533    -.0926339     .179184
     _Istateicps_23 |   .0249717   .0754067     0.33   0.741    -.1228227    .1727662
     _Istateicps_24 |  -.0012449   .0630782    -0.02   0.984     -.124876    .1223861
     _Istateicps_25 |   .0574388   .0855499     0.67   0.502    -.1102359    .2251136
     _Istateicps_31 |   .5499366   .1074848     5.12   0.000     .3392704    .7606029
     _Istateicps_32 |   .4226583   .1343408     3.15   0.002      .159355    .6859615
     _Istateicps_33 |    .372044   .1054394     3.53   0.000     .1653867    .5787013
     _Istateicps_34 |   .0395638   .0867767     0.46   0.648    -.1305154     .209643
     _Istateicps_35 |   .5272082   .1187745     4.44   0.000     .2944144     .760002
     _Istateicps_36 |   .5953787   .1710843     3.48   0.001     .2600597    .9306978
     _Istateicps_37 |   .3701488    .126176     2.93   0.003     .1228484    .6174492
     _Istateicps_40 |   .0992902   .1018613     0.97   0.330    -.1003544    .2989347
     _Istateicps_41 |   .0187536   .1027844     0.18   0.855    -.1827001    .2202073
     _Istateicps_42 |  -.3233064   .0981714    -3.29   0.001    -.5157188   -.1308939
     _Istateicps_43 |   .0188175   .1134517     0.17   0.868    -.2035437    .2411787
     _Istateicps_44 |  -.1593528   .1067846    -1.49   0.136    -.3686468    .0499411
     _Istateicps_45 |  -.2314598   .1170029    -1.98   0.048    -.4607813   -.0021382
     _Istateicps_46 |  -.0089986   .1311868    -0.07   0.945      -.26612    .2481228
     _Istateicps_47 |  -.0707111   .1035899    -0.68   0.495    -.2737436    .1323213
     _Istateicps_48 |  -.3636704   .1410177    -2.58   0.010    -.6400599   -.0872809
     _Istateicps_49 |   .1081912   .1039735     1.04   0.298    -.0955931    .3119755
     _Istateicps_51 |  -.2472767   .0977026    -2.53   0.011    -.4387703    -.055783
     _Istateicps_52 |  -.0686927   .0831943    -0.83   0.409    -.2317504    .0943651
     _Istateicps_53 |   .1123506   .1011172     1.11   0.267    -.0858355    .3105367
     _Istateicps_54 |  -.1235242   .0976794    -1.26   0.206    -.3149723    .0679239
     _Istateicps_56 |  -.0422976   .0831894    -0.51   0.611    -.2053457    .1207506
     _Istateicps_61 |   .0702502   .1013708     0.69   0.488    -.1284329    .2689332
     _Istateicps_62 |   .1182808    .090428     1.31   0.191    -.0589549    .2955164
     _Istateicps_63 |   .1841829   .1023523     1.80   0.072    -.0164239    .3847897
     _Istateicps_64 |   .6090193   .1496627     4.07   0.000     .3156857    .9023528
     _Istateicps_65 |   .1762924   .1268273     1.39   0.165    -.0722845    .4248693
     _Istateicps_66 |  -.1742881   .1185316    -1.47   0.141    -.4066058    .0580295
     _Istateicps_67 |  -.0555764     .08293    -0.67   0.503    -.2181163    .1069635
     _Istateicps_68 |   .3751607   .1255209     2.99   0.003     .1291443    .6211772
     _Istateicps_71 |   .1442228   .1118072     1.29   0.197    -.0749153    .3633609
     _Istateicps_72 |   .5858306   .0880088     6.66   0.000     .4133364    .7583247
     _Istateicps_73 |     .46261   .1019363     4.54   0.000     .2628185    .6624015
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138   .7852137     1.57   0.117    -.3076105    2.770371
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.6233
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.9152
Residual SS             =  102.4410505

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674    .018723     1.96   0.050     .0000436    .0734364
         ww1_vol_sh |   .1099746   .0334884     3.28   0.001     .0443386    .1756106
ww1_awards_pop10_is |   .1261255   .0903082     1.40   0.163    -.0508753    .3031263
             lpop30 |  -.0125949   .0126605    -0.99   0.320     -.037409    .0122192
           c30unemp |   .6094068   .2690533     2.27   0.024      .082072    1.136742
          c30urban1 |   .0070253   .0135914     0.52   0.605    -.0196133    .0336639
            c30farm |  -.0861848   .1201847    -0.72   0.473    -.3217425    .1493729
            iYf_T29 |  -.0283905   .0185485    -1.53   0.126    -.0647449    .0079639
           MEAN9628 |  -.0003738   .0012527    -0.30   0.765     -.002829    .0020815
             c30men |  -1.264086   .5320711    -2.38   0.018    -2.306926    -.221246
           c30black |   -.433984   .0841374    -5.16   0.000    -.5988902   -.2690778
             c30jap |    .735138   1.344761     0.55   0.585    -1.900545    3.370821
             c30deu |  -.7111557   .2283771    -3.11   0.002    -1.158767   -.2635448
             c30ita |   -.234159   .3069345    -0.76   0.446    -.8357397    .3674216
             c30vet |   1.116889   .3935354     2.84   0.005     .3455735    1.888204
           lc40wage |   .2101183   .0465198     4.52   0.000     .1189412    .3012953
      iwarconpro_PC |  -.0339349    .007976    -4.25   0.000    -.0495676   -.0183023
      _Istateicps_2 |   .0041405   .0411532     0.10   0.920    -.0765183    .0847992
      _Istateicps_3 |   .0339488   .0284925     1.19   0.233    -.0218955    .0897932
      _Istateicps_4 |   .2386163   .0438835     5.44   0.000     .1526063    .3246263
      _Istateicps_5 |  -.0046429   .0252837    -0.18   0.854     -.054198    .0449122
      _Istateicps_6 |   .3041236   .0444849     6.84   0.000     .2169347    .3913124
     _Istateicps_11 |  -.1669829    .037521    -4.45   0.000    -.2405227    -.093443
     _Istateicps_12 |   -.090787   .0306416    -2.96   0.003    -.1508435   -.0307305
     _Istateicps_13 |   .0501752   .0357524     1.40   0.160    -.0198982    .1202485
     _Istateicps_14 |  -.1909468   .0375569    -5.08   0.000    -.2645569   -.1173368
     _Istateicps_21 |   .0211005   .0428083     0.49   0.622    -.0628022    .1050031
     _Istateicps_22 |  -.0806155   .0467908    -1.72   0.085    -.1723237    .0110927
     _Istateicps_23 |   -.031761   .0435836    -0.73   0.466    -.1171834    .0536614
     _Istateicps_24 |  -.0901466   .0363124    -2.48   0.013    -.1613175   -.0189756
     _Istateicps_25 |   .1962322   .0615653     3.19   0.001     .0755665    .3168978
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935   .0496782    -2.91   0.004     -.241961    -.047226
     _Istateicps_41 |   .0950313   .0535946     1.77   0.076    -.0100122    .2000747
     _Istateicps_42 |  -.2260176   .0538929    -4.19   0.000    -.3316457   -.1203895
     _Istateicps_43 |   .2192397   .0552445     3.97   0.000     .1109625    .3275169
     _Istateicps_44 |   .1720065   .0508608     3.38   0.001     .0723212    .2716918
     _Istateicps_45 |  -.1822926    .063437    -2.87   0.004    -.3066268   -.0579584
     _Istateicps_46 |   .1452847   .0678271     2.14   0.032     .0123459    .2782234
     _Istateicps_47 |  -.0122521   .0540723    -0.23   0.821    -.1182318    .0937276
     _Istateicps_48 |   .0715918   .0809332     0.88   0.376    -.0870344    .2302179
     _Istateicps_49 |   .5233502   .0881785     5.94   0.000     .3505236    .6961769
     _Istateicps_51 |    .056484   .0520966     1.08   0.278    -.0456235    .1585914
     _Istateicps_52 |  -.2913221   .0402889    -7.23   0.000    -.3702869   -.2123573
     _Istateicps_53 |   .1476366   .0581108     2.54   0.011     .0337416    .2615316
     _Istateicps_54 |   -.026899   .0579674    -0.46   0.643    -.1405129     .086715
     _Istateicps_56 |   .1086773   .0439221     2.47   0.013     .0225915     .194763
     _Istateicps_61 |  -.4907201   .0500945    -9.80   0.000    -.5889034   -.3925367
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0696189    -0.83   0.405    -.1944284    .0784726
     _Istateicps_64 |    .173091   .0660496     2.62   0.009     .0436363    .3025458
     _Istateicps_65 |   -.159553   .0719878    -2.22   0.027    -.3006464   -.0184596
     _Istateicps_66 |   .0918128   .0487895     1.88   0.060    -.0038128    .1874384
     _Istateicps_67 |  -.2062293   .0523439    -3.94   0.000    -.3088215   -.1036372
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0673797     0.07   0.940    -.1270132    .1371104
     _Istateicps_72 |  -.1516232   .0586182    -2.59   0.010    -.2665127   -.0367336
     _Istateicps_73 |   .0544429   .0649559     0.84   0.402    -.0728683     .181754
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .5759728    -0.35   0.728    -1.329464    .9283081
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1872
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6319
Residual SS             =   30.8266221

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0040631     3.24   0.001     .0052076    .0211348
         ww1_vol_sh |   .0564202   .0229746     2.46   0.014     .0113909    .1014496
ww1_awards_pop10_is |   .0349864   .0271794     1.29   0.198    -.0182844    .0882571
             lpop30 |  -.0173645   .0129027    -1.35   0.178    -.0426534    .0079244
           c30unemp |   .1527126   .1462203     1.04   0.296    -.1338739     .439299
          c30urban1 |   .0057236   .0062299     0.92   0.358    -.0064868    .0179341
            c30farm |     .02803   .0358552     0.78   0.434    -.0422449    .0983049
            iYf_T29 |   .0128969   .0098578     1.31   0.191    -.0064241    .0322179
           MEAN9628 |  -.0000696   .0003789    -0.18   0.854    -.0008123     .000673
             c30men |  -.5458902   .3037483    -1.80   0.072    -1.141226    .0494455
           c30black |  -.0502053   .0225803    -2.22   0.026    -.0944619   -.0059487
             c30jap |   .8842438   .7808536     1.13   0.257    -.6462011    2.414689
             c30deu |   .0555887   .1135817     0.49   0.625    -.1670274    .2782049
             c30ita |  -.0096405   .1840523    -0.05   0.958    -.3703764    .3510953
             c30vet |   .2707406   .1006882     2.69   0.007     .0733954    .4680858
           lc40wage |   .0564545   .0187296     3.01   0.003     .0197452    .0931639
      iwarconpro_PC |   .0048563   .0046999     1.03   0.301    -.0043552    .0140679
      _Istateicps_2 |  -.0249839    .028623    -0.87   0.383    -.0810839    .0311162
      _Istateicps_3 |  -.0025937   .0134598    -0.19   0.847    -.0289744    .0237871
      _Istateicps_4 |  -.0258903   .0264134    -0.98   0.327    -.0776596    .0258789
      _Istateicps_5 |   .0585332   .0193517     3.02   0.002     .0206046    .0964619
      _Istateicps_6 |  -.0237489   .0313296    -0.76   0.448    -.0851538    .0376561
     _Istateicps_11 |  -.0441544   .0170407    -2.59   0.010    -.0775535   -.0107553
     _Istateicps_12 |  -.0367685    .012178    -3.02   0.003     -.060637      -.0129
     _Istateicps_13 |  -.0040381   .0130656    -0.31   0.757    -.0296462      .02157
     _Istateicps_14 |  -.0291064   .0185433    -1.57   0.116    -.0654507    .0072378
     _Istateicps_21 |  -.0436119   .0244619    -1.78   0.075    -.0915565    .0043326
     _Istateicps_22 |  -.0667818   .0244945    -2.73   0.006    -.1147902   -.0187735
     _Istateicps_23 |  -.0375624   .0287831    -1.31   0.192    -.0939763    .0188515
     _Istateicps_24 |  -.0226088   .0233484    -0.97   0.333    -.0683708    .0231532
     _Istateicps_25 |  -.0741215   .0374825    -1.98   0.048    -.1475859    -.000657
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949   .0214708    -1.01   0.312    -.0637769    .0203872
     _Istateicps_41 |  -.0282889   .0193967    -1.46   0.145    -.0663058     .009728
     _Istateicps_42 |  -.0404452   .0202664    -2.00   0.046    -.0801667   -.0007238
     _Istateicps_43 |   .0096145    .027354     0.35   0.725    -.0439983    .0632272
     _Istateicps_44 |    -.03822   .0217042    -1.76   0.078    -.0807593    .0043194
     _Istateicps_45 |  -.0312308   .0183872    -1.70   0.089     -.067269    .0048075
     _Istateicps_46 |   .0001286   .0206173     0.01   0.995    -.0402806    .0405378
     _Istateicps_47 |  -.0395406   .0202813    -1.95   0.051    -.0792912    .0002099
     _Istateicps_48 |  -.0235965   .0199151    -1.18   0.236    -.0626294    .0154364
     _Istateicps_49 |   .0013643   .0214469     0.06   0.949    -.0406708    .0433995
     _Istateicps_51 |  -.0287306   .0215641    -1.33   0.183    -.0709954    .0135342
     _Istateicps_52 |  -.0279878   .0228032    -1.23   0.220    -.0726812    .0167056
     _Istateicps_53 |  -.0133041   .0186259    -0.71   0.475    -.0498102     .023202
     _Istateicps_54 |  -.0303913   .0195541    -1.55   0.120    -.0687165     .007934
     _Istateicps_56 |  -.0145483   .0204744    -0.71   0.477    -.0546775    .0255809
     _Istateicps_61 |   .0282924   .0356216     0.79   0.427    -.0415246    .0981094
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903    .033148     0.22   0.824    -.0575786    .0723591
     _Istateicps_64 |   .1184136   .0380213     3.11   0.002     .0438933    .1929339
     _Istateicps_65 |   .0104794   .0409975     0.26   0.798    -.0698742    .0908329
     _Istateicps_66 |  -.0050731   .0288248    -0.18   0.860    -.0615688    .0514225
     _Istateicps_67 |   .0111529   .0348691     0.32   0.749    -.0571892     .079495
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0259677     2.54   0.011     .0151372    .1169288
     _Istateicps_72 |   -.012919   .0325796    -0.40   0.692    -.0767739    .0509358
     _Istateicps_73 |   .0276688     .02714     1.02   0.308    -.0255247    .0808623
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .2066286     0.26   0.795     -.351329    .4586404
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: iAGRI_PF ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c
> 30ita c30vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istat
> eicps_13 _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_3
> 3 _Istateicps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Ista
> teicps_45 _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_
> 56 _Istateicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Ist
> ateicps_72 _Istateicps_73 _Istateicps_98
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.6531
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.6531
Residual SS             =  1275.789551

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995    .055015     4.24   0.000     .1255721    .3412269
         ww1_vol_sh |   .4505476   .1340001     3.36   0.001     .1879122     .713183
ww1_awards_pop10_is |   .5719262    .226653     2.52   0.012     .1276945    1.016158
             lpop30 |  -.1484064   .0611902    -2.43   0.015    -.2683371   -.0284758
           c30unemp |   1.605957   .9357527     1.72   0.086    -.2280842    3.439999
          c30urban1 |   .1167555   .0406905     2.87   0.004     .0370035    .1965074
            c30farm |  -.4338444   .3906345    -1.11   0.267    -1.199474     .331785
            iYf_T29 |   .0609448   .0721001     0.85   0.398    -.0803689    .2022585
           MEAN9628 |   .0022342   .0027049     0.83   0.409    -.0030672    .0075356
             c30men |  -6.462308   2.114465    -3.06   0.002    -10.60658   -2.318032
           c30black |  -1.176993   .2316132    -5.08   0.000    -1.630946   -.7230392
             c30jap |   11.08854   3.475318     3.19   0.001     4.277039    17.90004
             c30deu |  -.0658039   .7839147    -0.08   0.933    -1.602248    1.470641
             c30ita |  -.4954921   1.437535    -0.34   0.730    -3.313008    2.322024
             c30vet |   3.894608   1.032579     3.77   0.000      1.87079    5.918426
           lc40wage |   1.038707   .1297717     8.00   0.000     .7843594    1.293055
      iwarconpro_PC |   .2327704   .0514532     4.52   0.000      .131924    .3336168
      _Istateicps_2 |    -.11426    .181929    -0.63   0.530    -.4708342    .2423143
      _Istateicps_3 |  -.0770539   .0946681    -0.81   0.416       -.2626    .1084922
      _Istateicps_4 |   .3082856   .1812846     1.70   0.089    -.0470257    .6635969
      _Istateicps_5 |  -.0608687   .1190492    -0.51   0.609    -.2942008    .1724633
      _Istateicps_6 |   .4949421   .1965307     2.52   0.012      .109749    .8801352
     _Istateicps_11 |  -.1571952   .1320527    -1.19   0.234    -.4160137    .1016233
     _Istateicps_12 |  -.3657503   .0865427    -4.23   0.000    -.5353709   -.1961298
     _Istateicps_13 |   .1356128   .1141845     1.19   0.235    -.0881846    .3594103
     _Istateicps_14 |  -.3224387   .1425964    -2.26   0.024    -.6019225    -.042955
     _Istateicps_21 |  -.0250645   .1769323    -0.14   0.887    -.3718454    .3217165
     _Istateicps_22 |  -.3653847   .1772385    -2.06   0.039    -.7127658   -.0180035
     _Istateicps_23 |  -.1593275   .1993671    -0.80   0.424    -.5500798    .2314249
     _Istateicps_24 |  -.2352151   .1583826    -1.49   0.138    -.5456393    .0752092
     _Istateicps_25 |   .0749767   .2636828     0.28   0.776    -.4418321    .5917855
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .1621088    -1.50   0.134    -.5606919    .0747629
     _Istateicps_41 |   .0767307   .1733609     0.44   0.658    -.2630503    .4165118
     _Istateicps_42 |  -.8293752   .1799396    -4.61   0.000     -1.18205   -.4767001
     _Istateicps_43 |     .40108    .197795     2.03   0.043     .0134089     .788751
     _Istateicps_44 |  -.0016264     .17888    -0.01   0.993    -.3522248    .3489719
     _Istateicps_45 |   -.654698   .1467932    -4.46   0.000    -.9424073   -.3669887
     _Istateicps_46 |   .2102797   .1821775     1.15   0.248    -.1467817     .567341
     _Istateicps_47 |  -.2329315   .1857701    -1.25   0.210    -.5970342    .1311712
     _Istateicps_48 |  -.3283592   .1647903    -1.99   0.046    -.6513422   -.0053761
     _Istateicps_49 |   .9989503   .2477575     4.03   0.000     .5133545    1.484546
     _Istateicps_51 |  -.2027824   .1729114    -1.17   0.241    -.5416825    .1361177
     _Istateicps_52 |  -.6443716   .1597489    -4.03   0.000    -.9574738   -.3312695
     _Istateicps_53 |   .3266428   .1812156     1.80   0.071    -.0285333    .6818189
     _Istateicps_54 |  -.2498932   .1687718    -1.48   0.139    -.5806798    .0808935
     _Istateicps_56 |   .0839127    .182541     0.46   0.646    -.2738611    .4416864
     _Istateicps_61 |   -.640051   .2213374    -2.89   0.004    -1.073864   -.2062377
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2434538     0.45   0.655    -.3685208    .5858006
     _Istateicps_64 |    1.36512   .2403145     5.68   0.000     .8941118    1.836127
     _Istateicps_65 |  -.0745165   .2447632    -0.30   0.761    -.5542436    .4052106
     _Istateicps_66 |   .0026817    .221473     0.01   0.990    -.4313973    .4367607
     _Istateicps_67 |  -.3375948   .2214024    -1.52   0.127    -.7715355     .096346
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .1721566     2.49   0.013     .0914829    .7663242
     _Istateicps_72 |   .2000608   .2095571     0.95   0.340    -.2106635    .6107851
     _Istateicps_73 |   .6304132   .2418862     2.61   0.009     .1563248    1.104502
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.597382    -2.65   0.008    -7.363925   -1.102304
-------------------------------------------------------------------------------------
Warning: X'X matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   9.625
                                                      Number of obs =     3022
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992589

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0516754     7.02   0.000     .2615762      .46414
         ww1_vol_sh |   .0017971   .0451077     0.04   0.968    -.0866124    .0902066
ww1_awards_pop10_is |   .1921598   .0702337     2.74   0.006     .0545043    .3298154
             lpop30 |   .0188265   .0343496     0.55   0.584    -.0484975    .0861506
           c30unemp |  -.1248967   .3653644    -0.34   0.732    -.8409977    .5912043
          c30urban1 |   .0017637   .0330626     0.05   0.957    -.0630378    .0665653
            c30farm |   -.650749   .1951414    -3.33   0.001    -1.033219   -.2682788
            iYf_T29 |   .0004386   .0361212     0.01   0.990    -.0703577     .071235
           MEAN9628 |  -.0004211   .0017799    -0.24   0.813    -.0039097    .0030675
             c30men |  -1.025572   1.382772    -0.74   0.458    -3.735755    1.684611
           c30black |  -.2277285   .1309293    -1.74   0.082    -.4843454    .0288883
             c30jap |   4.368221   2.768526     1.58   0.115    -1.057991    9.794433
             c30deu |   .5215383   .2886871     1.81   0.071    -.0442779    1.087355
             c30ita |   -.025553   .7002849    -0.04   0.971    -1.398086     1.34698
             c30vet |  -.4359812   1.063695    -0.41   0.682    -2.520785    1.648822
           lc40wage |   .4225714   .0678392     6.23   0.000     .2896091    .5555338
      iwarconpro_PC |   .2796099   .0448353     6.24   0.000     .1917344    .3674853
      _Istateicps_2 |   .2551516    .111455     2.29   0.022     .0367038    .4735995
      _Istateicps_3 |  -.1705057   .0662868    -2.57   0.010    -.3004255   -.0405859
      _Istateicps_4 |    .273926   .0938636     2.92   0.004     .0899567    .4578953
      _Istateicps_5 |  -.2286692   .0851116    -2.69   0.007    -.3954848   -.0618535
      _Istateicps_6 |   .2686098   .1012295     2.65   0.008     .0702036    .4670159
     _Istateicps_11 |   .3830819   .1128284     3.40   0.001     .1619422    .6042216
     _Istateicps_12 |  -.0134074    .059042    -0.23   0.820    -.1291276    .1023127
     _Istateicps_13 |   .2460354   .0856521     2.87   0.004     .0781604    .4139104
     _Istateicps_14 |   .3265672    .088874     3.67   0.000     .1523773     .500757
     _Istateicps_21 |   .0267912   .1049445     0.26   0.798    -.1788962    .2324787
     _Istateicps_22 |   .0318381   .0949067     0.34   0.737    -.1541756    .2178517
     _Istateicps_23 |   .0691561   .1046021     0.66   0.509    -.1358602    .2741725
     _Istateicps_24 |   .0434357   .0823431     0.53   0.598    -.1179539    .2048253
     _Istateicps_25 |    .033918   .1097398     0.31   0.757     -.181168     .249004
     _Istateicps_31 |   .3896854   .1232585     3.16   0.002     .1481031    .6312677
     _Istateicps_32 |   .1851604   .1349924     1.37   0.170      -.07942    .4497407
     _Istateicps_33 |     .28514    .133015     2.14   0.032     .0244354    .5458446
     _Istateicps_34 |   .0747433   .1112611     0.67   0.502    -.1433245    .2928111
     _Istateicps_35 |   .3328325   .1287551     2.59   0.010     .0804771    .5851879
     _Istateicps_36 |   .2156875   .1910363     1.13   0.259    -.1587368    .5901117
     _Istateicps_37 |   .1152507   .1465069     0.79   0.431    -.1718975    .4023989
     _Istateicps_40 |     .34576   .1271284     2.72   0.007     .0965929    .5949272
     _Istateicps_41 |   .1423102    .120495     1.18   0.238    -.0938556     .378476
     _Istateicps_42 |  -.2041263   .1237136    -1.65   0.099    -.4466005    .0383479
     _Istateicps_43 |   .2036536   .1113848     1.83   0.067    -.0146566    .4219639
     _Istateicps_44 |   -.055948   .1180147    -0.47   0.635    -.2872525    .1753565
     _Istateicps_45 |  -.1142586   .1264339    -0.90   0.366    -.3620644    .1335472
     _Istateicps_46 |   .2041352   .1442414     1.42   0.157    -.0785727    .4868431
     _Istateicps_47 |   .0637409   .1384518     0.46   0.645    -.2076197    .3351015
     _Istateicps_48 |  -.2723034   .1369741    -1.99   0.047    -.5407678    -.003839
     _Istateicps_49 |    .026546   .1435972     0.18   0.853    -.2548993    .3079913
     _Istateicps_51 |  -.1046667   .1241557    -0.84   0.399    -.3480074    .1386741
     _Istateicps_52 |   .0067989   .1005121     0.07   0.946    -.1902011    .2037989
     _Istateicps_53 |   .0750072   .1187903     0.63   0.528    -.1578174    .3078319
     _Istateicps_54 |   .0425232   .1233979     0.34   0.730    -.1993324    .2843787
     _Istateicps_56 |   .2674249    .138856     1.93   0.054    -.0047278    .5395776
     _Istateicps_61 |   .1422868   .1247063     1.14   0.254     -.102133    .3867066
     _Istateicps_62 |   .1351795   .1142543     1.18   0.237    -.0887548    .3591137
     _Istateicps_63 |   .1302129   .1241272     1.05   0.294    -.1130719    .3734977
     _Istateicps_64 |    .443744   .1575213     2.82   0.005      .135008      .75248
     _Istateicps_65 |   .2070832   .1654359     1.25   0.211    -.1171653    .5313316
     _Istateicps_66 |  -.1952118   .1358936    -1.44   0.151    -.4615583    .0711348
     _Istateicps_67 |  -.0517882   .1052278    -0.49   0.623     -.258031    .1544546
     _Istateicps_68 |   .1782253    .161783     1.10   0.271    -.1388635    .4953142
     _Istateicps_71 |   .0426895   .1488868     0.29   0.774    -.2491232    .3345022
     _Istateicps_72 |     .55665    .118993     4.68   0.000     .3234279     .789872
     _Istateicps_73 |   .4800399   .1204105     3.99   0.000     .2440397    .7160401
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688292   .9474802     0.07   0.942    -1.788198    1.925856
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   7.937
                                                      Number of obs =     2329
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650449

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868915   .0626564     2.98   0.003     .0640873    .3096958
         ww1_vol_sh |   .1055582   .0428096     2.47   0.014      .021653    .1894634
ww1_awards_pop10_is |   .0997412   .0966139     1.03   0.302    -.0896185    .2891009
             lpop30 |    .020982   .0229436     0.91   0.360    -.0239866    .0659507
           c30unemp |   .7409981   .3756499     1.97   0.049     .0047378    1.477258
          c30urban1 |  -.0207848   .0173181    -1.20   0.230    -.0547275     .013158
            c30farm |  -.1391921   .1322429    -1.05   0.293    -.3983834    .1199993
            iYf_T29 |  -.0773547    .028841    -2.68   0.007    -.1338819   -.0208275
           MEAN9628 |  -.0024648   .0014512    -1.70   0.089     -.005309    .0003794
             c30men |  -1.263338   .6047388    -2.09   0.037    -2.448604   -.0780712
           c30black |  -.3873637   .0680769    -5.69   0.000     -.520792   -.2539355
             c30jap |   .8512667    1.33296     0.64   0.523    -1.761287     3.46382
             c30deu |  -.8447066   .2583977    -3.27   0.001    -1.351157   -.3382564
             c30ita |  -.0688082   .3288118    -0.21   0.834    -.7132674     .575651
             c30vet |    .945918   .3392845     2.79   0.005     .2809326    1.610903
           lc40wage |   .1775205   .0473083     3.75   0.000     .0847978    .2702431
      iwarconpro_PC |  -.0352934   .0126498    -2.79   0.005    -.0600865   -.0105003
      _Istateicps_2 |   .2008432   .1013743     1.98   0.048     .0021534    .3995331
      _Istateicps_3 |   .0285577   .0333802     0.86   0.392    -.0368664    .0939817
      _Istateicps_4 |   .4183864   .0984248     4.25   0.000     .2254773    .6112954
      _Istateicps_5 |    .043889   .0310005     1.42   0.157    -.0168709    .1046489
      _Istateicps_6 |   .4468934   .0844644     5.29   0.000     .2813462    .6124407
     _Istateicps_11 |  -.1043796   .0496243    -2.10   0.035    -.2016415   -.0071177
     _Istateicps_12 |  -.0433512   .0373556    -1.16   0.246    -.1165669    .0298644
     _Istateicps_13 |   .1761743   .0673779     2.61   0.009      .044116    .3082326
     _Istateicps_14 |  -.0399175   .0836312    -0.48   0.633    -.2038316    .1239966
     _Istateicps_21 |  -.0481837   .0579747    -0.83   0.406    -.1618121    .0654446
     _Istateicps_22 |  -.0969536    .052565    -1.84   0.065    -.1999791    .0060719
     _Istateicps_23 |  -.0076968   .0688827    -0.11   0.911    -.1427045    .1273109
     _Istateicps_24 |  -.0610299   .0388013    -1.57   0.116     -.137079    .0150192
     _Istateicps_25 |   .1698956    .074761     2.27   0.023     .0233667    .3164245
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0770807     0.35   0.728     -.124235    .1779157
     _Istateicps_41 |    .168629    .067731     2.49   0.013     .0358787    .3013792
     _Istateicps_42 |  -.1542304    .055195    -2.79   0.005    -.2624105   -.0460502
     _Istateicps_43 |    .359333    .086683     4.15   0.000     .1894375    .5292286
     _Istateicps_44 |   .2335672   .0642176     3.64   0.000      .107703    .3594314
     _Istateicps_45 |   -.101439    .079876    -1.27   0.204    -.2579932    .0551151
     _Istateicps_46 |   .2923887    .088661     3.30   0.001     .1186165     .466161
     _Istateicps_47 |   .0710973   .0686852     1.04   0.301    -.0635232    .2057179
     _Istateicps_48 |   .1294789   .0994967     1.30   0.193    -.0655311    .3244888
     _Istateicps_49 |   .4488245   .0726693     6.18   0.000     .3063953    .5912537
     _Istateicps_51 |   .1447727   .0773372     1.87   0.061    -.0068054    .2963508
     _Istateicps_52 |  -.2417397   .0477083    -5.07   0.000    -.3352462   -.1482332
     _Istateicps_53 |   .0980757   .0853691     1.15   0.251    -.0692447    .2653961
     _Istateicps_54 |   .0772363   .0801286     0.96   0.335    -.0798129    .2342855
     _Istateicps_56 |   .3277989   .0976897     3.36   0.001     .1363306    .5192671
     _Istateicps_61 |  -.4500034   .0674691    -6.67   0.000    -.5822404   -.3177665
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0717683    -1.52   0.129    -.2496098    .0317167
     _Istateicps_64 |   .0280387   .0891551     0.31   0.753    -.1467021    .2027795
     _Istateicps_65 |  -.1306264   .0827228    -1.58   0.114    -.2927602    .0315074
     _Istateicps_66 |   .0528292   .0613269     0.86   0.389    -.0673693    .1730278
     _Istateicps_67 |  -.2125683   .0494953    -4.29   0.000    -.3095772   -.1155593
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .0747782    -1.15   0.248    -.2329307    .0601942
     _Istateicps_72 |   -.185053   .0566637    -3.27   0.001    -.2961119   -.0739941
     _Istateicps_73 |   .0570815   .0571788     1.00   0.318     -.054987    .1691499
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .8971427    -1.12   0.261    -2.765771    .7509639
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   7.937
                                                      Number of obs =     2329
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =    32.501767

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0094925     5.25   0.000     .0312114    .0684215
         ww1_vol_sh |   .0553424   .0239877     2.31   0.021     .0083273    .1023575
ww1_awards_pop10_is |   .0285471   .0285444     1.00   0.317    -.0273989    .0844931
             lpop30 |  -.0091699   .0133294    -0.69   0.491     -.035295    .0169553
           c30unemp |   .1848281   .1611728     1.15   0.251    -.1310647     .500721
          c30urban1 |  -.0010635   .0073437    -0.14   0.885    -.0154568    .0133297
            c30farm |   .0150933   .0435603     0.35   0.729    -.0702833    .1004698
            iYf_T29 |   .0009469   .0136465     0.07   0.945    -.0257998    .0276936
           MEAN9628 |    -.00058   .0003784    -1.53   0.125    -.0013216    .0001617
             c30men |  -.5457075   .3053621    -1.79   0.074    -1.144206    .0527913
           c30black |  -.0388274   .0217631    -1.78   0.074    -.0814824    .0038276
             c30jap |   .9125856   .9301221     0.98   0.327    -.9104203    2.735591
             c30deu |    .022995   .1083029     0.21   0.832    -.1892748    .2352648
             c30ita |   .0307142   .1944879     0.16   0.875    -.3504751    .4119034
             c30vet |   .2290143     .10917     2.10   0.036     .0150451    .4429835
           lc40wage |   .0484989   .0185798     2.61   0.009     .0120832    .0849146
      iwarconpro_PC |   .0045248   .0053661     0.84   0.399    -.0059926    .0150422
      _Istateicps_2 |   .0230224   .0290956     0.79   0.429     -.034004    .0800489
      _Istateicps_3 |  -.0039094   .0146883    -0.27   0.790    -.0326979    .0248791
      _Istateicps_4 |   .0179834   .0284995     0.63   0.528    -.0378746    .0738415
      _Istateicps_5 |   .0703777   .0209513     3.36   0.001     .0293138    .1114415
      _Istateicps_6 |   .0110948   .0328357     0.34   0.735     -.053262    .0754517
     _Istateicps_11 |  -.0288758   .0172424    -1.67   0.094    -.0626703    .0049187
     _Istateicps_12 |  -.0251916   .0146226    -1.72   0.085    -.0538513    .0034682
     _Istateicps_13 |   .0267126   .0168417     1.59   0.113    -.0062965    .0597218
     _Istateicps_14 |    .007753   .0199542     0.39   0.698    -.0313566    .0468626
     _Istateicps_21 |  -.0605211   .0268838    -2.25   0.024    -.1132124   -.0078298
     _Istateicps_22 |  -.0707692   .0255386    -2.77   0.006    -.1208239   -.0207146
     _Istateicps_23 |  -.0316894   .0323357    -0.98   0.327    -.0950663    .0316875
     _Istateicps_24 |  -.0155027   .0243281    -0.64   0.524    -.0631849    .0321795
     _Istateicps_25 |   -.080549   .0384379    -2.10   0.036    -.1558859   -.0052122
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0220404     0.91   0.361    -.0230539    .0633427
     _Istateicps_41 |   -.010327    .020044    -0.52   0.606    -.0496125    .0289584
     _Istateicps_42 |  -.0229252   .0208407    -1.10   0.271    -.0637723    .0179219
     _Istateicps_43 |   .0438049    .028486     1.54   0.124    -.0120265    .0996364
     _Istateicps_44 |  -.0231958    .021746    -1.07   0.286    -.0658171    .0194255
     _Istateicps_45 |   -.011498   .0207702    -0.55   0.580    -.0522069    .0292108
     _Istateicps_46 |   .0360301   .0211265     1.71   0.088    -.0053772    .0774373
     _Istateicps_47 |  -.0191988   .0213251    -0.90   0.368    -.0609952    .0225976
     _Istateicps_48 |  -.0094689   .0210389    -0.45   0.653    -.0507044    .0317667
     _Istateicps_49 |   -.016824   .0253066    -0.66   0.506     -.066424    .0327759
     _Istateicps_51 |  -.0071833   .0241226    -0.30   0.766    -.0544627    .0400962
     _Istateicps_52 |   -.015887   .0238896    -0.67   0.506    -.0627097    .0309358
     _Istateicps_53 |  -.0253997   .0242391    -1.05   0.295    -.0729075     .022108
     _Istateicps_54 |  -.0049766   .0208352    -0.24   0.811    -.0458128    .0358597
     _Istateicps_56 |   .0389294   .0263961     1.47   0.140    -.0128059    .0906648
     _Istateicps_61 |   .0382295   .0397637     0.96   0.336    -.0397059    .1161649
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489    .034078    -0.15   0.882    -.0718406    .0617428
     _Istateicps_64 |   .0830129   .0479525     1.73   0.083    -.0109723     .176998
     _Istateicps_65 |   .0175391   .0433054     0.41   0.685    -.0673379     .102416
     _Istateicps_66 |  -.0145873   .0322659    -0.45   0.651    -.0778272    .0486527
     _Istateicps_67 |   .0096059    .032795     0.29   0.770    -.0546712    .0738829
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0302388     1.45   0.148    -.0155447    .1029892
     _Istateicps_72 |  -.0210778   .0378752    -0.56   0.578    -.0953118    .0531563
     _Istateicps_73 |   .0283128   .0281216     1.01   0.314    -.0268046    .0834301
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2285748    -0.63   0.531    -.5912526    .3047444
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
SPATIAL CORRECTION
DistCutoff: 800
LagCutoff:  0
No HAC Correction
No Absorbed FEs
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC _Istateicps_2 _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6 _Istateicps_11 _Istateicps_12 _Istateicps_13 
> _Istateicps_14 _Istateicps_21 _Istateicps_22 _Istateicps_23 _Istateicps_24 _Istateicps_25 _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istate
> icps_34 _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_40 _Istateicps_41 _Istateicps_42 _Istateicps_43 _Istateicps_44 _Istateicps_45
>  _Istateicps_46 _Istateicps_47 _Istateicps_48 _Istateicps_49 _Istateicps_51 _Istateicps_52 _Istateicps_53 _Istateicps_54 _Istateicps_56 _Istat
> eicps_61 _Istateicps_62 _Istateicps_63 _Istateicps_64 _Istateicps_65 _Istateicps_66 _Istateicps_67 _Istateicps_68 _Istateicps_71 _Istateicps_7
> 2 _Istateicps_73 _Istateicps_98
Instrumented: iAGRI_PF
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Kleibergen-Paap rk Wald F statistic:   7.937
                                                      Number of obs =     2329
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017642

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1237169     6.67   0.000     .5822736    1.067235
         ww1_vol_sh |   .4331542   .1688284     2.57   0.010     .1022566    .7640519
ww1_awards_pop10_is |   .4680145    .259617     1.80   0.071    -.0408254    .9768544
             lpop30 |  -.0161675   .0770477    -0.21   0.834    -.1671781    .1348432
           c30unemp |   2.124215   1.249014     1.70   0.089    -.3238067    4.572236
          c30urban1 |   .0072287    .058904     0.12   0.902    -.1082211    .1226784
            c30farm |  -.6426075   .5076262    -1.27   0.206    -1.637537    .3523216
            iYf_T29 |  -.1318951   .1168044    -1.13   0.259    -.3608275    .0970372
           MEAN9628 |   -.006001   .0037651    -1.59   0.111    -.0133804    .0013784
             c30men |  -6.459359   2.529604    -2.55   0.011    -11.41729   -1.501427
           c30black |  -.9933841    .182477    -5.44   0.000    -1.351033   -.6357358
             c30jap |    11.5459   5.560511     2.08   0.038      .647496     22.4443
             c30deu |  -.5917787    .695312    -0.85   0.395    -1.954565    .7710078
             c30ita |   .1557233   1.655591     0.09   0.925    -3.089175    3.400622
             c30vet |   3.221259    .988567     3.26   0.001     1.283703    5.158814
           lc40wage |   .9103244   .1435908     6.34   0.000     .6288916    1.191757
      iwarconpro_PC |   .2274203    .068891     3.30   0.001     .0923964    .3624442
      _Istateicps_2 |   .6604316   .2642772     2.50   0.012     .1424577    1.178405
      _Istateicps_3 |  -.0982863   .1300076    -0.76   0.450    -.3530965    .1565238
      _Istateicps_4 |    1.01629   .2664877     3.81   0.000     .4939833    1.538596
      _Istateicps_5 |   .1302685   .1446859     0.90   0.368    -.1533107    .4138478
      _Istateicps_6 |   1.057225   .2673741     3.95   0.000     .5331814    1.581269
     _Istateicps_11 |   .0893607   .1851568     0.48   0.629      -.27354    .4522614
     _Istateicps_12 |    -.17893   .1201901    -1.49   0.137    -.4144983    .0566382
     _Istateicps_13 |    .631846   .1900981     3.32   0.001     .2592607    1.004431
     _Istateicps_14 |   .2723731   .2108505     1.29   0.196    -.1408862    .6856324
     _Istateicps_21 |  -.2979324   .2446341    -1.22   0.223    -.7774065    .1815417
     _Istateicps_22 |  -.4297303   .2233704    -1.92   0.054    -.8675282    .0080677
     _Istateicps_23 |  -.0645534   .3018035    -0.21   0.831    -.6560775    .5269706
     _Istateicps_24 |  -.1205424   .1944378    -0.62   0.535    -.5016334    .2605487
     _Istateicps_25 |   -.028747   .3112249    -0.09   0.926    -.6387366    .5812427
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2379915     1.82   0.069    -.0342466    .8986627
     _Istateicps_41 |    .366587   .2308457     1.59   0.112    -.0858623    .8190362
     _Istateicps_42 |  -.5466495   .2291826    -2.39   0.017    -.9958391   -.0974599
     _Istateicps_43 |   .9528217   .2640823     3.61   0.000     .4352299    1.470414
     _Istateicps_44 |   .2408232   .2269019     1.06   0.289    -.2038964    .6855429
     _Istateicps_45 |  -.3362653   .2394676    -1.40   0.160    -.8056132    .1330825
     _Istateicps_46 |   .7896323   .2618407     3.02   0.003      .276434    1.302831
     _Istateicps_47 |   .0953308   .2686568     0.35   0.723    -.4312269    .6218885
     _Istateicps_48 |  -.1003774   .2422148    -0.41   0.679    -.5751097    .3743549
     _Istateicps_49 |   .7054391   .2756781     2.56   0.010     .1651199    1.245758
     _Istateicps_51 |   .1449329   .2739322     0.53   0.597    -.3919645    .6818302
     _Istateicps_52 |  -.4490972   .2095043    -2.14   0.032     -.859718   -.0384763
     _Istateicps_53 |   .1314527     .27354     0.48   0.631    -.4046758    .6675812
     _Istateicps_54 |   .1602319   .2525338     0.63   0.526    -.3347253     .655189
     _Istateicps_56 |   .9468981   .3156459     3.00   0.003     .3282434    1.565553
     _Istateicps_61 |  -.4796931   .3223238    -1.49   0.137    -1.111436    .1520499
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944    .281127    -0.33   0.743    -.6430933    .4589044
     _Istateicps_64 |   .7938474   .3569903     2.22   0.026     .0941592    1.493536
     _Istateicps_65 |   .0394076   .3551659     0.11   0.912    -.6567047      .73552
     _Istateicps_66 |  -.1508506   .2921443    -0.52   0.606    -.7234429    .4217417
     _Istateicps_67 |  -.3625599   .2340378    -1.55   0.121    -.8212655    .0961458
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .2694568     0.26   0.798    -.4592569    .5969945
     _Istateicps_72 |   .0684012   .2876261     0.24   0.812    -.4953355    .6321379
     _Istateicps_73 |   .6408049   .2657145     2.41   0.016     .1200141    1.161596
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.414469    -3.07   0.002    -12.14298   -2.678433
-------------------------------------------------------------------------------------
Warning: X'PzX matrix not of full rank. Some variables might be omitted.
Beta Coefficients and Standard Errors should be interpreted with caution.
(est1 stored)

. 
. restore

. 
. 
. preserve

. clear

. set obs 10
number of observations (_N) was 0, now 10

. 
. gen bstab = ""
(10 missing values generated)

. replace bstab in 1 = "Agricultural support"
variable bstab was str1 now str20
(1 real change made)

. replace bstab in 2 = "Baseline s.e."
(1 real change made)

. replace bstab in 3 = "Conley (1999) s.e.: cutoff = 200 km"
variable bstab was str20 now str35
(1 real change made)

. replace bstab in 4 = "Conley (1999) s.e.: cutoff = 400 km"
(1 real change made)

. replace bstab in 5 = "Conley (1999) s.e.: cutoff = 600 km"
(1 real change made)

. replace bstab in 6 = "Conley (1999) s.e.: cutoff = 800 km"
(1 real change made)

. 
. replace bstab in 8 = "Controls"
(1 real change made)

. replace bstab in 9 = "State FE(48)"
(1 real change made)

. replace bstab in 10 = "Observation"
(1 real change made)

. 
. lab var bstab ""

. 
. gen warbond1 = ""
(10 missing values generated)

. replace warbond1 in 1 = "`b11'"
variable warbond1 was str1 now str5
(1 real change made)

. replace warbond1 in 2 = "[`se11']" + "`st11'"
variable warbond1 was str5 now str15
(1 real change made)

. replace warbond1 in 3 = "`se31'"
(1 real change made)

. replace warbond1 in 4 = "`se41'"
(1 real change made)

. replace warbond1 in 5 = "`se51'"
(1 real change made)

. replace warbond1 in 6 = "`se61'"
(1 real change made)

. 
. replace warbond1 in 8 = "Yes"
(1 real change made)

. replace warbond1 in 9 = "Yes"
(1 real change made)

. replace warbond1 in 10 = "`n11'"
(1 real change made)

. lab var warbond1 "Warbonds"

. 
. gen volunteers1 = ""
(10 missing values generated)

. replace volunteers1 in 1 = "`b12'"
variable volunteers1 was str1 now str5
(1 real change made)

. replace volunteers1 in 2 = "[`se12']" + "`st12'"
variable volunteers1 was str5 now str15
(1 real change made)

. replace volunteers1 in 3 = "`se32'"
(1 real change made)

. replace volunteers1 in 4 = "`se42'"
(1 real change made)

. replace volunteers1 in 5 = "`se52'"
(1 real change made)

. replace volunteers1 in 6 = "`se62'"
(1 real change made)

. 
. replace volunteers1 in 8 = "Yes"
(1 real change made)

. replace volunteers1 in 9 = "Yes"
(1 real change made)

. replace volunteers1 in 10 = "`n12'"
(1 real change made)

. lab var volunteers1 "Volunteers"

. 
. gen medals1 = ""
(10 missing values generated)

. replace medals1 in 1 = "`b13'"
variable medals1 was str1 now str5
(1 real change made)

. replace medals1 in 2 = "[`se13']" + "`st13'"
variable medals1 was str5 now str15
(1 real change made)

. replace medals1 in 3 = "`se33'"
(1 real change made)

. replace medals1 in 4 = "`se43'"
(1 real change made)

. replace medals1 in 5 = "`se53'"
(1 real change made)

. replace medals1 in 6 = "`se63'"
(1 real change made)

. 
. replace medals1 in 8 = "Yes"
(1 real change made)

. replace medals1 in 9 = "Yes"
(1 real change made)

. replace medals1 in 10 = "`n13'"
(1 real change made)

. lab var medals1 "Medals"

. 
. gen pca1 = ""
(10 missing values generated)

. replace pca1 in 1 = "`b14'"
variable pca1 was str1 now str5
(1 real change made)

. replace pca1 in 2 = "[`se14']" + "`st14'"
variable pca1 was str5 now str15
(1 real change made)

. replace pca1 in 3 = "`se34'"
(1 real change made)

. replace pca1 in 4 = "`se44'"
(1 real change made)

. replace pca1 in 5 = "`se54'"
(1 real change made)

. replace pca1 in 6 = "`se64'"
(1 real change made)

. 
. replace pca1 in 8 = "Yes"
(1 real change made)

. replace pca1 in 9 = "Yes"
(1 real change made)

. replace pca1 in 10 = "`n14'"
(1 real change made)

. lab var pca1 "Medals"

. 
. gen warbond2 = ""
(10 missing values generated)

. replace warbond2 in 1 = "`b15'"
variable warbond2 was str1 now str5
(1 real change made)

. replace warbond2 in 2 = "[`se15']" + "`st15'"
variable warbond2 was str5 now str15
(1 real change made)

. replace warbond2 in 3 = "`se35'"
(1 real change made)

. replace warbond2 in 4 = "`se45'"
(1 real change made)

. replace warbond2 in 5 = "`se55'"
(1 real change made)

. replace warbond2 in 6 = "`se65'"
(1 real change made)

. 
. replace warbond2 in 8 = "Yes"
(1 real change made)

. replace warbond2 in 9 = "Yes"
(1 real change made)

. replace warbond2 in 10 = "`n15'"
(1 real change made)

. lab var warbond2 "Warbonds"

. 
. gen volunteers2 = ""
(10 missing values generated)

. replace volunteers2 in 1 = "`b16'"
variable volunteers2 was str1 now str5
(1 real change made)

. replace volunteers2 in 2 = "[`se16']" + "`st16'"
variable volunteers2 was str5 now str15
(1 real change made)

. replace volunteers2 in 3 = "`se36'"
(1 real change made)

. replace volunteers2 in 4 = "`se46'"
(1 real change made)

. replace volunteers2 in 5 = "`se56'"
(1 real change made)

. replace volunteers2 in 6 = "`se66'"
(1 real change made)

. 
. replace volunteers2 in 8 = "Yes"
(1 real change made)

. replace volunteers2 in 9 = "Yes"
(1 real change made)

. replace volunteers2 in 10 = "`n16'"
(1 real change made)

. lab var volunteers2 "Volunteers"

. 
. gen medals2 = ""
(10 missing values generated)

. replace medals2 in 1 = "`b17'"
variable medals2 was str1 now str5
(1 real change made)

. replace medals2 in 2 = "[`se17']" + "`st17'"
variable medals2 was str5 now str15
(1 real change made)

. replace medals2 in 3 = "`se37'"
(1 real change made)

. replace medals2 in 4 = "`se47'"
(1 real change made)

. replace medals2 in 5 = "`se57'"
(1 real change made)

. replace medals2 in 6 = "`se67'"
(1 real change made)

. 
. replace medals2 in 8 = "Yes"
(1 real change made)

. replace medals2 in 9 = "Yes"
(1 real change made)

. replace medals2 in 10 = "`n17'"
(1 real change made)

. lab var medals2 "Medals"

. 
. gen pca2 = ""
(10 missing values generated)

. replace pca2 in 1 = "`b18'"
variable pca2 was str1 now str5
(1 real change made)

. replace pca2 in 2 = "[`se18']" + "`st18'"
variable pca2 was str5 now str15
(1 real change made)

. replace pca2 in 3 = "`se38'"
(1 real change made)

. replace pca2 in 4 = "`se48'"
(1 real change made)

. replace pca2 in 5 = "`se58'"
(1 real change made)

. replace pca2 in 6 = "`se68'"
(1 real change made)

. 
. replace pca2 in 8 = "Yes"
(1 real change made)

. replace pca2 in 9 = "Yes"
(1 real change made)

. replace pca2 in 10 = "`n18'"
(1 real change made)

. lab var pca2 "PCA"

. 
. texsave using "results/tables/AppTab11B_conley", replace varlab nofix frag

. restore

. 
. 
. ***************************************************************************************************     
. ****         Tab 12. Entropy Balancing                                                         ****
. ***************************************************************************************************     
. 
. xtile  iNDEXP_PCm = iNDEXP_PC, n(2)

. recode iNDEXP_PCm (1 = 0) (2 = 1)
(iNDEXP_PCm: 3068 changes made)

. 
. ebalance iNDEXP_PCm ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 ///
>         c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30vet     ///
>         lc40wage iwarconpro_PC if sample_ols == 1, gen(wiNDEXP_PC)


Data Setup
Treatment variable:   iNDEXP_PCm
Covariate adjustment: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30
> vet lc40wage iwarconpro_PC 

Optimizing...
Iteration 1: Max Difference = 15224.3269
Iteration 2: Max Difference = 5598.17157
Iteration 3: Max Difference = 2056.91184
Iteration 4: Max Difference = 754.168535
Iteration 5: Max Difference = 274.951999
Iteration 6: Max Difference = 98.7532335
Iteration 7: Max Difference = 34.1730538
Iteration 8: Max Difference = 10.9320289
Iteration 9: Max Difference = 3.08959907
Iteration 10: Max Difference = .738057425
Iteration 11: Max Difference = .169723118
Iteration 12: Max Difference = .024470243
Iteration 13: Max Difference = .000605165
maximum difference smaller than the tolerance level; convergence achieved


Treated units: 1500    total of weights: 1500
Control units: 1522    total of weights: 1500


Before: without weighting

             |              Treat              |             Control             
             |      mean   variance   skewness |      mean   variance   skewness 
-------------+---------------------------------+---------------------------------
  ww1_vol_sh |     .3745     .06907      .8838 |     .3329     .05794       1.01 
ww1_awards~s |    .06359     .01083      3.124 |    .05014    .005984      7.102 
      lpop30 |     9.643      1.285      .6598 |     10.01      .7697      .4323 
    c30unemp |    .06394    .001787      1.817 |    .05438    .001423       1.75 
   c30urban1 |     .5153      .2499    -.06136 |     .5782       .244     -.3166 
     c30farm |     .4625     .04596     -.3488 |     .5221     .05437     -.3961 
     iYf_T29 |     2.991      .6456      .1335 |       3.2       .371      -.029 
    MEAN9628 |     43.03      212.7      .9699 |     55.77      392.3      .2127 
      c30men |     .5245   .0005791      1.739 |     .5091   .0002643      2.104 
    c30black |    .03596    .008646      3.951 |     .1862     .04758      1.036 
      c30jap |  .0009396   .0000144      7.386 |  .0004293   .0000164      12.79 
      c30deu |    .06028    .003317      1.705 |     .0286    .002915      3.076 
      c30ita |   .009301   .0005301      3.918 |   .007959   .0005577      4.377 
      c30vet |     .1244     .00147      3.096 |     .1053   .0009665      1.558 
    lc40wage |     6.488     .08427     .03767 |     6.343      .1269     .02513 
iwarconpro~C |      .316      .4011      2.628 |     .3199       .329      2.553 


After:  wiNDEXP_PC as the weighting variable

             |              Treat              |             Control             
             |      mean   variance   skewness |      mean   variance   skewness 
-------------+---------------------------------+---------------------------------
  ww1_vol_sh |     .3745     .06907      .8838 |     .3745     .08169      .8406 
ww1_awards~s |    .06359     .01083      3.124 |    .06358     .01418      7.864 
      lpop30 |     9.643      1.285      .6598 |     9.643      1.199     -.4912 
    c30unemp |    .06394    .001787      1.817 |    .06394    .001898      2.232 
   c30urban1 |     .5153      .2499    -.06136 |     .5153      .2499    -.06134 
     c30farm |     .4625     .04596     -.3488 |     .4625     .05013    -.04223 
     iYf_T29 |     2.991      .6456      .1335 |     2.991      .5787     -.5171 
    MEAN9628 |     43.03      212.7      .9699 |     43.03      231.4      .7218 
      c30men |     .5245   .0005791      1.739 |     .5245   .0007904      2.099 
    c30black |    .03596    .008646      3.951 |    .03598    .006445      3.773 
      c30jap |  .0009396   .0000144      7.386 |  .0009396   .0000353      8.847 
      c30deu |    .06028    .003317      1.705 |    .06028    .006233      1.885 
      c30ita |   .009301   .0005301      3.918 |   .009301   .0005966      4.019 
      c30vet |     .1244     .00147      3.096 |     .1244    .002035      1.854 
    lc40wage |     6.488     .08427     .03767 |     6.488      .1176     -.2809 
iwarconpro~C |      .316      .4011      2.628 |      .316      .3607      2.584 

.         
.         
. local vss iNDEXP_PCm ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c3
> 0vet      lc40wage iwarconpro_PC

.         local v2 = 0

. forvalues i=1/16{
  2.         local v2 = `v2' + 1
  3.         local bbt_`v2' = string(e(preBal)[`i', 1], "%9.3f")
  4.         local bbc_`v2' = string(e(preBal)[`i', 4], "%9.3f")
  5.         local abt_`v2' = string(e(postBal)[`i', 1], "%9.3f")
  6.         local abc_`v2' = string(e(postBal)[`i', 4], "%9.3f")
  7.         local v2 = `v2' + 1
  8.         local bbt_`v2' = "("+string(sqrt(e(preBal)[`i', 2]), "%9.3f")+")"
  9.         local bbc_`v2' = "("+string(sqrt(e(preBal)[`i', 5]), "%9.3f")+")"
 10.         local abt_`v2' = "("+string(sqrt(e(postBal)[`i', 2]), "%9.3f")+")"
 11.         local abc_`v2' = "("+string(sqrt(e(postBal)[`i', 5]), "%9.3f")+")"
 12. }

. 
. preserve

. 
. clear

. set obs 32
number of observations (_N) was 0, now 32

. gen vars = ""
(32 missing values generated)

. replace vars in 1 = "WWI volunteering rate"
variable vars was str1 now str21
(1 real change made)

. replace vars in 3 = "WW1 awards per capita (i.h.s.)"
variable vars was str21 now str30
(1 real change made)

. replace vars in 5 = "log 1930 population"
(1 real change made)

. replace vars in 7 = "1930 unemployment rate"
(1 real change made)

. replace vars in 9 = "1930 urban status dummy"
(1 real change made)

. replace vars in 11 = "1930 farm share"
(1 real change made)

. replace vars in 13 = "1929 farm income (i.h.s.)"
(1 real change made)

. replace vars in 15 = "Mean Democratic vote share: 1898-1928"
variable vars was str30 now str37
(1 real change made)

. replace vars in 17 = "1930 share of men"
(1 real change made)

. replace vars in 19 = "1930 share of blacks"
(1 real change made)

. replace vars in 21 = "1930 share of Japanese"
(1 real change made)

. replace vars in 23 = "1930 share of Germans"
(1 real change made)

. replace vars in 25 = "1930 share of Italians"
(1 real change made)

. replace vars in 27 = "1930 share of veterans"
(1 real change made)

. replace vars in 29 = "log 1939 average wage"
(1 real change made)

. replace vars in 31 = "War contracts per capita (i.h.s.)"
(1 real change made)

. 
. gen bbt = ""
(32 missing values generated)

. lab var bbt "Treated"

. 
. gen bbc = ""
(32 missing values generated)

. lab var bbc "Control"   

. gen abt = ""
(32 missing values generated)

. lab var abt "Treated"

. gen abc = ""
(32 missing values generated)

. lab var abc "Control"   

. forvalues m=1/32{
  2.         replace bbt in `m' = "`bbt_`m''"
  3.         replace bbc in `m' = "`bbc_`m''"
  4.         replace abt in `m' = "`abt_`m''"
  5.         replace abc in `m' = "`abc_`m''"
  6. }
variable bbt was str1 now str5
(1 real change made)
variable bbc was str1 now str5
(1 real change made)
variable abt was str1 now str5
(1 real change made)
variable abc was str1 now str5
(1 real change made)
variable bbt was str5 now str7
(1 real change made)
variable bbc was str5 now str7
(1 real change made)
variable abt was str5 now str7
(1 real change made)
variable abc was str5 now str7
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable bbt was str7 now str8
(1 real change made)
variable bbc was str7 now str8
(1 real change made)
variable abt was str7 now str8
(1 real change made)
variable abc was str7 now str8
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. drop in 1/2
(2 observations deleted)

. 
. texsave using "results/tables/AppTab12_entropy", frag nofix replace varlab headerlines("& \multicolumn{2}{c}{Before balancing} & \multicolumn{
> 2}{c}{After balancing} \\ \cmidrule(lr){2-3} \cmidrule(lr){4-5} \addlinespace[-2ex]") title("Entropy Balancing.}\label{tab:entropy") footnote(
> "\noindent \textit{Notes:} Difference in covariates in counties above and below  median New Deal grants per capita (i.h.s.). Columns 1--2: ave
> rages before re-weighting. Columns 3--4: average after re-weighting with the formula of \citet{hainmueller2012entropy}")

. restore

. 
. ***************************************************************************************************     
. ****         Tab 13-15. Robustness in subsamples                                               ****
. ***************************************************************************************************     
. foreach sample in sharecropper migration dust {
  2.         if "`sample'" == "sharecropper" local if    "& lowsharec == 1"
  3.         if "`sample'" == "sharecropper" local title "Bottom 33\% Counties in Share of Farms Operated by Owner"
  4.         if "`sample'" == "sharecropper" local tab   "13"
  5.         if "`sample'" == "sharecropper" local label "sharecropper"
  6. 
.         if "`sample'" == "dust"         local if "& dust_bowl != 1"
  7.         if "`sample'" == "dust"         local title "Dust Bowl Counties"
  8.         if "`sample'" == "dust"         local tab   "14"
  9.         if "`sample'" == "dust"             local label "dustbowl"
 10.         
.         if "`sample'" == "migration"    local if    "& lowdpop   == 1"
 11.         if "`sample'" == "migration"    local title "Top and Bottom 5\% Counties in 1930-40 Population Change"
 12.         if "`sample'" == "migration"    local tab   "15"
 13.         if "`sample'" == "migration"    local label "migrate"
 14. 
.         
.         estimates clear
 15.         eststo: xi:  reg iwarbond_1944_PC   iAGRI_PF    $control if sample_ols == 1 `if'                      , r
 16.                         qui: sum iwarbond_1944_PC      if e(sample) == 1
 17.         estadd local y_mean_round = string(r(mean), "%9.3f")
 18.         eststo: xi:  reg ww2_vol_pop40      iAGRI_PF    $control if sample_ols == 1 `if' & servicecommand != 7, r
 19.                         qui: sum ww2_vol_pop40         if e(sample) == 1
 20.         estadd local y_mean_round = string(r(mean), "%9.3f")
 21.         eststo: xi:  reg ww2_awards_pop40_is iAGRI_PF    $control if sample_ols == 1 `if' & servicecommand != 7, r
 22.                         qui: sum ww2_awards_pop40_is    if e(sample) == 1
 23.         estadd local y_mean_round = string(r(mean), "%9.3f")
 24.         eststo: xi:  reg pc1                 iAGRI_PF    $control if sample_ols == 1 `if' & servicecommand != 7, r
 25.                         qui: sum pc1                    if e(sample) == 1
 26.         estadd local y_mean_round = string(r(mean), "%9.3f")
 27. 
.         eststo: xi:  ivreg2 iwarbond_1944_PC  (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73)  $control if sample_ols == 1 `if'                    
>     , cluster(CLIMDIVX) first
 28.         estadd local RA_test = string(`e(arfp)', "%4.3f")
 29.                         qui:   sum  iwarbond_1944_PC   if e(sample) == 1
 30.         estadd local y_mean_round = string(r(mean), "%9.3f")
 31.         eststo: xi:  ivreg2 ww2_vol_pop40     (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73)  $control if sample_ols == 1 `if'   & servicecomma
> nd != 7, cluster(CLIMDIVX) first
 32.         estadd local RA_test = string(`e(arfp)', "%4.3f")
 33.                         qui:   sum  ww2_vol_pop40      if e(sample) == 1
 34.         estadd local y_mean_round = string(r(mean), "%9.3f")
 35.         eststo: xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73)  $control if sample_ols == 1 `if' & servicecomma
> nd != 7, cluster(CLIMDIVX) first
 36.         estadd local RA_test = string(`e(arfp)', "%4.3f")
 37.                         qui:   sum  ww2_awards_pop40_is if e(sample) == 1
 38.         estadd local y_mean_round = string(r(mean), "%9.3f")
 39.         eststo: xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73)  $control if sample_ols == 1 `if' & servicecomma
> nd != 7, cluster(CLIMDIVX) first
 40.         estadd local RA_test = string(`e(arfp)', "%4.3f")
 41.                         qui:   sum  pc1                 if e(sample) == 1
 42.         estadd local y_mean_round = string(r(mean), "%9.3f")
 43. 
.         esttab using "results/tables/AppTab`tab'_robust-`sample'.tex" ,                                                            ///
>         indicate("State FE (48) = *state*")                                                                                                   
>  ///
>                 order(iAGRI_PF ) drop(_cons)                                                                                                  
>  ///
>                 mgroups("OLS"  "2SLS", pattern(1 0 0 0 1 0 0 0)                                                                               
>          ///
>                                 prefix(\multicolumn{@span}{c}{) suffix(})                                                                     
>          ///
>                                 span erepeat(\cmidrule(lr){@span}) )                                                                          
>                  ///
>                 mlabel("War bonds" "Volunteers" "Medals" "PCA" "War bonds" "Volunteers" "Medals" "PCA")                                       
>  ///
>                 scalars("y_mean_round Mean dependent variable" "RA_test Rubin-Anderson test (p-value)")                                       
>  ///
>                 replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                      
>      ///
>                 b(%9.3f) se(%9.3f) r2(%9.3f)                                                                                                  
>  ///
>                 nogaps title(Robust: Regressions Without `title'. \label{tab:`label'}) nonotes
 44. } /* foreach sample */
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,019
                                                F(64, 1954)       =      55.18
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6297
                                                Root MSE          =     .40606

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1463079   .0168267     8.69   0.000     .1133078     .179308
         ww1_vol_sh |  -.0294553    .044997    -0.65   0.513    -.1177025     .058792
ww1_awards_pop10_is |   .1938442   .0935804     2.07   0.038     .0103163    .3773722
             lpop30 |   .0127662   .0292826     0.44   0.663    -.0446622    .0701946
           c30unemp |  -.7282754   .3712729    -1.96   0.050    -1.456408   -.0001427
          c30urban1 |   .0400716   .0322617     1.24   0.214    -.0231995    .1033426
            c30farm |  -.4019344   .1495859    -2.69   0.007     -.695299   -.1085697
            iYf_T29 |   .0544258   .0236957     2.30   0.022     .0079544    .1008972
           MEAN9628 |    .002477    .001247     1.99   0.047     .0000315    .0049225
             c30men |  -.2268848   .8825567    -0.26   0.797    -1.957736    1.503967
           c30black |  -.0071631   .2038532    -0.04   0.972    -.4069556    .3926294
             c30jap |   5.258776   2.126176     2.47   0.013     1.088966    9.428587
             c30deu |   .3913044   .2183972     1.79   0.073    -.0370115    .8196203
             c30ita |  -.4477835   .6006414    -0.75   0.456    -1.625749    .7301816
             c30vet |  -.8012304   1.286984    -0.62   0.534    -3.325236    1.722775
           lc40wage |   .5157953   .0772355     6.68   0.000     .3643226     .667268
      iwarconpro_PC |   .2679135   .0251787    10.64   0.000     .2185337    .3172933
      _Istateicps_2 |  -.0448019   .1492964    -0.30   0.764    -.3375989     .247995
      _Istateicps_3 |  -.1723723   .1355008    -1.27   0.203    -.4381137    .0933691
      _Istateicps_4 |   .0115599   .1815619     0.06   0.949    -.3445154    .3676351
      _Istateicps_5 |   -.235091   .3743499    -0.63   0.530    -.9692581     .499076
      _Istateicps_6 |   .0224368   .1335466     0.17   0.867    -.2394718    .2843455
     _Istateicps_11 |   .1581388   .1525903     1.04   0.300    -.1411179    .4573956
     _Istateicps_12 |  -.0817924    .126523    -0.65   0.518    -.3299265    .1663418
     _Istateicps_13 |   .0340653   .1105306     0.31   0.758    -.1827049    .2508355
     _Istateicps_14 |   .0650862   .1157798     0.56   0.574    -.1619788    .2921511
     _Istateicps_21 |   .0590092   .1193524     0.49   0.621    -.1750623    .2930806
     _Istateicps_22 |  -.0026471   .1183398    -0.02   0.982    -.2347326    .2294384
     _Istateicps_23 |   .0058574   .1200875     0.05   0.961    -.2296557    .2413705
     _Istateicps_24 |  -.0454577   .1165365    -0.39   0.697    -.2740067    .1830912
     _Istateicps_25 |   .0569422    .126224     0.45   0.652    -.1906056    .3044899
     _Istateicps_31 |   .3939524   .1267992     3.11   0.002     .1452765    .6426284
     _Istateicps_32 |    .403846   .1339835     3.01   0.003     .1410803    .6666116
     _Istateicps_33 |   .3017626   .1315889     2.29   0.022     .0436934    .5598319
     _Istateicps_34 |  -.0020245   .1204007    -0.02   0.987    -.2381518    .2341029
     _Istateicps_35 |   .5751487   .1422983     4.04   0.000     .2960763    .8542212
     _Istateicps_36 |   .6076747    .142197     4.27   0.000      .328801    .8865484
     _Istateicps_37 |   .2873166   .1421143     2.02   0.043      .008605    .5660281
     _Istateicps_40 |  -.0686004   .1388506    -0.49   0.621    -.3409112    .2037104
     _Istateicps_41 |  -.0248741   .1701165    -0.15   0.884    -.3585029    .3087547
     _Istateicps_42 |  -.3111786   .1505868    -2.07   0.039    -.6065063    -.015851
     _Istateicps_43 |  -.0208554   .1590343    -0.13   0.896    -.3327501    .2910393
     _Istateicps_44 |  -.0951767   .2289187    -0.42   0.678    -.5441271    .3537737
     _Istateicps_45 |  -.2182574   .1655781    -1.32   0.188    -.5429857    .1064709
     _Istateicps_46 |  -.0120771   .1788497    -0.07   0.946    -.3628334    .3386792
     _Istateicps_47 |  -.1383488   .1412112    -0.98   0.327    -.4152891    .1385915
     _Istateicps_48 |  -.4139347   .2688575    -1.54   0.124    -.9412124    .1133429
     _Istateicps_49 |    .146675   .1570471     0.93   0.350    -.1613224    .4546725
     _Istateicps_51 |  -.3831511   .1244341    -3.08   0.002    -.6271885   -.1391137
     _Istateicps_52 |  -.1692565   .1514904    -1.12   0.264    -.4663563    .1278433
     _Istateicps_53 |   .2922993   .1683209     1.74   0.083     -.037808    .6224066
     _Istateicps_54 |  -.2302819   .1271922    -1.81   0.070    -.4797284    .0191647
     _Istateicps_56 |  -.1207988   .1253778    -0.96   0.335     -.366687    .1250895
     _Istateicps_61 |    .030582   .1644709     0.19   0.853    -.2919748    .3531387
     _Istateicps_62 |   .1303905   .1431592     0.91   0.363    -.1503703    .4111513
     _Istateicps_63 |   .1864663   .1578621     1.18   0.238    -.1231295    .4960622
     _Istateicps_64 |   .6070859   .1524425     3.98   0.000     .3081188     .906053
     _Istateicps_65 |   .1863647   .1959723     0.95   0.342     -.197972    .5707013
     _Istateicps_66 |  -.2026742   .1604016    -1.26   0.207    -.5172505     .111902
     _Istateicps_67 |  -.0578819   .1432047    -0.40   0.686    -.3387318     .222968
     _Istateicps_68 |   .4220551   .1833309     2.30   0.021     .0625103    .7815998
     _Istateicps_71 |    .123703   .1401925     0.88   0.378    -.1512396    .3986455
     _Istateicps_72 |    .587678   .1442889     4.07   0.000     .3047017    .8706543
     _Istateicps_73 |    .446581   .1672334     2.67   0.008     .1186063    .7745556
     _Istateicps_98 |          0  (omitted)
              _cons |   .2611845   .7177654     0.36   0.716    -1.146482    1.668851
-------------------------------------------------------------------------------------
(est1 stored)

added macro:
       e(y_mean_round) : "4.743"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,512
                                                F(55, 1456)       =      45.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5665
                                                Root MSE          =     .19623

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0286813   .0082973     3.46   0.001     .0124053    .0449573
         ww1_vol_sh |   .1286403   .0301566     4.27   0.000     .0694853    .1877953
ww1_awards_pop10_is |   .0444491   .0858398     0.52   0.605    -.1239338     .212832
             lpop30 |  -.0154918   .0128381    -1.21   0.228    -.0406751    .0096914
           c30unemp |    .582563   .2297617     2.54   0.011     .1318636    1.033262
          c30urban1 |  -.0080736   .0156977    -0.51   0.607    -.0388662    .0227189
            c30farm |  -.1705104   .0639142    -2.67   0.008    -.2958842   -.0451366
            iYf_T29 |  -.0369386   .0130011    -2.84   0.005    -.0624414   -.0114357
           MEAN9628 |  -.0019807   .0006625    -2.99   0.003    -.0032803   -.0006811
             c30men |  -.6825308   .4892766    -1.39   0.163    -1.642293    .2772315
           c30black |  -.4752483   .0642114    -7.40   0.000     -.601205   -.3492916
             c30jap |   1.922191   1.161744     1.65   0.098    -.3566809    4.201062
             c30deu |  -.3093256   .1655192    -1.87   0.062    -.6340071    .0153559
             c30ita |  -.2106146   .2461081    -0.86   0.392     -.693379    .2721497
             c30vet |   1.035721   .3279131     3.16   0.002     .3924883    1.678953
           lc40wage |   .1449124   .0374538     3.87   0.000     .0714432    .2183815
      iwarconpro_PC |  -.0327051   .0082788    -3.95   0.000    -.0489447   -.0164654
      _Istateicps_2 |   -.015703    .059356    -0.26   0.791    -.1321353    .1007293
      _Istateicps_3 |   .0527001   .0579922     0.91   0.364    -.0610571    .1664573
      _Istateicps_4 |   .2242463   .0805699     2.78   0.005     .0662009    .3822917
      _Istateicps_5 |  -.0015931   .0604408    -0.03   0.979    -.1201535    .1169672
      _Istateicps_6 |   .2723304   .0788954     3.45   0.001     .1175696    .4270912
     _Istateicps_11 |  -.1437924   .0662711    -2.17   0.030    -.2737895   -.0137954
     _Istateicps_12 |  -.0899759   .0545622    -1.65   0.099    -.1970048     .017053
     _Istateicps_13 |    .037334   .0533079     0.70   0.484    -.0672344    .1419025
     _Istateicps_14 |  -.2123682   .0521587    -4.07   0.000    -.3146824   -.1100539
     _Istateicps_21 |  -.0459593   .0573607    -0.80   0.423    -.1584777    .0665591
     _Istateicps_22 |  -.0763016   .0554999    -1.37   0.169      -.18517    .0325667
     _Istateicps_23 |  -.0670053   .0618548    -1.08   0.279    -.1883393    .0543287
     _Istateicps_24 |  -.0949446   .0552957    -1.72   0.086    -.2034123     .013523
     _Istateicps_25 |   .1222881   .0667723     1.83   0.067     -.008692    .2532682
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1051224   .0596579    -1.76   0.078     -.222147    .0119022
     _Istateicps_41 |   .1379594   .0696518     1.98   0.048     .0013308     .274588
     _Istateicps_42 |  -.2852421   .0596184    -4.78   0.000    -.4021892   -.1682951
     _Istateicps_43 |   .2614629   .0665094     3.93   0.000     .1309984    .3919274
     _Istateicps_44 |   .1022147   .0693652     1.47   0.141    -.0338517    .2382812
     _Istateicps_45 |   -.179342   .0631571    -2.84   0.005    -.3032305   -.0554535
     _Istateicps_46 |   .2312519   .0810819     2.85   0.004     .0722021    .3903017
     _Istateicps_47 |   .0263845   .0597308     0.44   0.659    -.0907831    .1435521
     _Istateicps_48 |    .074705    .084881     0.88   0.379    -.0917972    .2412072
     _Istateicps_49 |   .4710668   .0734016     6.42   0.000     .3270826    .6150509
     _Istateicps_51 |   .0500952   .0570065     0.88   0.380    -.0617285    .1619188
     _Istateicps_52 |  -.2786784   .0584863    -4.76   0.000    -.3934047    -.163952
     _Istateicps_53 |   .0154007    .072828     0.21   0.833    -.1274582    .1582596
     _Istateicps_54 |   .0037123   .0602339     0.06   0.951    -.1144422    .1218668
     _Istateicps_56 |   .0951678   .0615097     1.55   0.122    -.0254893    .2158248
     _Istateicps_61 |  -.4936083   .0665969    -7.41   0.000    -.6242445   -.3629722
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.073749   .0653977    -1.13   0.260    -.2020327    .0545347
     _Istateicps_64 |   .1432443   .0678898     2.11   0.035     .0100721    .2764165
     _Istateicps_65 |   -.217242   .0927424    -2.34   0.019     -.399165   -.0353191
     _Istateicps_66 |   .0745971     .07593     0.98   0.326    -.0743468     .223541
     _Istateicps_67 |  -.2188124   .0654525    -3.34   0.001    -.3472036   -.0904212
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0295009   .0686982    -0.43   0.668    -.1642589    .1052571
     _Istateicps_72 |  -.1938677   .0663356    -2.92   0.004    -.3239914   -.0637441
     _Istateicps_73 |    .016939   .0672312     0.25   0.801    -.1149414    .1488195
     _Istateicps_98 |          0  (omitted)
              _cons |   .1467072   .3415818     0.43   0.668    -.5233378    .8167522
-------------------------------------------------------------------------------------
(est2 stored)

added macro:
       e(y_mean_round) : "0.633"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,512
                                                F(55, 1456)       =       7.18
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1788
                                                Root MSE          =     .12832

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0151957   .0046357     3.28   0.001     .0061024     .024289
         ww1_vol_sh |   .0638022   .0280509     2.27   0.023     .0087777    .1188268
ww1_awards_pop10_is |   .0481273   .0390557     1.23   0.218     -.028484    .1247387
             lpop30 |  -.0224538   .0177212    -1.27   0.205    -.0572155     .012308
           c30unemp |   .2549655   .2378253     1.07   0.284    -.2115513    .7214823
          c30urban1 |   .0031429   .0097277     0.32   0.747    -.0159389    .0222247
            c30farm |   .0422863   .0342557     1.23   0.217    -.0249095    .1094821
            iYf_T29 |    .011549   .0115585     1.00   0.318    -.0111241    .0342221
           MEAN9628 |  -.0004018   .0005257    -0.76   0.445    -.0014331    .0006295
             c30men |  -.5933776   .3325082    -1.78   0.075    -1.245624    .0588686
           c30black |   .0044694   .0387058     0.12   0.908    -.0714557    .0803946
             c30jap |   1.193172   1.250401     0.95   0.340    -1.259609    3.645952
             c30deu |   .0901802   .1605547     0.56   0.574     -.224763    .4051235
             c30ita |  -.0600039   .1823105    -0.33   0.742    -.4176232    .2976154
             c30vet |   .3457956   .1562147     2.21   0.027     .0393658    .6522255
           lc40wage |   .0663703   .0291912     2.27   0.023      .009109    .1236316
      iwarconpro_PC |   .0045957   .0054518     0.84   0.399    -.0060986      .01529
      _Istateicps_2 |   -.033886   .0330562    -1.03   0.305    -.0987289    .0309569
      _Istateicps_3 |  -.0062003   .0221597    -0.28   0.780    -.0496687    .0372681
      _Istateicps_4 |  -.0346085   .0398266    -0.87   0.385    -.1127321    .0435151
      _Istateicps_5 |    .052056   .0551566     0.94   0.345    -.0561388    .1602509
      _Istateicps_6 |   -.039985   .0429382    -0.93   0.352    -.1242123    .0442423
     _Istateicps_11 |  -.0510618   .0272611    -1.87   0.061     -.104537    .0024135
     _Istateicps_12 |  -.0402304   .0238606    -1.69   0.092    -.0870352    .0065744
     _Istateicps_13 |  -.0085127   .0214662    -0.40   0.692    -.0506207    .0335952
     _Istateicps_14 |  -.0351546   .0232871    -1.51   0.131    -.0808344    .0105253
     _Istateicps_21 |  -.0522702   .0305329    -1.71   0.087    -.1121634     .007623
     _Istateicps_22 |  -.0767646   .0301665    -2.54   0.011    -.1359391   -.0175902
     _Istateicps_23 |   -.055561   .0390725    -1.42   0.155    -.1322054    .0210834
     _Istateicps_24 |  -.0351493   .0296624    -1.18   0.236    -.0933348    .0230362
     _Istateicps_25 |  -.0951214   .0511432    -1.86   0.063    -.1954436    .0052008
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   -.033194     .02704    -1.23   0.220    -.0862355    .0198475
     _Istateicps_41 |   .0015641   .0420861     0.04   0.970    -.0809918    .0841199
     _Istateicps_42 |  -.0478075   .0292032    -1.64   0.102    -.1050923    .0094773
     _Istateicps_43 |  -.0126354   .0359008    -0.35   0.725    -.0830582    .0577875
     _Istateicps_44 |  -.0477068   .0404165    -1.18   0.238    -.1269877    .0315741
     _Istateicps_45 |  -.0305875   .0317728    -0.96   0.336    -.0929128    .0317378
     _Istateicps_46 |  -.0081036   .0425381    -0.19   0.849     -.091546    .0753389
     _Istateicps_47 |  -.0434762   .0260753    -1.67   0.096    -.0946253    .0076729
     _Istateicps_48 |  -.0366087   .0418216    -0.88   0.382    -.1186457    .0454282
     _Istateicps_49 |  -.0288632   .0325992    -0.89   0.376    -.0928096    .0350832
     _Istateicps_51 |  -.0348653   .0252565    -1.38   0.168    -.0844083    .0146778
     _Istateicps_52 |  -.0480405   .0348389    -1.38   0.168    -.1163803    .0202993
     _Istateicps_53 |  -.0263997   .0454867    -0.58   0.562    -.1156263    .0628268
     _Istateicps_54 |  -.0394969   .0258683    -1.53   0.127    -.0902399    .0112462
     _Istateicps_56 |  -.0227249   .0266378    -0.85   0.394    -.0749775    .0295276
     _Istateicps_61 |   .0138428   .0429601     0.32   0.747    -.0704274     .098113
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0158368   .0467025    -0.34   0.735    -.1074481    .0757746
     _Istateicps_64 |   .0913172    .050213     1.82   0.069    -.0071804    .1898148
     _Istateicps_65 |   -.012935    .068841    -0.19   0.851    -.1479731    .1221031
     _Istateicps_66 |  -.0197579   .0331352    -0.60   0.551    -.0847558      .04524
     _Istateicps_67 |  -.0045694   .0430779    -0.11   0.916    -.0890707    .0799319
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0521606    .054673     0.95   0.340    -.0550857    .1594068
     _Istateicps_72 |   -.038256   .0446296    -0.86   0.391    -.1258012    .0492892
     _Istateicps_73 |   .0073433   .0403613     0.18   0.856    -.0718292    .0865158
     _Istateicps_98 |          0  (omitted)
              _cons |   .0560592   .2360499     0.24   0.812     -.406975    .5190934
-------------------------------------------------------------------------------------
(est3 stored)

added macro:
       e(y_mean_round) : "0.153"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,512
                                                F(55, 1456)       =      56.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5864
                                                Root MSE          =     .78766

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2127163   .0300522     7.08   0.000      .153766    .2716666
         ww1_vol_sh |   .4905169   .1549368     3.17   0.002     .1865937    .7944402
ww1_awards_pop10_is |   .4633224   .2717685     1.70   0.088    -.0697773     .996422
             lpop30 |  -.1527916   .0912973    -1.67   0.094      -.33188    .0262968
           c30unemp |   1.657818   1.276679     1.30   0.194    -.8465088    4.162145
          c30urban1 |   .0865855   .0610899     1.42   0.157    -.0332482    .2064191
            c30farm |  -.3813797   .2241881    -1.70   0.089    -.8211458    .0583865
            iYf_T29 |   .0359189   .0656319     0.55   0.584    -.0928242    .1646621
           MEAN9628 |  -.0011278   .0029696    -0.38   0.704     -.006953    .0046974
             c30men |  -5.000133   1.867449    -2.68   0.008    -8.663311   -1.336955
           c30black |  -.7758425   .2730179    -2.84   0.005    -1.311393    -.240292
             c30jap |   14.49871   6.614026     2.19   0.029     1.524672    27.47275
             c30deu |   .6128786    .853001     0.72   0.473    -1.060363    2.286121
             c30ita |  -.8305078   1.167375    -0.71   0.477    -3.120424    1.459408
             c30vet |   3.670845   1.004482     3.65   0.000     1.700457    5.641232
           lc40wage |   1.018964   .1754744     5.81   0.000     .6747541    1.363174
      iwarconpro_PC |   .2260727   .0360071     6.28   0.000     .1554414     .296704
      _Istateicps_2 |  -.2147501   .2248675    -0.96   0.340    -.6558489    .2263487
      _Istateicps_3 |  -.0584566   .2155424    -0.27   0.786    -.4812634    .3643502
      _Istateicps_4 |   .2269301   .2923528     0.78   0.438    -.3465477    .8004078
      _Istateicps_5 |   -.040889   .4790769    -0.09   0.932    -.9806437    .8988657
      _Istateicps_6 |    .336006   .2884919     1.16   0.244    -.2298981      .90191
     _Istateicps_11 |  -.2616332   .2060487    -1.27   0.204    -.6658172    .1425508
     _Istateicps_12 |  -.3886389   .1927681    -2.02   0.044    -.7667718    -.010506
     _Istateicps_13 |   .0598772    .180645     0.33   0.740    -.2944751    .4142294
     _Istateicps_14 |  -.4302232   .1876971    -2.29   0.022    -.7984088   -.0620375
     _Istateicps_21 |  -.2374063   .2149262    -1.10   0.270    -.6590045    .1841918
     _Istateicps_22 |  -.4564895   .2154833    -2.12   0.034    -.8791803   -.0337987
     _Istateicps_23 |  -.3191192   .2548952    -1.25   0.211    -.8191202    .1808817
     _Istateicps_24 |  -.3415654   .2138515    -1.60   0.110    -.7610554    .0779245
     _Istateicps_25 |  -.1599631   .3039698    -0.53   0.599    -.7562287    .4363025
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.3894286   .2192158    -1.78   0.076    -.8194411    .0405839
     _Istateicps_41 |   .2259952   .2552759     0.89   0.376    -.2747525     .726743
     _Istateicps_42 |  -.9827783   .2284552    -4.30   0.000    -1.430915   -.5346418
     _Istateicps_43 |   .3218849   .2619257     1.23   0.219    -.1919072    .8356769
     _Istateicps_44 |  -.1434183   .2944755    -0.49   0.626    -.7210599    .4342233
     _Istateicps_45 |  -.6566134   .2448546    -2.68   0.007    -1.136919   -.1763078
     _Istateicps_46 |   .2594745   .3005552     0.86   0.388     -.330093     .849042
     _Istateicps_47 |  -.2570677   .2209685    -1.16   0.245    -.6905183    .1763829
     _Istateicps_48 |  -.4534103   .3412708    -1.33   0.184    -1.122845    .2160246
     _Istateicps_49 |    .789624    .260042     3.04   0.002     .2795269    1.299721
     _Istateicps_51 |  -.3701996   .2055651    -1.80   0.072     -.773435    .0330357
     _Istateicps_52 |  -.8051402   .2544648    -3.16   0.002    -1.304297   -.3059835
     _Istateicps_53 |     .25603   .2855292     0.90   0.370    -.3040627    .8161226
     _Istateicps_54 |  -.3449592   .2091946    -1.65   0.099    -.7553143    .0653959
     _Istateicps_56 |  -.0535045   .2145261    -0.25   0.803    -.4743178    .3673087
     _Istateicps_61 |  -.7592328   .2918354    -2.60   0.009    -1.331696     -.18677
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0350281   .2841781    -0.12   0.902    -.5924703    .5224142
     _Istateicps_64 |   1.171254   .2877491     4.07   0.000     .6068065    1.735701
     _Istateicps_65 |  -.2843502   .4420633    -0.64   0.520    -1.151499    .5827988
     _Istateicps_66 |  -.1332625   .2805052    -0.48   0.635    -.6834999    .4169749
     _Istateicps_67 |  -.4431875   .2797686    -1.58   0.113    -.9919801    .1056052
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .2836149   .3192162     0.89   0.374    -.3425579    .9097876
     _Istateicps_72 |   .0039812   .2786991     0.01   0.989    -.5427135    .5506758
     _Istateicps_73 |   .4533679    .292674     1.55   0.122    -.1207399    1.027476
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.370569   1.410658    -3.10   0.002    -7.137708    -1.60343
-------------------------------------------------------------------------------------
(est4 stored)

added macro:
       e(y_mean_round) : "0.152"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2019
Number of clusters (CLIMDIVX) =    307
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3623807   .0649812     5.58   0.000     .2349409    .4898205
          iAGRI_T73 |   .3592201   .0882865     4.07   0.000     .1860745    .5323658
         ww1_vol_sh |  -.0211625   .0954653    -0.22   0.825    -.2083871     .166062
ww1_awards_pop10_is |   .0650172   .1723712     0.38   0.706    -.2730335     .403068
             lpop30 |  -.1075898   .0440047    -2.44   0.015    -.1938908   -.0212887
           c30unemp |  -2.684583   .6984871    -3.84   0.000    -4.054442   -1.314725
          c30urban1 |   .1905657   .0582144     3.27   0.001     .0763968    .3047346
            c30farm |   .5179238    .316079     1.64   0.101    -.1019639    1.137811
            iYf_T29 |   .2466819   .0782194     3.15   0.002     .0932797    .4000841
           MEAN9628 |   .0078069   .0037197     2.10   0.036     .0005119    .0151019
             c30men |   -2.48055   1.894973    -1.31   0.191    -6.196933    1.235833
           c30black |   .1953876   .4553943     0.43   0.668    -.6977223    1.088497
             c30jap |  -4.144538   4.833278    -0.86   0.391    -13.62346    5.334387
             c30deu |   .6818012    .580297     1.17   0.240    -.4562652    1.819868
             c30ita |  -1.019758   1.076164    -0.95   0.343    -3.130309    1.090793
             c30vet |   1.404413    .891529     1.58   0.115    -.3440354    3.152861
           lc40wage |   .0676699   .1737808     0.39   0.697    -.2731453    .4084852
      iwarconpro_PC |  -.0155411   .0322111    -0.48   0.630    -.0787129    .0476308
      _Istateicps_2 |  -1.372176   .3517199    -3.90   0.000    -2.061962   -.6823906
      _Istateicps_3 |  -.0282204   .1467107    -0.19   0.847    -.3159464    .2595056
      _Istateicps_4 |  -1.330718    .173499    -7.67   0.000     -1.67098   -.9904551
      _Istateicps_5 |  -.2146293   .1270839    -1.69   0.091    -.4638636     .034605
      _Istateicps_6 |  -.9689156   .2203766    -4.40   0.000    -1.401114   -.5367175
     _Istateicps_11 |  -.5168381   .3639641    -1.42   0.156    -1.230637    .1969609
     _Istateicps_12 |  -.2538592    .192735    -1.32   0.188    -.6318471    .1241287
     _Istateicps_13 |    -1.2935   .2227317    -5.81   0.000    -1.730317   -.8566834
     _Istateicps_14 |  -1.241183    .193636    -6.41   0.000    -1.620938   -.8614283
     _Istateicps_21 |  -.7613765   .3072285    -2.48   0.013    -1.363907   -.1588463
     _Istateicps_22 |  -.8013765   .2785584    -2.88   0.004     -1.34768   -.2550735
     _Istateicps_23 |  -.9425804   .2508632    -3.76   0.000    -1.434568   -.4505927
     _Istateicps_24 |  -1.024203   .2392344    -4.28   0.000    -1.493385   -.5550217
     _Istateicps_25 |  -.7469399   .2676449    -2.79   0.005     -1.27184   -.2220403
     _Istateicps_31 |  -.3043375   .2634363    -1.16   0.248    -.8209833    .2123082
     _Istateicps_32 |  -.1716017   .3461802    -0.50   0.620    -.8505231    .5073197
     _Istateicps_33 |  -.6379003   .3175497    -2.01   0.045    -1.260672   -.0151284
     _Istateicps_34 |  -1.012346   .2884088    -3.51   0.000    -1.577967   -.4467242
     _Istateicps_35 |   -.020851    .371164    -0.06   0.955    -.7487702    .7070681
     _Istateicps_36 |   .9431158   .2875582     3.28   0.001     .3791625    1.507069
     _Istateicps_37 |   .2848553   .3208682     0.89   0.375    -.3444248    .9141353
     _Istateicps_40 |  -1.279727   .2563502    -4.99   0.000    -1.782475   -.7769779
     _Istateicps_41 |   -.805078   .2556462    -3.15   0.002    -1.306446   -.3037099
     _Istateicps_42 |  -1.709691   .3172393    -5.39   0.000    -2.331854   -1.087528
     _Istateicps_43 |  -.9396221    .375172    -2.50   0.012    -1.675402   -.2038425
     _Istateicps_44 |  -1.619164   .2403623    -6.74   0.000    -2.090557    -1.14777
     _Istateicps_45 |  -.8265278   .3779682    -2.19   0.029    -1.567791   -.0852643
     _Istateicps_46 |  -1.150516   .3646293    -3.16   0.002     -1.86562   -.4354127
     _Istateicps_47 |  -1.109927   .2816108    -3.94   0.000    -1.662217   -.5576381
     _Istateicps_48 |  -1.617286   .3422189    -4.73   0.000    -2.288439   -.9461335
     _Istateicps_49 |   .3203569   .3540442     0.90   0.366    -.3739874    1.014701
     _Istateicps_51 |   -1.34837   .4061607    -3.32   0.001    -2.144924   -.5518161
     _Istateicps_52 |  -.4290113   .2213362    -1.94   0.053    -.8630914    .0050687
     _Istateicps_53 |   .0640423   .4740788     0.14   0.893    -.8657112    .9937959
     _Istateicps_54 |  -1.408322   .2998284    -4.70   0.000    -1.996339   -.8203043
     _Istateicps_56 |    -1.5766    .247928    -6.36   0.000    -2.062832   -1.090369
     _Istateicps_61 |  -.7889177   .4312617    -1.83   0.068    -1.634699    .0568639
     _Istateicps_62 |   -1.02305   .3149474    -3.25   0.001    -1.640718   -.4053816
     _Istateicps_63 |  -.4667662   .3141427    -1.49   0.137    -1.082856     .149324
     _Istateicps_64 |   .0483506   .3973971     0.12   0.903    -.7310163    .8277176
     _Istateicps_65 |  -.4396467   .3735066    -1.18   0.239     -1.17216    .2928666
     _Istateicps_66 |  -.5235378   .3962897    -1.32   0.187    -1.300733    .2536574
     _Istateicps_67 |  -.5845253   .2849005    -2.05   0.040    -1.143266   -.0257843
     _Istateicps_68 |   .2916128   .3218738     0.91   0.365    -.3396395    .9228651
     _Istateicps_71 |     .34116   .2624321     1.30   0.194    -.1735164    .8558363
     _Istateicps_72 |  -.5647132   .3201998    -1.76   0.078    -1.192682     .063256
     _Istateicps_73 |  -.3705664   .3153478    -1.18   0.240      -.98902    .2478871
     _Istateicps_98 |          0  (omitted)
              _cons |   7.007673   1.779384     3.94   0.000     3.517981    10.49737
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   306) =    23.02
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   306) =    23.02
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   306)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   306)
iAGRI_PF     |      23.02    0.0000 |       47.73   0.0000 |       23.02

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=23.19    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      89.21
Kleibergen-Paap Wald rk F statistic                                23.02

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,306)=      16.39     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     33.98     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        307
Number of observations               N  =       2019
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    307                Number of obs =     2019
                                                      F( 64,   306) =    89.82
                                                      Prob > F      =   0.0000
Total (centered) SS     =  870.0761732                Centered R2   =   0.5692
Total (uncentered) SS   =  46285.63104                Uncentered R2 =   0.9919
Residual SS             =   374.835333                Root MSE      =    .4309

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3590876   .0546008     6.58   0.000     .2520719    .4661032
         ww1_vol_sh |  -.0166734   .0534449    -0.31   0.755    -.1214235    .0880767
ww1_awards_pop10_is |   .1700288   .0940517     1.81   0.071    -.0143092    .3543667
             lpop30 |   .0390816   .0342014     1.14   0.253     -.027952    .1061152
           c30unemp |  -.1139815   .4205896    -0.27   0.786    -.9383219     .710359
          c30urban1 |  -.0062151   .0377409    -0.16   0.869     -.080186    .0677558
            c30farm |    -.56485   .1967486    -2.87   0.004    -.9504701   -.1792298
            iYf_T29 |   .0112793    .032506     0.35   0.729    -.0524314      .07499
           MEAN9628 |   .0000513   .0016827     0.03   0.976    -.0032468    .0033493
             c30men |   .2608502   1.094004     0.24   0.812    -1.883359    2.405059
           c30black |  -.0299014   .2566673    -0.12   0.907    -.5329601    .4731572
             c30jap |   5.231938   2.907597     1.80   0.072    -.4668461    10.93072
             c30deu |   .2109937   .2917477     0.72   0.470    -.3608213    .7828088
             c30ita |  -.3466384   .6860614    -0.51   0.613    -1.691294    .9980173
             c30vet |  -1.130001   1.342007    -0.84   0.400    -3.760287    1.500285
           lc40wage |    .469146   .0926995     5.06   0.000     .2874582    .6508338
      iwarconpro_PC |   .2695848   .0280438     9.61   0.000     .2146199    .3245498
      _Istateicps_2 |   .2155157    .197658     1.09   0.276    -.1718868    .6029182
      _Istateicps_3 |  -.1865969   .0924512    -2.02   0.044     -.367798   -.0053958
      _Istateicps_4 |   .2480187   .1181655     2.10   0.036     .0164185    .4796188
      _Istateicps_5 |  -.1974353   .0701051    -2.82   0.005    -.3348388   -.0600317
      _Istateicps_6 |    .219711   .1393014     1.58   0.115    -.0533146    .4927367
     _Istateicps_11 |   .2695791   .1380695     1.95   0.051    -.0010321    .5401904
     _Istateicps_12 |  -.0376626   .0717768    -0.52   0.600    -.1783425    .1030172
     _Istateicps_13 |   .2134393   .0892471     2.39   0.017     .0385182    .3883604
     _Istateicps_14 |    .269524   .0950929     2.83   0.005     .0831454    .4559026
     _Istateicps_21 |   .0444456   .1123028     0.40   0.692    -.1756637    .2645549
     _Istateicps_22 |  -.0149419    .095525    -0.16   0.876    -.2021674    .1722836
     _Istateicps_23 |   .0249671   .0964611     0.26   0.796    -.1640932    .2140273
     _Istateicps_24 |   .0001235   .0820761     0.00   0.999    -.1607426    .1609897
     _Istateicps_25 |   .0220941   .1037597     0.21   0.831    -.1812711    .2254593
     _Istateicps_31 |   .2468539   .1049101     2.35   0.019     .0412338     .452474
     _Istateicps_32 |   .1520177   .1182721     1.29   0.199    -.0797915    .3838268
     _Istateicps_33 |   .2293815    .114262     2.01   0.045     .0054321    .4533309
     _Istateicps_34 |   .0426755   .0907615     0.47   0.638    -.1352138    .2205649
     _Istateicps_35 |   .3378322   .1292576     2.61   0.009      .084492    .5911724
     _Istateicps_36 |    .202119    .172029     1.17   0.240    -.1350517    .5392897
     _Istateicps_37 |   -.001651   .1418645    -0.01   0.991    -.2797003    .2763983
     _Istateicps_40 |   .2235379   .1374544     1.63   0.104    -.0458677    .4929436
     _Istateicps_41 |    .152201    .185828     0.82   0.413    -.2120153    .5164172
     _Istateicps_42 |  -.1143081   .1397488    -0.82   0.413    -.3882108    .1595945
     _Istateicps_43 |   .1784134   .1288185     1.38   0.166    -.0740662    .4308929
     _Istateicps_44 |   .2305942   .2076128     1.11   0.267    -.1763195    .6375079
     _Istateicps_45 |  -.0337877   .1668164    -0.20   0.839    -.3607418    .2931663
     _Istateicps_46 |   .2466301   .2323141     1.06   0.288    -.2086972    .7019575
     _Istateicps_47 |   .0949808   .1735409     0.55   0.584    -.2451531    .4351148
     _Istateicps_48 |  -.1589687   .1710176    -0.93   0.353    -.4941571    .1762197
     _Istateicps_49 |  -.0618084   .1621948    -0.38   0.703    -.3797043    .2560875
     _Istateicps_51 |  -.2079041   .1033797    -2.01   0.044    -.4105246   -.0052836
     _Istateicps_52 |  -.0769489    .109539    -0.70   0.482    -.2916414    .1377436
     _Istateicps_53 |   .0530172   .1285735     0.41   0.680    -.1989822    .3050167
     _Istateicps_54 |  -.0093623   .1147269    -0.08   0.935     -.234223    .2154983
     _Istateicps_56 |   .1922054   .1333609     1.44   0.150     -.069177    .4535879
     _Istateicps_61 |   .0852425   .1546174     0.55   0.581     -.217802    .3882869
     _Istateicps_62 |    .129092    .110464     1.17   0.243    -.0874134    .3455975
     _Istateicps_63 |   .0863451   .1384138     0.62   0.533     -.184941    .3576313
     _Istateicps_64 |    .402432   .1382072     2.91   0.004     .1315508    .6733133
     _Istateicps_65 |   .1400318   .1783889     0.78   0.432     -.209604    .4896675
     _Istateicps_66 |  -.2212448   .1495439    -1.48   0.139    -.5143456    .0718559
     _Istateicps_67 |  -.0909943   .1015307    -0.90   0.370    -.2899909    .1080022
     _Istateicps_68 |   .1761232   .1744696     1.01   0.313    -.1658309    .5180774
     _Istateicps_71 |  -.0370559   .1457321    -0.25   0.799    -.3226855    .2485738
     _Istateicps_72 |   .5181904   .1182148     4.38   0.000     .2864937    .7498871
     _Istateicps_73 |   .4250604   .1338517     3.18   0.001     .1627159     .687405
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.013122   1.017817    -1.00   0.320    -3.008006    .9817625
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             23.189
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               89.212
                         (Kleibergen-Paap rk Wald F statistic):         23.021
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est5 stored)

added macro:
            e(RA_test) : "0.000"

added macro:
       e(y_mean_round) : "4.743"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   1512
Number of clusters (CLIMDIVX) =    238
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3685042   .0678074     5.43   0.000     .2354934    .5015149
          iAGRI_T73 |   .2305458   .1128073     2.04   0.041     .0092635    .4518281
         ww1_vol_sh |   .0241737   .1194755     0.20   0.840    -.2101889    .2585363
ww1_awards_pop10_is |   .0588936   .2114474     0.28   0.781    -.3558808     .473668
             lpop30 |  -.1256526   .0449016    -2.80   0.005    -.2137315   -.0375738
           c30unemp |  -2.619692   .8119897    -3.23   0.001    -4.212488   -1.026897
          c30urban1 |     .20623   .0642077     3.21   0.001     .0802805    .3321795
            c30farm |   .1995496   .3382333     0.59   0.555    -.4639274    .8630265
            iYf_T29 |   .2991239   .0941078     3.18   0.002     .1145225    .4837253
           MEAN9628 |   .0097708   .0042257     2.31   0.021     .0014817      .01806
             c30men |  -1.765654   2.294302    -0.77   0.442    -6.266148     2.73484
           c30black |   .0091473   .4582744     0.02   0.984    -.8898018    .9080964
             c30jap |  -7.224042   5.718234    -1.26   0.207     -18.4409    3.992822
             c30deu |    .637614   .8366993     0.76   0.446    -1.003652     2.27888
             c30ita |  -1.595422   1.191879    -1.34   0.181    -3.933406    .7425628
             c30vet |   .2256064   .9274652     0.24   0.808    -1.593705    2.044918
           lc40wage |   .0584543   .1877357     0.31   0.756    -.3098073    .4267159
      iwarconpro_PC |  -.0009724   .0383749    -0.03   0.980    -.0762484    .0743036
      _Istateicps_2 |  -1.356163   .3690854    -3.67   0.000    -2.080159   -.6321667
      _Istateicps_3 |  -.0438816   .1506471    -0.29   0.771    -.3393902    .2516271
      _Istateicps_4 |  -1.302029   .1865786    -6.98   0.000     -1.66802    -.936037
      _Istateicps_5 |  -.2260218   .1254621    -1.80   0.072    -.4721276    .0200841
      _Istateicps_6 |  -.9252924    .228414    -4.05   0.000    -1.373348   -.4772365
     _Istateicps_11 |  -.5294173   .3617012    -1.46   0.143    -1.238929    .1800943
     _Istateicps_12 |  -.2908644   .2012519    -1.45   0.149    -.6856393    .1039104
     _Istateicps_13 |  -1.265713   .2294317    -5.52   0.000    -1.715766    -.815661
     _Istateicps_14 |  -1.245727   .1974094    -6.31   0.000    -1.632965   -.8584896
     _Istateicps_21 |   -.716907   .3169625    -2.26   0.024    -1.338659   -.0951547
     _Istateicps_22 |  -.7879579   .2865521    -2.75   0.006    -1.350057   -.2258585
     _Istateicps_23 |  -.8957063   .2702965    -3.31   0.001    -1.425919   -.3654938
     _Istateicps_24 |   -1.01756   .2489944    -4.09   0.000    -1.505987   -.5291338
     _Istateicps_25 |  -.6703102   .2948706    -2.27   0.023    -1.248727   -.0918932
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.182543   .2584584    -4.58   0.000    -1.689534   -.6755525
     _Istateicps_41 |  -.7352093   .2688467    -2.73   0.006    -1.262578   -.2078407
     _Istateicps_42 |  -1.555973   .3231292    -4.82   0.000    -2.189822   -.9221242
     _Istateicps_43 |  -.9471811   .3700793    -2.56   0.011    -1.673127   -.2212352
     _Istateicps_44 |  -1.526754   .2544104    -6.00   0.000    -2.025805   -1.027704
     _Istateicps_45 |   -.803001   .3785718    -2.12   0.034    -1.545606   -.0603963
     _Istateicps_46 |  -1.082049   .3977116    -2.72   0.007    -1.862198   -.3018997
     _Istateicps_47 |  -1.001188   .2819827    -3.55   0.000    -1.554324   -.4480518
     _Istateicps_48 |  -1.463757   .3393216    -4.31   0.000    -2.129369   -.7981454
     _Istateicps_49 |   .4599224   .3919867     1.17   0.241     -.308997    1.228842
     _Istateicps_51 |   -1.24849   .4024332    -3.10   0.002    -2.037901   -.4590786
     _Istateicps_52 |   -.392455    .225637    -1.74   0.082    -.8350635    .0501535
     _Istateicps_53 |   .2060109   .4886698     0.42   0.673    -.7525618    1.164584
     _Istateicps_54 |  -1.259658   .3022057    -4.17   0.000    -1.852463   -.6668527
     _Istateicps_56 |  -1.512474   .2553637    -5.92   0.000    -2.013394   -1.011554
     _Istateicps_61 |  -.7274372   .4357799    -1.67   0.095    -1.582261    .1273869
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.412693   .3415834    -1.21   0.227    -1.082742    .2573556
     _Istateicps_64 |   .1839315   .4409152     0.42   0.677    -.6809658    1.048829
     _Istateicps_65 |  -.4513559   .4108001    -1.10   0.272     -1.25718    .3544678
     _Istateicps_66 |  -.4022348   .4143476    -0.97   0.332    -1.215017    .4105476
     _Istateicps_67 |  -.5652015   .3089684    -1.83   0.068    -1.171273    .0408695
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4376038   .2926196     1.50   0.135    -.1363976    1.011605
     _Istateicps_72 |  -.4441898   .3682188    -1.21   0.228    -1.166486    .2781066
     _Istateicps_73 |  -.3152499   .3380901    -0.93   0.351    -.9784461    .3479462
     _Istateicps_98 |          0  (omitted)
              _cons |   6.818263   2.113483     3.23   0.001     2.672463    10.96406
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   237)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   237)
iAGRI_PF     |      15.52    0.0000 |       32.37   0.0000 |       15.52

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=21.38    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      55.48
Kleibergen-Paap Wald rk F statistic                                15.52

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,237)=       6.15     P-val=0.0025
Anderson-Rubin Wald test           Chi-sq(2)=     12.83     P-val=0.0016
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        238
Number of observations               N  =       1512
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    238                Number of obs =     1512
                                                      F( 55,   237) =   842.92
                                                      Prob > F      =   0.0000
Total (centered) SS     =  129.3204065                Centered R2   =   0.4929
Total (uncentered) SS   =  735.6664821                Uncentered R2 =   0.9109
Residual SS             =  65.57416126                Root MSE      =    .2083

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1308598   .0331974     3.94   0.000      .065794    .1959255
         ww1_vol_sh |   .1301439   .0320528     4.06   0.000     .0673216    .1929662
ww1_awards_pop10_is |   .0336025    .076465     0.44   0.660    -.1162661    .1834711
             lpop30 |  -.0007809   .0149786    -0.05   0.958    -.0301384    .0285767
           c30unemp |   .8522071   .2467725     3.45   0.001     .3685418    1.335872
          c30urban1 |  -.0329889   .0202525    -1.63   0.103     -.072683    .0067053
            c30farm |  -.2180831   .0685252    -3.18   0.001      -.35239   -.0837763
            iYf_T29 |  -.0626013   .0191524    -3.27   0.001    -.1001393   -.0250633
           MEAN9628 |  -.0034025   .0010641    -3.20   0.001    -.0054881    -.001317
             c30men |  -.5185551   .6091215    -0.85   0.395    -1.712411     .675301
           c30black |  -.4703111   .0950518    -4.95   0.000    -.6566092    -.284013
             c30jap |   2.243347   1.292587     1.74   0.083    -.2900765    4.776771
             c30deu |   -.400845   .1585881    -2.53   0.011     -.711672   -.0900179
             c30ita |  -.1315673   .3062077    -0.43   0.667    -.7317233    .4685888
             c30vet |   .9942274   .2968066     3.35   0.001     .4124972    1.575958
           lc40wage |    .123391   .0431971     2.86   0.004     .0387263    .2080557
      iwarconpro_PC |  -.0336309   .0101448    -3.32   0.001    -.0535144   -.0137475
      _Istateicps_2 |   .1083094   .0854253     1.27   0.205    -.0591211    .2757398
      _Istateicps_3 |   .0452214   .0739263     0.61   0.541    -.0996716    .1901143
      _Istateicps_4 |   .3383224   .0822532     4.11   0.000      .177109    .4995358
      _Istateicps_5 |   .0179956   .0652923     0.28   0.783     -.109975    .1459661
      _Istateicps_6 |   .3588326   .0838664     4.28   0.000     .1944575    .5232076
     _Istateicps_11 |  -.0914072   .0971242    -0.94   0.347    -.2817671    .0989527
     _Istateicps_12 |  -.0657686   .0903553    -0.73   0.467    -.2428618    .1113245
     _Istateicps_13 |    .120738    .081804     1.48   0.140    -.0395949    .2810709
     _Istateicps_14 |  -.1157908   .0787149    -1.47   0.141    -.2700692    .0384875
     _Istateicps_21 |  -.0609399   .0767878    -0.79   0.427    -.2114413    .0895615
     _Istateicps_22 |  -.0874701   .0802551    -1.09   0.276    -.2447673    .0698271
     _Istateicps_23 |  -.0657032   .0877172    -0.75   0.454    -.2376258    .1062194
     _Istateicps_24 |  -.0759187   .0762646    -1.00   0.320    -.2253947    .0735572
     _Istateicps_25 |    .096937   .0863168     1.12   0.261    -.0722408    .2661147
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0234495   .0926939     0.25   0.800    -.1582272    .2051263
     _Istateicps_41 |    .214285   .1019196     2.10   0.036     .0145263    .4140436
     _Istateicps_42 |  -.2051517   .0855214    -2.40   0.016    -.3727705   -.0375329
     _Istateicps_43 |   .3565741   .0916511     3.89   0.000     .1769413     .536207
     _Istateicps_44 |   .2473441   .0959458     2.58   0.010     .0592937    .4353945
     _Istateicps_45 |   -.093219   .1042769    -0.89   0.371    -.2975979      .11116
     _Istateicps_46 |   .3483681   .0944054     3.69   0.000     .1633369    .5333993
     _Istateicps_47 |   .1246451   .0995036     1.25   0.210    -.0703783    .3196686
     _Istateicps_48 |   .1854654   .1122462     1.65   0.098     -.034533    .4054639
     _Istateicps_49 |   .3626924   .0978921     3.71   0.000     .1708274    .5545575
     _Istateicps_51 |   .1199902   .1122237     1.07   0.285    -.0999643    .3399446
     _Istateicps_52 |  -.2406514   .0836793    -2.88   0.004    -.4046598    -.076643
     _Istateicps_53 |  -.1194722   .1141114    -1.05   0.295    -.3431264     .104182
     _Istateicps_54 |   .0949117   .0937543     1.01   0.311    -.0888433    .2786667
     _Istateicps_56 |   .2361915   .0956944     2.47   0.014      .048634     .423749
     _Istateicps_61 |  -.4770289    .089654    -5.32   0.000    -.6527475   -.3013104
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1320392   .0873309    -1.51   0.131    -.3032047    .0391263
     _Istateicps_64 |   .0272566   .0963265     0.28   0.777    -.1615398    .2160531
     _Istateicps_65 |  -.2404424   .1131525    -2.12   0.034    -.4622173   -.0186676
     _Istateicps_66 |   .0497116   .0860823     0.58   0.564    -.1190066    .2184298
     _Istateicps_67 |  -.2411188   .0822593    -2.93   0.003    -.4023441   -.0798935
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.1181778   .0955825    -1.24   0.216    -.3055161    .0691605
     _Istateicps_72 |  -.2378864   .0913983    -2.60   0.009    -.4170236   -.0587491
     _Istateicps_73 |   -.002859   .0863875    -0.03   0.974    -.1721755    .1664575
     _Istateicps_98 |          0  (omitted)
              _cons |  -.4415463   .5554916    -0.79   0.427     -1.53029    .6471971
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             21.378
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               55.479
                         (Kleibergen-Paap rk Wald F statistic):         15.517
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

added macro:
            e(RA_test) : "0.002"

added macro:
       e(y_mean_round) : "0.633"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   1512
Number of clusters (CLIMDIVX) =    238
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3685042   .0678074     5.43   0.000     .2354934    .5015149
          iAGRI_T73 |   .2305458   .1128073     2.04   0.041     .0092635    .4518281
         ww1_vol_sh |   .0241737   .1194755     0.20   0.840    -.2101889    .2585363
ww1_awards_pop10_is |   .0588936   .2114474     0.28   0.781    -.3558808     .473668
             lpop30 |  -.1256526   .0449016    -2.80   0.005    -.2137315   -.0375738
           c30unemp |  -2.619692   .8119897    -3.23   0.001    -4.212488   -1.026897
          c30urban1 |     .20623   .0642077     3.21   0.001     .0802805    .3321795
            c30farm |   .1995496   .3382333     0.59   0.555    -.4639274    .8630265
            iYf_T29 |   .2991239   .0941078     3.18   0.002     .1145225    .4837253
           MEAN9628 |   .0097708   .0042257     2.31   0.021     .0014817      .01806
             c30men |  -1.765654   2.294302    -0.77   0.442    -6.266148     2.73484
           c30black |   .0091473   .4582744     0.02   0.984    -.8898018    .9080964
             c30jap |  -7.224042   5.718234    -1.26   0.207     -18.4409    3.992822
             c30deu |    .637614   .8366993     0.76   0.446    -1.003652     2.27888
             c30ita |  -1.595422   1.191879    -1.34   0.181    -3.933406    .7425628
             c30vet |   .2256064   .9274652     0.24   0.808    -1.593705    2.044918
           lc40wage |   .0584543   .1877357     0.31   0.756    -.3098073    .4267159
      iwarconpro_PC |  -.0009724   .0383749    -0.03   0.980    -.0762484    .0743036
      _Istateicps_2 |  -1.356163   .3690854    -3.67   0.000    -2.080159   -.6321667
      _Istateicps_3 |  -.0438816   .1506471    -0.29   0.771    -.3393902    .2516271
      _Istateicps_4 |  -1.302029   .1865786    -6.98   0.000     -1.66802    -.936037
      _Istateicps_5 |  -.2260218   .1254621    -1.80   0.072    -.4721276    .0200841
      _Istateicps_6 |  -.9252924    .228414    -4.05   0.000    -1.373348   -.4772365
     _Istateicps_11 |  -.5294173   .3617012    -1.46   0.143    -1.238929    .1800943
     _Istateicps_12 |  -.2908644   .2012519    -1.45   0.149    -.6856393    .1039104
     _Istateicps_13 |  -1.265713   .2294317    -5.52   0.000    -1.715766    -.815661
     _Istateicps_14 |  -1.245727   .1974094    -6.31   0.000    -1.632965   -.8584896
     _Istateicps_21 |   -.716907   .3169625    -2.26   0.024    -1.338659   -.0951547
     _Istateicps_22 |  -.7879579   .2865521    -2.75   0.006    -1.350057   -.2258585
     _Istateicps_23 |  -.8957063   .2702965    -3.31   0.001    -1.425919   -.3654938
     _Istateicps_24 |   -1.01756   .2489944    -4.09   0.000    -1.505987   -.5291338
     _Istateicps_25 |  -.6703102   .2948706    -2.27   0.023    -1.248727   -.0918932
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.182543   .2584584    -4.58   0.000    -1.689534   -.6755525
     _Istateicps_41 |  -.7352093   .2688467    -2.73   0.006    -1.262578   -.2078407
     _Istateicps_42 |  -1.555973   .3231292    -4.82   0.000    -2.189822   -.9221242
     _Istateicps_43 |  -.9471811   .3700793    -2.56   0.011    -1.673127   -.2212352
     _Istateicps_44 |  -1.526754   .2544104    -6.00   0.000    -2.025805   -1.027704
     _Istateicps_45 |   -.803001   .3785718    -2.12   0.034    -1.545606   -.0603963
     _Istateicps_46 |  -1.082049   .3977116    -2.72   0.007    -1.862198   -.3018997
     _Istateicps_47 |  -1.001188   .2819827    -3.55   0.000    -1.554324   -.4480518
     _Istateicps_48 |  -1.463757   .3393216    -4.31   0.000    -2.129369   -.7981454
     _Istateicps_49 |   .4599224   .3919867     1.17   0.241     -.308997    1.228842
     _Istateicps_51 |   -1.24849   .4024332    -3.10   0.002    -2.037901   -.4590786
     _Istateicps_52 |   -.392455    .225637    -1.74   0.082    -.8350635    .0501535
     _Istateicps_53 |   .2060109   .4886698     0.42   0.673    -.7525618    1.164584
     _Istateicps_54 |  -1.259658   .3022057    -4.17   0.000    -1.852463   -.6668527
     _Istateicps_56 |  -1.512474   .2553637    -5.92   0.000    -2.013394   -1.011554
     _Istateicps_61 |  -.7274372   .4357799    -1.67   0.095    -1.582261    .1273869
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.412693   .3415834    -1.21   0.227    -1.082742    .2573556
     _Istateicps_64 |   .1839315   .4409152     0.42   0.677    -.6809658    1.048829
     _Istateicps_65 |  -.4513559   .4108001    -1.10   0.272     -1.25718    .3544678
     _Istateicps_66 |  -.4022348   .4143476    -0.97   0.332    -1.215017    .4105476
     _Istateicps_67 |  -.5652015   .3089684    -1.83   0.068    -1.171273    .0408695
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4376038   .2926196     1.50   0.135    -.1363976    1.011605
     _Istateicps_72 |  -.4441898   .3682188    -1.21   0.228    -1.166486    .2781066
     _Istateicps_73 |  -.3152499   .3380901    -0.93   0.351    -.9784461    .3479462
     _Istateicps_98 |          0  (omitted)
              _cons |   6.818263   2.113483     3.23   0.001     2.672463    10.96406
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   237)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   237)
iAGRI_PF     |      15.52    0.0000 |       32.37   0.0000 |       15.52

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=21.38    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      55.48
Kleibergen-Paap Wald rk F statistic                                15.52

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,237)=       5.04     P-val=0.0072
Anderson-Rubin Wald test           Chi-sq(2)=     10.52     P-val=0.0052
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        238
Number of observations               N  =       1512
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    238                Number of obs =     1512
                                                      F( 55,   237) =   106.53
                                                      Prob > F      =   0.0000
Total (centered) SS     =  29.19331893                Centered R2   =   0.1464
Total (uncentered) SS   =  64.51886662                Uncentered R2 =   0.6138
Residual SS             =  24.91865342                Root MSE      =    .1284

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0473943    .013762     3.44   0.001     .0204213    .0743673
         ww1_vol_sh |   .0642761   .0273953     2.35   0.019     .0105823    .1179699
ww1_awards_pop10_is |   .0447093   .0463806     0.96   0.335    -.0461949    .1356136
             lpop30 |  -.0178181   .0175299    -1.02   0.309     -.052176    .0165399
           c30unemp |   .3399361   .2451896     1.39   0.166    -.1406267    .8204988
          c30urban1 |  -.0047084   .0101058    -0.47   0.641    -.0245154    .0150986
            c30farm |   .0272951   .0301132     0.91   0.365    -.0317257     .086316
            iYf_T29 |   .0034621   .0114917     0.30   0.763    -.0190612    .0259854
           MEAN9628 |  -.0008499   .0005696    -1.49   0.136    -.0019662    .0002665
             c30men |  -.5417054   .3003689    -1.80   0.071    -1.130418    .0470068
           c30black |   .0060253   .0366996     0.16   0.870    -.0659047    .0779552
             c30jap |   1.294375   1.123187     1.15   0.249    -.9070307    3.495781
             c30deu |   .0613406   .1629387     0.38   0.707    -.2580134    .3806945
             c30ita |  -.0350944   .2002444    -0.18   0.861    -.4275662    .3573774
             c30vet |   .3327202   .1454261     2.29   0.022     .0476903      .61775
           lc40wage |   .0595885   .0298637     2.00   0.046     .0010567    .1181203
      iwarconpro_PC |    .004304   .0052311     0.82   0.411    -.0059488    .0145567
      _Istateicps_2 |   .0051929   .0290904     0.18   0.858    -.0518233    .0622091
      _Istateicps_3 |   -.008557   .0164259    -0.52   0.602    -.0407512    .0236371
      _Istateicps_4 |   .0013393   .0302564     0.04   0.965    -.0579622    .0606407
      _Istateicps_5 |   .0582288   .0187321     3.11   0.002     .0215146    .0949431
      _Istateicps_6 |  -.0127264   .0389691    -0.33   0.744    -.0891044    .0636516
     _Istateicps_11 |  -.0345541   .0183919    -1.88   0.060    -.0706016    .0014934
     _Istateicps_12 |  -.0326022   .0194002    -1.68   0.093    -.0706259    .0054216
     _Istateicps_13 |   .0177696   .0222812     0.80   0.425    -.0259007      .06144
     _Istateicps_14 |   -.004721   .0231069    -0.20   0.838    -.0500097    .0405676
     _Istateicps_21 |  -.0569909   .0359488    -1.59   0.113    -.1274492    .0134674
     _Istateicps_22 |  -.0802841   .0295013    -2.72   0.007    -.1381055   -.0224626
     _Istateicps_23 |  -.0551507   .0384813    -1.43   0.152    -.1305726    .0202713
     _Istateicps_24 |  -.0291538   .0275324    -1.06   0.290    -.0831163    .0248086
     _Istateicps_25 |  -.1031101   .0511666    -2.02   0.044    -.2033947   -.0028254
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0073217   .0279484     0.26   0.793     -.047456    .0620995
     _Istateicps_41 |   .0256159   .0424255     0.60   0.546    -.0575366    .1087683
     _Istateicps_42 |  -.0225693   .0268971    -0.84   0.401    -.0752867    .0301481
     _Istateicps_43 |   .0173362   .0338116     0.51   0.608    -.0489333    .0836057
     _Istateicps_44 |  -.0019735   .0364833    -0.05   0.957    -.0734794    .0695324
     _Istateicps_45 |  -.0034483   .0287108    -0.12   0.904    -.0597205    .0528239
     _Istateicps_46 |   .0288022    .043303     0.67   0.506    -.0560701    .1136746
     _Istateicps_47 |  -.0125122    .026586    -0.47   0.638    -.0646198    .0395953
     _Istateicps_48 |  -.0017058   .0390151    -0.04   0.965    -.0781741    .0747625
     _Istateicps_49 |  -.0630142    .037595    -1.68   0.094    -.1366992    .0106707
     _Istateicps_51 |  -.0128399    .024344    -0.53   0.598    -.0605532    .0348734
     _Istateicps_52 |  -.0360574   .0308402    -1.17   0.242     -.096503    .0243883
     _Istateicps_53 |   -.068901   .0476181    -1.45   0.148    -.1622307    .0244287
     _Istateicps_54 |   -.010758   .0266692    -0.40   0.687    -.0630287    .0415126
     _Istateicps_56 |   .0217146   .0270085     0.80   0.421    -.0312211    .0746503
     _Istateicps_61 |   .0190673   .0426202     0.45   0.655    -.0644668    .1026014
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0342052   .0456424    -0.75   0.454    -.1236626    .0552522
     _Istateicps_64 |   .0547671   .0728524     0.75   0.452    -.0880209     .197555
     _Istateicps_65 |   -.020246   .0569174    -0.36   0.722    -.1318021    .0913102
     _Istateicps_66 |  -.0275999   .0349808    -0.79   0.430    -.0961609    .0409612
     _Istateicps_67 |  -.0115986   .0384648    -0.30   0.763    -.0869883    .0637911
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0242166   .0526636     0.46   0.646    -.0790022    .1274354
     _Istateicps_72 |  -.0521272   .0512427    -1.02   0.309     -.152561    .0483066
     _Istateicps_73 |   .0011045   .0375534     0.03   0.977    -.0724987    .0747077
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1293118   .2101805    -0.62   0.538     -.541258    .2826344
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             21.378
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               55.479
                         (Kleibergen-Paap rk Wald F statistic):         15.517
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est7 stored)

added macro:
            e(RA_test) : "0.007"

added macro:
       e(y_mean_round) : "0.153"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   1512
Number of clusters (CLIMDIVX) =    238
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3685042   .0678074     5.43   0.000     .2354934    .5015149
          iAGRI_T73 |   .2305458   .1128073     2.04   0.041     .0092635    .4518281
         ww1_vol_sh |   .0241737   .1194755     0.20   0.840    -.2101889    .2585363
ww1_awards_pop10_is |   .0588936   .2114474     0.28   0.781    -.3558808     .473668
             lpop30 |  -.1256526   .0449016    -2.80   0.005    -.2137315   -.0375738
           c30unemp |  -2.619692   .8119897    -3.23   0.001    -4.212488   -1.026897
          c30urban1 |     .20623   .0642077     3.21   0.001     .0802805    .3321795
            c30farm |   .1995496   .3382333     0.59   0.555    -.4639274    .8630265
            iYf_T29 |   .2991239   .0941078     3.18   0.002     .1145225    .4837253
           MEAN9628 |   .0097708   .0042257     2.31   0.021     .0014817      .01806
             c30men |  -1.765654   2.294302    -0.77   0.442    -6.266148     2.73484
           c30black |   .0091473   .4582744     0.02   0.984    -.8898018    .9080964
             c30jap |  -7.224042   5.718234    -1.26   0.207     -18.4409    3.992822
             c30deu |    .637614   .8366993     0.76   0.446    -1.003652     2.27888
             c30ita |  -1.595422   1.191879    -1.34   0.181    -3.933406    .7425628
             c30vet |   .2256064   .9274652     0.24   0.808    -1.593705    2.044918
           lc40wage |   .0584543   .1877357     0.31   0.756    -.3098073    .4267159
      iwarconpro_PC |  -.0009724   .0383749    -0.03   0.980    -.0762484    .0743036
      _Istateicps_2 |  -1.356163   .3690854    -3.67   0.000    -2.080159   -.6321667
      _Istateicps_3 |  -.0438816   .1506471    -0.29   0.771    -.3393902    .2516271
      _Istateicps_4 |  -1.302029   .1865786    -6.98   0.000     -1.66802    -.936037
      _Istateicps_5 |  -.2260218   .1254621    -1.80   0.072    -.4721276    .0200841
      _Istateicps_6 |  -.9252924    .228414    -4.05   0.000    -1.373348   -.4772365
     _Istateicps_11 |  -.5294173   .3617012    -1.46   0.143    -1.238929    .1800943
     _Istateicps_12 |  -.2908644   .2012519    -1.45   0.149    -.6856393    .1039104
     _Istateicps_13 |  -1.265713   .2294317    -5.52   0.000    -1.715766    -.815661
     _Istateicps_14 |  -1.245727   .1974094    -6.31   0.000    -1.632965   -.8584896
     _Istateicps_21 |   -.716907   .3169625    -2.26   0.024    -1.338659   -.0951547
     _Istateicps_22 |  -.7879579   .2865521    -2.75   0.006    -1.350057   -.2258585
     _Istateicps_23 |  -.8957063   .2702965    -3.31   0.001    -1.425919   -.3654938
     _Istateicps_24 |   -1.01756   .2489944    -4.09   0.000    -1.505987   -.5291338
     _Istateicps_25 |  -.6703102   .2948706    -2.27   0.023    -1.248727   -.0918932
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.182543   .2584584    -4.58   0.000    -1.689534   -.6755525
     _Istateicps_41 |  -.7352093   .2688467    -2.73   0.006    -1.262578   -.2078407
     _Istateicps_42 |  -1.555973   .3231292    -4.82   0.000    -2.189822   -.9221242
     _Istateicps_43 |  -.9471811   .3700793    -2.56   0.011    -1.673127   -.2212352
     _Istateicps_44 |  -1.526754   .2544104    -6.00   0.000    -2.025805   -1.027704
     _Istateicps_45 |   -.803001   .3785718    -2.12   0.034    -1.545606   -.0603963
     _Istateicps_46 |  -1.082049   .3977116    -2.72   0.007    -1.862198   -.3018997
     _Istateicps_47 |  -1.001188   .2819827    -3.55   0.000    -1.554324   -.4480518
     _Istateicps_48 |  -1.463757   .3393216    -4.31   0.000    -2.129369   -.7981454
     _Istateicps_49 |   .4599224   .3919867     1.17   0.241     -.308997    1.228842
     _Istateicps_51 |   -1.24849   .4024332    -3.10   0.002    -2.037901   -.4590786
     _Istateicps_52 |   -.392455    .225637    -1.74   0.082    -.8350635    .0501535
     _Istateicps_53 |   .2060109   .4886698     0.42   0.673    -.7525618    1.164584
     _Istateicps_54 |  -1.259658   .3022057    -4.17   0.000    -1.852463   -.6668527
     _Istateicps_56 |  -1.512474   .2553637    -5.92   0.000    -2.013394   -1.011554
     _Istateicps_61 |  -.7274372   .4357799    -1.67   0.095    -1.582261    .1273869
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.412693   .3415834    -1.21   0.227    -1.082742    .2573556
     _Istateicps_64 |   .1839315   .4409152     0.42   0.677    -.6809658    1.048829
     _Istateicps_65 |  -.4513559   .4108001    -1.10   0.272     -1.25718    .3544678
     _Istateicps_66 |  -.4022348   .4143476    -0.97   0.332    -1.215017    .4105476
     _Istateicps_67 |  -.5652015   .3089684    -1.83   0.068    -1.171273    .0408695
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4376038   .2926196     1.50   0.135    -.1363976    1.011605
     _Istateicps_72 |  -.4441898   .3682188    -1.21   0.228    -1.166486    .2781066
     _Istateicps_73 |  -.3152499   .3380901    -0.93   0.351    -.9784461    .3479462
     _Istateicps_98 |          0  (omitted)
              _cons |   6.818263   2.113483     3.23   0.001     2.672463    10.96406
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   237) =    15.52
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   237)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   237)
iAGRI_PF     |      15.52    0.0000 |       32.37   0.0000 |       15.52

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=21.38    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      55.48
Kleibergen-Paap Wald rk F statistic                                15.52

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,237)=      13.28     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     27.70     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        238
Number of observations               N  =       1512
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    238                Number of obs =     1512
                                                      F( 55,   237) =    96.67
                                                      Prob > F      =   0.0000
Total (centered) SS     =  2183.928004                Centered R2   =   0.4842
Total (uncentered) SS   =  2218.829726                Uncentered R2 =   0.4923
Residual SS             =   1126.56664                Root MSE      =    .8632

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .7077377   .1076295     6.58   0.000     .4967878    .9186876
         ww1_vol_sh |   .4978016   .1664046     2.99   0.003     .1716546    .8239485
ww1_awards_pop10_is |   .4107738    .270296     1.52   0.129    -.1189967    .9405442
             lpop30 |  -.0815217   .0915253    -0.89   0.373     -.260908    .0978645
           c30unemp |   2.964156   1.392785     2.13   0.033      .234347    5.693965
          c30urban1 |  -.0341209   .0718234    -0.48   0.635    -.1748922    .1066504
            c30farm |   -.611854   .2888717    -2.12   0.034    -1.178032   -.0456758
            iYf_T29 |  -.0884088   .0775292    -1.14   0.254    -.2403632    .0635457
           MEAN9628 |  -.0080158    .003987    -2.01   0.044    -.0158302   -.0002015
             c30men |  -4.205725   2.224797    -1.89   0.059    -8.566247    .1547976
           c30black |  -.7519234    .379482    -1.98   0.048    -1.495694   -.0081523
             c30jap |   16.05461   5.857142     2.74   0.006     4.574821     27.5344
             c30deu |   .1694974   .9124697     0.19   0.853     -1.61891    1.957905
             c30ita |  -.4475491   1.413651    -0.32   0.752    -3.218253    2.323155
             c30vet |   3.469822   1.022698     3.39   0.001      1.46537    5.474274
           lc40wage |   .9146998   .1955117     4.68   0.000     .5315039    1.297896
      iwarconpro_PC |   .2215872   .0459217     4.83   0.000     .1315822    .3115921
      _Istateicps_2 |   .3860493   .2972579     1.30   0.194    -.1965655    .9686642
      _Istateicps_3 |  -.0946888   .2324074    -0.41   0.684    -.5501989    .3608213
      _Istateicps_4 |   .7795916   .2527769     3.08   0.002     .2841579    1.275025
      _Istateicps_5 |   .0540117   .1955513     0.28   0.782    -.3292618    .4372853
      _Istateicps_6 |   .7550805   .3278868     2.30   0.021     .1124341    1.397727
     _Istateicps_11 |  -.0078436   .2857777    -0.03   0.978    -.5679575    .5522704
     _Istateicps_12 |  -.2713626   .2210446    -1.23   0.220    -.7046021    .1618769
     _Istateicps_13 |   .4639422   .2422246     1.92   0.055    -.0108092    .9386937
     _Istateicps_14 |   .0376625   .2309788     0.16   0.870    -.4150476    .4903726
     _Istateicps_21 |  -.3099824    .286494    -1.08   0.279    -.8715003    .2515354
     _Istateicps_22 |  -.5105971   .2605567    -1.96   0.050    -1.021279    .0000846
     _Istateicps_23 |   -.312811   .3010112    -1.04   0.299    -.9027822    .2771601
     _Istateicps_24 |  -.2493913     .24618    -1.01   0.311    -.7318951    .2331126
     _Istateicps_25 |  -.2827812   .3352632    -0.84   0.399    -.9398851    .3743226
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .2334602   .2859511     0.82   0.414    -.3269936     .793914
     _Istateicps_41 |   .5957675   .3052151     1.95   0.051    -.0024431    1.193978
     _Istateicps_42 |  -.5947666   .2778526    -2.14   0.032    -1.139348   -.0501856
     _Istateicps_43 |   .7826677   .2752753     2.84   0.004      .243138    1.322197
     _Istateicps_44 |   .5596861   .3485446     1.61   0.108    -.1234486    1.242821
     _Istateicps_45 |  -.2393753   .3465851    -0.69   0.490    -.9186697    .4399191
     _Istateicps_46 |   .8268645   .3815853     2.17   0.030      .078971    1.574758
     _Istateicps_47 |   .2189729   .3531606     0.62   0.535    -.4732091     .911155
     _Istateicps_48 |   .0831878   .3536521     0.24   0.814    -.6099576    .7763331
     _Istateicps_49 |   .2645858   .3437138     0.77   0.441    -.4090809    .9382524
     _Istateicps_51 |  -.0315811   .2906235    -0.11   0.913    -.6011928    .5380305
     _Istateicps_52 |  -.6209121   .2918451    -2.13   0.033    -1.192918   -.0489062
     _Istateicps_53 |  -.3973851   .3913708    -1.02   0.310    -1.164458    .3696877
     _Istateicps_54 |    .096872   .2608604     0.37   0.710    -.4144051     .608149
     _Istateicps_56 |   .6297097   .2960608     2.13   0.033     .0494412    1.209978
     _Istateicps_61 |  -.6789111   .3445214    -1.97   0.049    -1.354161   -.0036616
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.3174248   .3127462    -1.01   0.310     -.930396    .2955465
     _Istateicps_64 |   .6093311    .404145     1.51   0.132    -.1827785    1.401441
     _Istateicps_65 |  -.3967486   .3828299    -1.04   0.300    -1.147081    .3535842
     _Istateicps_66 |  -.2538247   .2738191    -0.93   0.354    -.7905002    .2828508
     _Istateicps_67 |  -.5512547   .2855013    -1.93   0.054    -1.110827    .0083175
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.1459955   .3534187    -0.41   0.680    -.8386833    .5466923
     _Istateicps_72 |  -.2092747   .3548433    -0.59   0.555    -.9047547    .4862053
     _Istateicps_73 |   .3574528   .2839102     1.26   0.208     -.199001    .9139066
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.220465   1.959044    -3.69   0.000    -11.06012   -3.380809
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             21.378
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               55.479
                         (Kleibergen-Paap rk Wald F statistic):         15.517
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est8 stored)

added macro:
            e(RA_test) : "0.000"

added macro:
       e(y_mean_round) : "0.152"
(output written to results/tables/AppTab13_robust-sharecropper.tex)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,730
                                                F(64, 2665)       =      99.23
                                                Prob > F          =     0.0000
                                                R-squared         =     0.7039
                                                Root MSE          =     .36521

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1402546   .0150276     9.33   0.000     .1107876    .1697216
         ww1_vol_sh |   .0018191   .0352347     0.05   0.959    -.0672711    .0709093
ww1_awards_pop10_is |   .2536801   .0830013     3.06   0.002     .0909266    .4164335
             lpop30 |  -.0724878   .0157407    -4.61   0.000    -.1033531   -.0416225
           c30unemp |  -.2302651   .2532136    -0.91   0.363    -.7267801    .2662498
          c30urban1 |   .0500502   .0197933     2.53   0.012     .0112383     .088862
            c30farm |  -.4371186   .0829199    -5.27   0.000    -.5997124   -.2745248
            iYf_T29 |   .0807194   .0193677     4.17   0.000     .0427421    .1186967
           MEAN9628 |   .0024982   .0009145     2.73   0.006     .0007051    .0042914
             c30men |  -1.542566   .6477436    -2.38   0.017    -2.812697    -.272435
           c30black |  -.2575463   .0855623    -3.01   0.003    -.4253214   -.0897711
             c30jap |   2.085663   1.766818     1.18   0.238     -1.37881    5.550136
             c30deu |   .6623842   .1719934     3.85   0.000     .3251303    .9996382
             c30ita |   .2881589   .4529675     0.64   0.525    -.6000446    1.176362
             c30vet |   .7617137   .3462287     2.20   0.028     .0828096    1.440618
           lc40wage |   .5656001   .0592362     9.55   0.000     .4494466    .6817536
      iwarconpro_PC |   .2686232   .0232542    11.55   0.000      .223025    .3142213
      _Istateicps_2 |  -.0051815   .1502676    -0.03   0.972    -.2998344    .2894714
      _Istateicps_3 |  -.1408003   .1419172    -0.99   0.321    -.4190792    .1374786
      _Istateicps_4 |   .0248462   .1831986     0.14   0.892    -.3343796     .384072
      _Istateicps_5 |  -.3511605   .3921667    -0.90   0.371    -1.120142    .4178215
      _Istateicps_6 |   .0365685   .1423582     0.26   0.797    -.2425752    .3157122
     _Istateicps_11 |   .3289158   .1627611     2.02   0.043      .009765    .6480666
     _Istateicps_12 |    -.09569   .1340462    -0.71   0.475    -.3585351    .1671551
     _Istateicps_13 |   .0696018   .1189568     0.59   0.559    -.1636551    .3028588
     _Istateicps_14 |   .1323614    .120851     1.10   0.274    -.1046098    .3693326
     _Istateicps_21 |   .1155126   .1251527     0.92   0.356    -.1298937    .3609189
     _Istateicps_22 |   .0393525   .1252644     0.31   0.753    -.2062727    .2849777
     _Istateicps_23 |   .0428031   .1260022     0.34   0.734    -.2042688    .2898751
     _Istateicps_24 |   .0132528   .1237944     0.11   0.915      -.22949    .2559956
     _Istateicps_25 |   .0654363   .1318292     0.50   0.620    -.1930617    .3239343
     _Istateicps_31 |   .5579125   .1296472     4.30   0.000     .3036932    .8121318
     _Istateicps_32 |   .3505899   .1292235     2.71   0.007     .0972015    .6039784
     _Istateicps_33 |   .3797103   .1338882     2.84   0.005      .117175    .6422457
     _Istateicps_34 |   .0674481   .1264001     0.53   0.594    -.1804042    .3153004
     _Istateicps_35 |   .5147063   .1328555     3.87   0.000      .254196    .7752166
     _Istateicps_36 |   .5871779   .1587003     3.70   0.000     .2759897    .8983661
     _Istateicps_37 |    .384785   .1382883     2.78   0.005     .1136218    .6559482
     _Istateicps_40 |   .0635894   .1361615     0.47   0.641    -.2034034    .3305823
     _Istateicps_41 |    .052585   .1316447     0.40   0.690    -.2055511    .3107212
     _Istateicps_42 |  -.3158517   .1355985    -2.33   0.020    -.5817405   -.0499628
     _Istateicps_43 |  -.0705602   .1538863    -0.46   0.647    -.3723088    .2311884
     _Istateicps_44 |  -.1420076   .1322835    -1.07   0.283    -.4013962     .117381
     _Istateicps_45 |  -.2433171   .1353601    -1.80   0.072    -.5087386    .0221045
     _Istateicps_46 |  -.0213677   .1349026    -0.16   0.874     -.285892    .2431566
     _Istateicps_47 |  -.0663078   .1318528    -0.50   0.615    -.3248519    .1922363
     _Istateicps_48 |  -.3550072   .1469929    -2.42   0.016    -.6432388   -.0667755
     _Istateicps_49 |   .1147051   .1301863     0.88   0.378    -.1405713    .3699816
     _Istateicps_51 |  -.2321089   .1278792    -1.82   0.070    -.4828613    .0186435
     _Istateicps_52 |  -.0073752   .1564593    -0.05   0.962    -.3141692    .2994188
     _Istateicps_53 |   .0689429   .1311204     0.53   0.599    -.1881651     .326051
     _Istateicps_54 |  -.1144249   .1296742    -0.88   0.378    -.3686972    .1398474
     _Istateicps_56 |   -.063389   .1303708    -0.49   0.627    -.3190272    .1922492
     _Istateicps_61 |   .0694433   .1412281     0.49   0.623    -.2074844     .346371
     _Istateicps_62 |   .0941717   .1294954     0.73   0.467    -.1597501    .3480934
     _Istateicps_63 |   .1878041    .134626     1.40   0.163     -.076178    .4517861
     _Istateicps_64 |   .5215747   .1418412     3.68   0.000     .2434448    .7997047
     _Istateicps_65 |   .2662222   .1482781     1.80   0.073    -.0245296    .5569741
     _Istateicps_66 |  -.1916541    .158367    -1.21   0.226    -.5021888    .1188805
     _Istateicps_67 |  -.0533109   .1419777    -0.38   0.707    -.3317085    .2250867
     _Istateicps_68 |   .3197791   .1405123     2.28   0.023     .0442549    .5953032
     _Istateicps_71 |   .2568157   .1330419     1.93   0.054    -.0040601    .5176914
     _Istateicps_72 |   .5295769   .1361012     3.89   0.000     .2627023    .7964515
     _Istateicps_73 |   .4185901   .1692458     2.47   0.013     .0867236    .7504566
     _Istateicps_98 |          0  (omitted)
              _cons |   1.153395   .5401819     2.14   0.033     .0941764    2.212613
-------------------------------------------------------------------------------------
(est1 stored)

added macro:
       e(y_mean_round) : "4.632"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,143
                                                F(55, 2087)       =      68.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6318
                                                Root MSE          =     .20068

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0388963   .0078247     4.97   0.000     .0235513    .0542414
         ww1_vol_sh |   .0739796   .0228809     3.23   0.001     .0291077    .1188514
ww1_awards_pop10_is |   .1429796   .1125649     1.27   0.204    -.0777717    .3637308
             lpop30 |  -.0056775   .0081947    -0.69   0.488    -.0217482    .0103932
           c30unemp |   .4446761    .177451     2.51   0.012     .0966767    .7926755
          c30urban1 |   .0148047   .0129147     1.15   0.252    -.0105223    .0401317
            c30farm |   -.090678   .0508677    -1.78   0.075    -.1904347    .0090786
            iYf_T29 |  -.0322573   .0109687    -2.94   0.003    -.0537679   -.0107466
           MEAN9628 |  -.0004358   .0004971    -0.88   0.381    -.0014106     .000539
             c30men |  -.9328563   .4100296    -2.28   0.023    -1.736966   -.1287466
           c30black |  -.4251393    .035952   -11.83   0.000    -.4956448   -.3546338
             c30jap |    .436223    1.15884     0.38   0.707    -1.836379    2.708825
             c30deu |  -.7375823    .140972    -5.23   0.000    -1.014043   -.4611219
             c30ita |  -.0845365   .2327756    -0.36   0.717     -.541033    .3719601
             c30vet |   1.739561   .2383949     7.30   0.000     1.272045    2.207078
           lc40wage |   .1850813   .0323679     5.72   0.000     .1216045     .248558
      iwarconpro_PC |   -.038266   .0077396    -4.94   0.000     -.053444   -.0230879
      _Istateicps_2 |      .0337   .0553031     0.61   0.542    -.0747549     .142155
      _Istateicps_3 |   .0313583   .0544485     0.58   0.565    -.0754206    .1381373
      _Istateicps_4 |   .2682356   .0762545     3.52   0.000     .1186929    .4177784
      _Istateicps_5 |  -.0048142    .064966    -0.07   0.941    -.1322191    .1225906
      _Istateicps_6 |    .332738   .0745234     4.46   0.000     .1865901    .4788859
     _Istateicps_11 |  -.1347982   .0687027    -1.96   0.050    -.2695311   -.0000652
     _Istateicps_12 |  -.0933237   .0490923    -1.90   0.057    -.1895987    .0029512
     _Istateicps_13 |   .0656384   .0494665     1.33   0.185    -.0313705    .1626473
     _Istateicps_14 |  -.1720769   .0477272    -3.61   0.000    -.2656749    -.078479
     _Istateicps_21 |   .0311615   .0511298     0.61   0.542    -.0691091    .1314322
     _Istateicps_22 |  -.0646676   .0501828    -1.29   0.198    -.1630811    .0337458
     _Istateicps_23 |  -.0097579   .0562527    -0.17   0.862    -.1200752    .1005594
     _Istateicps_24 |   -.065703   .0498667    -1.32   0.188    -.1634966    .0320907
     _Istateicps_25 |   .2104642   .0584687     3.60   0.000      .095801    .3251273
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1194605    .052414    -2.28   0.023    -.2222496   -.0166713
     _Istateicps_41 |   .0960148   .0552523     1.74   0.082    -.0123406    .2043702
     _Istateicps_42 |   -.226237   .0521589    -4.34   0.000    -.3285259    -.123948
     _Istateicps_43 |   .2426481   .0605252     4.01   0.000     .1239521    .3613442
     _Istateicps_44 |   .1897017   .0535814     3.54   0.000     .0846232    .2947802
     _Istateicps_45 |  -.1836085   .0530666    -3.46   0.001    -.2876775   -.0795396
     _Istateicps_46 |   .1519633   .0566496     2.68   0.007     .0408677    .2630589
     _Istateicps_47 |  -.0081249   .0515522    -0.16   0.875    -.1092239    .0929742
     _Istateicps_48 |   .0706216   .0571774     1.24   0.217     -.041509    .1827523
     _Istateicps_49 |   .5121801   .0555966     9.21   0.000     .4031495    .6212108
     _Istateicps_51 |   .0645325   .0525526     1.23   0.220    -.0385284    .1675934
     _Istateicps_52 |  -.2684518   .0564322    -4.76   0.000    -.3791211   -.1577825
     _Istateicps_53 |   .1510458    .055793     2.71   0.007     .0416301    .2604615
     _Istateicps_54 |   -.025406   .0540783    -0.47   0.639    -.1314591    .0806471
     _Istateicps_56 |   .1148813   .0571889     2.01   0.045     .0027281    .2270345
     _Istateicps_61 |  -.5278758   .0649648    -8.13   0.000    -.6552784   -.4004733
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0580048   .0616144    -0.94   0.347    -.1788368    .0628273
     _Istateicps_64 |   .1417593   .0652847     2.17   0.030     .0137295    .2697891
     _Istateicps_65 |  -.1966905   .0949487    -2.07   0.038    -.3828944   -.0104865
     _Istateicps_66 |   .0609374   .0709112     0.86   0.390    -.0781265    .2000014
     _Istateicps_67 |  -.1842231   .0617183    -2.98   0.003     -.305259   -.0631872
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0468963    .061577    -0.76   0.446     -.167655    .0738625
     _Istateicps_72 |  -.1562101   .0620692    -2.52   0.012    -.2779341   -.0344861
     _Istateicps_73 |   .0595256   .0627806     0.95   0.343    -.0635936    .1826447
     _Istateicps_98 |          0  (omitted)
              _cons |  -.3328291   .3036131    -1.10   0.273    -.9282452     .262587
-------------------------------------------------------------------------------------
(est2 stored)

added macro:
       e(y_mean_round) : "0.616"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,143
                                                F(55, 2087)       =      12.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1943
                                                Root MSE          =     .09938

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0124546    .003731     3.34   0.001     .0051377    .0197714
         ww1_vol_sh |   .0311891   .0114247     2.73   0.006     .0087841    .0535942
ww1_awards_pop10_is |   .0373044   .0329169     1.13   0.257    -.0272491    .1018578
             lpop30 |  -.0065321   .0048786    -1.34   0.181    -.0160995    .0030353
           c30unemp |   .0424726    .064866     0.65   0.513    -.0847362    .1696814
          c30urban1 |   .0043952   .0060562     0.73   0.468    -.0074816     .016272
            c30farm |   .0154017   .0246742     0.62   0.533    -.0329869    .0637903
            iYf_T29 |   .0065494   .0061322     1.07   0.286    -.0054764    .0185753
           MEAN9628 |   .0002197   .0002452     0.90   0.370    -.0002611    .0007006
             c30men |  -.2623968   .2539776    -1.03   0.302    -.7604727     .235679
           c30black |  -.0646486   .0155745    -4.15   0.000    -.0951917   -.0341054
             c30jap |   2.163897   .6560662     3.30   0.001     .8772842    3.450509
             c30deu |  -.0697043   .0655024    -1.06   0.287    -.1981612    .0587526
             c30ita |   .1061349   .1344443     0.79   0.430    -.1575241    .3697938
             c30vet |   .2303157   .1160402     1.98   0.047     .0027491    .4578824
           lc40wage |    .057102   .0163135     3.50   0.000     .0251096    .0890943
      iwarconpro_PC |   .0034837   .0043755     0.80   0.426    -.0050971    .0120645
      _Istateicps_2 |  -.0062097   .0287522    -0.22   0.829    -.0625957    .0501763
      _Istateicps_3 |   .0025596    .024585     0.10   0.917     -.045654    .0507732
      _Istateicps_4 |  -.0064192   .0348444    -0.18   0.854    -.0747526    .0619143
      _Istateicps_5 |   .0700579   .0557782     1.26   0.209    -.0393288    .1794447
      _Istateicps_6 |   .0000735   .0322437     0.00   0.998    -.0631597    .0633067
     _Istateicps_11 |  -.0357596   .0245969    -1.45   0.146    -.0839966    .0124774
     _Istateicps_12 |  -.0290978   .0232117    -1.25   0.210    -.0746182    .0164227
     _Istateicps_13 |   .0039322   .0223171     0.18   0.860    -.0398339    .0476982
     _Istateicps_14 |  -.0201042   .0226911    -0.89   0.376    -.0646038    .0243954
     _Istateicps_21 |  -.0211176    .024662    -0.86   0.392    -.0694822    .0272471
     _Istateicps_22 |  -.0450014   .0251251    -1.79   0.073    -.0942743    .0042715
     _Istateicps_23 |  -.0086269   .0257194    -0.34   0.737    -.0590652    .0418115
     _Istateicps_24 |  -.0028311   .0242951    -0.12   0.907    -.0504762     .044814
     _Istateicps_25 |  -.0338927   .0283907    -1.19   0.233    -.0895696    .0217843
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0122743   .0264795    -0.46   0.643    -.0642033    .0396547
     _Istateicps_41 |  -.0228986   .0261132    -0.88   0.381    -.0741093     .028312
     _Istateicps_42 |  -.0260444   .0261174    -1.00   0.319    -.0772633    .0251746
     _Istateicps_43 |    .026681   .0323812     0.82   0.410    -.0368218    .0901838
     _Istateicps_44 |  -.0228305    .026271    -0.87   0.385    -.0743506    .0286897
     _Istateicps_45 |  -.0278031    .026723    -1.04   0.298    -.0802096    .0246034
     _Istateicps_46 |   .0086911   .0281008     0.31   0.757    -.0464174    .0637995
     _Istateicps_47 |   -.028369    .025155    -1.13   0.260    -.0777006    .0209626
     _Istateicps_48 |  -.0198468   .0275902    -0.72   0.472     -.073954    .0342603
     _Istateicps_49 |   .0106314   .0263827     0.40   0.687    -.0411077    .0623705
     _Istateicps_51 |  -.0146681   .0255879    -0.57   0.567    -.0648486    .0355125
     _Istateicps_52 |  -.0163161   .0345964    -0.47   0.637    -.0841632     .051531
     _Istateicps_53 |  -.0052109    .027336    -0.19   0.849    -.0588195    .0483978
     _Istateicps_54 |  -.0191861   .0256959    -0.75   0.455    -.0695784    .0312062
     _Istateicps_56 |  -.0097945   .0269103    -0.36   0.716    -.0625684    .0429794
     _Istateicps_61 |    .074663   .0414563     1.80   0.072    -.0066371    .1559631
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0261091   .0396154     0.66   0.510    -.0515807    .1037989
     _Istateicps_64 |   .0791754   .0455647     1.74   0.082    -.0101815    .1685324
     _Istateicps_65 |   .0182077    .069607     0.26   0.794    -.1182986     .154714
     _Istateicps_66 |  -.0060918   .0337336    -0.18   0.857    -.0722468    .0600633
     _Istateicps_67 |   .0288334   .0422227     0.68   0.495    -.0539696    .1116365
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0027571   .0328741     0.08   0.933    -.0617122    .0672265
     _Istateicps_72 |   .0278617   .0358576     0.78   0.437    -.0424586    .0981821
     _Istateicps_73 |   .0273771   .0335858     0.82   0.415    -.0384881    .0932422
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1760131   .1618049    -1.09   0.277    -.4933288    .1413027
-------------------------------------------------------------------------------------
(est3 stored)

added macro:
       e(y_mean_round) : "0.135"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,143
                                                F(55, 2087)       =     104.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6906
                                                Root MSE          =     .66383

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |    .217852   .0254705     8.55   0.000     .1679017    .2678023
         ww1_vol_sh |   .2746045   .0751133     3.66   0.000     .1272996    .4219093
ww1_awards_pop10_is |   .6461687   .2942547     2.20   0.028     .0691053    1.223232
             lpop30 |  -.1151757    .027845    -4.14   0.000    -.1697825   -.0605689
           c30unemp |   .8655074   .5202445     1.66   0.096    -.1547448     1.88576
          c30urban1 |   .1246376   .0417794     2.98   0.003      .042704    .2065713
            c30farm |  -.4951857   .1804989    -2.74   0.006    -.8491623   -.1412092
            iYf_T29 |   .0400523   .0394211     1.02   0.310    -.0372566    .1173611
           MEAN9628 |   .0034454   .0015831     2.18   0.030     .0003409    .0065499
             c30men |  -4.819486   1.484732    -3.25   0.001    -7.731197   -1.907776
           c30black |  -1.217143   .1235295    -9.85   0.000    -1.459397   -.9748888
             c30jap |   12.67571   4.166497     3.04   0.002     4.504783    20.84663
             c30deu |  -.6429416   .4334141    -1.48   0.138    -1.492911    .2070274
             c30ita |   .3872714   .9134819     0.42   0.672    -1.404159    2.178702
             c30vet |   4.458127   .8373871     5.32   0.000     2.815926    6.100328
           lc40wage |   1.090962   .1130885     9.65   0.000     .8691839     1.31274
      iwarconpro_PC |   .2120141   .0317542     6.68   0.000      .149741    .2742873
      _Istateicps_2 |   .0107925   .1887041     0.06   0.954    -.3592754    .3808604
      _Istateicps_3 |   -.044771   .2007115    -0.22   0.824    -.4383866    .3488446
      _Istateicps_4 |   .4255565   .2622215     1.62   0.105    -.0886865    .9397994
      _Istateicps_5 |  -.0269807   .4476595    -0.06   0.952    -.9048862    .8509249
      _Istateicps_6 |   .6192536   .2350193     2.63   0.008     .1583569     1.08015
     _Istateicps_11 |  -.0774326   .1892134    -0.41   0.682    -.4484992     .293634
     _Istateicps_12 |  -.3523123   .1712221    -2.06   0.040    -.6880961   -.0165285
     _Istateicps_13 |   .1859793   .1590246     1.17   0.242    -.1258841    .4978427
     _Istateicps_14 |  -.2629363   .1620651    -1.62   0.105    -.5807624    .0548899
     _Istateicps_21 |   .0993459   .1724735     0.58   0.565     -.238892    .4375839
     _Istateicps_22 |  -.2432568   .1742885    -1.40   0.163    -.5850541    .0985406
     _Istateicps_23 |   .0118708   .1846594     0.06   0.949    -.3502651    .3740066
     _Istateicps_24 |  -.1084409   .1703795    -0.64   0.525    -.4425724    .2256905
     _Istateicps_25 |   .2841391   .1932809     1.47   0.142    -.0949043    .6631826
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1745738   .1881081    -0.93   0.353    -.5434728    .1943252
     _Istateicps_41 |   .1472916   .1861338     0.79   0.429    -.2177356    .5123187
     _Istateicps_42 |   -.725227   .1896388    -3.82   0.000    -1.097128   -.3533261
     _Istateicps_43 |   .4710313   .2282473     2.06   0.039     .0234153    .9186473
     _Istateicps_44 |   .1330743   .1849109     0.72   0.472    -.2295546    .4957033
     _Istateicps_45 |   -.615244   .1894352    -3.25   0.001    -.9867456   -.2437424
     _Istateicps_46 |   .2897357   .1987774     1.46   0.145    -.1000869    .6795583
     _Istateicps_47 |   -.157562   .1828483    -0.86   0.389     -.516146     .201022
     _Istateicps_48 |  -.2724831   .1968347    -1.38   0.166     -.658496    .1135297
     _Istateicps_49 |   1.051902   .1883779     5.58   0.000     .6824739     1.42133
     _Istateicps_51 |  -.1062899   .1807876    -0.59   0.557    -.4608328     .248253
     _Istateicps_52 |  -.4948662   .2386173    -2.07   0.038     -.962819   -.0269135
     _Istateicps_53 |   .3496162   .1897402     1.84   0.066    -.0224836     .721716
     _Istateicps_54 |  -.1795452   .1827877    -0.98   0.326    -.5380103    .1789199
     _Istateicps_56 |   .1085879   .1917509     0.57   0.571    -.2674552    .4846309
     _Istateicps_61 |  -.4717714   .2308311    -2.04   0.041    -.9244544   -.0190883
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .2483526   .2323444     1.07   0.285    -.2072982    .7040035
     _Istateicps_64 |   1.106712   .2520174     4.39   0.000     .6124807    1.600944
     _Istateicps_65 |   .0444637   .3814155     0.12   0.907    -.7035307    .7924582
     _Istateicps_66 |  -.0440434   .2541129    -0.17   0.862    -.5423845    .4542976
     _Istateicps_67 |  -.1947805    .258252    -0.75   0.451    -.7012389    .3116779
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .2173827    .215011     1.01   0.312    -.2042757    .6390411
     _Istateicps_72 |   .3584337   .2304438     1.56   0.120    -.0934901    .8103574
     _Istateicps_73 |   .6360822   .2539458     2.50   0.012     .1380688    1.134096
     _Istateicps_98 |          0  (omitted)
              _cons |  -5.632943   1.053247    -5.35   0.000    -7.698467    -3.56742
-------------------------------------------------------------------------------------
(est4 stored)

added macro:
       e(y_mean_round) : "-0.083"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2730
Number of clusters (CLIMDIVX) =    330
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2469958   .0584032     4.23   0.000     .1324755     .361516
          iAGRI_T73 |   .2610658   .0825776     3.16   0.002     .0991431    .4229885
         ww1_vol_sh |   .0531648   .0843448     0.63   0.529    -.1122231    .2185527
ww1_awards_pop10_is |   .1866347   .1579959     1.18   0.238    -.1231723    .4964416
             lpop30 |  -.1799679   .0425159    -4.23   0.000    -.2633355   -.0966004
           c30unemp |  -1.041009   .6005307    -1.73   0.083    -2.218563    .1365442
          c30urban1 |   .1390723   .0425377     3.27   0.001     .0556621    .2224826
            c30farm |   .3655361   .2928683     1.25   0.212    -.2087361    .9398084
            iYf_T29 |   .3025652   .0729004     4.15   0.000     .1596181    .4455123
           MEAN9628 |   .0094169   .0028374     3.32   0.001     .0038532    .0149806
             c30men |  -1.763302    1.70294    -1.04   0.301    -5.102519    1.575916
           c30black |  -.1443627   .2653083    -0.54   0.586    -.6645938    .3758684
             c30jap |  -3.496553   4.977119    -0.70   0.482    -13.25596    6.262855
             c30deu |   .6259167   .5738311     1.09   0.275    -.4992828    1.751116
             c30ita |  -1.514108   1.013573    -1.49   0.135    -3.501577    .4733612
             c30vet |   .9995633   .7928986     1.26   0.208    -.5551958    2.554322
           lc40wage |   .1877927    .148049     1.27   0.205    -.1025099    .4780953
      iwarconpro_PC |  -.0178752   .0287434    -0.62   0.534    -.0742367    .0384864
      _Istateicps_2 |  -1.443909   .3431445    -4.21   0.000    -2.116765   -.7710523
      _Istateicps_3 |  -.0577167   .1240147    -0.47   0.642    -.3008915    .1854581
      _Istateicps_4 |  -1.386773   .1655098    -8.38   0.000    -1.711313   -1.062232
      _Istateicps_5 |  -.3128338   .1107862    -2.82   0.005    -.5300695   -.0955981
      _Istateicps_6 |  -1.052944   .2005271    -5.25   0.000    -1.446149   -.6597394
     _Istateicps_11 |  -.4665137   .3303531    -1.41   0.158    -1.114288    .1812606
     _Istateicps_12 |  -.3060572   .1782066    -1.72   0.086    -.6554945    .0433801
     _Istateicps_13 |  -1.192559     .18297    -6.52   0.000    -1.551337   -.8337818
     _Istateicps_14 |  -1.228556   .1699969    -7.23   0.000    -1.561896    -.895217
     _Istateicps_21 |  -.1463928   .2790147    -0.52   0.600    -.6935001    .4007145
     _Istateicps_22 |  -.4952319   .2575098    -1.92   0.055    -1.000171    .0097074
     _Istateicps_23 |  -.7287769   .2336403    -3.12   0.002    -1.186912   -.2706422
     _Istateicps_24 |   -.783518   .2277139    -3.44   0.001    -1.230032   -.3370041
     _Istateicps_25 |  -.4741922   .2480842    -1.91   0.056    -.9606493    .0122649
     _Istateicps_31 |   .1052436   .2393635     0.44   0.660    -.3641134    .5746006
     _Istateicps_32 |   .1390679   .3272435     0.42   0.671    -.5026091    .7807449
     _Istateicps_33 |  -.1355648   .3056562    -0.44   0.657    -.7349122    .4637826
     _Istateicps_34 |  -.6798796   .2567725    -2.65   0.008    -1.183373   -.1763861
     _Istateicps_35 |   .1964838   .3154873     0.62   0.533     -.422141    .8151086
     _Istateicps_36 |   1.293188   .2651291     4.88   0.000      .773308    1.813067
     _Istateicps_37 |   .5669971   .2959807     1.92   0.056     -.013378    1.147372
     _Istateicps_40 |     -1.111    .201094    -5.52   0.000    -1.505316   -.7166836
     _Istateicps_41 |  -.5235656   .1962202    -2.67   0.008    -.9083249   -.1388063
     _Istateicps_42 |  -1.050871    .232724    -4.52   0.000    -1.507209   -.5945335
     _Istateicps_43 |  -1.032424   .2745772    -3.76   0.000     -1.57083   -.4940177
     _Istateicps_44 |  -.4618457   .2107905    -2.19   0.029    -.8751752   -.0485162
     _Istateicps_45 |  -.5779124   .2980045    -1.94   0.053    -1.162256    .0064312
     _Istateicps_46 |  -1.203105   .2525089    -4.76   0.000    -1.698238   -.7079718
     _Istateicps_47 |  -.6669029   .2554625    -2.61   0.009    -1.167828    -.165978
     _Istateicps_48 |  -.7038423   .2521985    -2.79   0.005    -1.198367   -.2093176
     _Istateicps_49 |   .0050369   .3080483     0.02   0.987    -.5990012    .6090749
     _Istateicps_51 |  -1.015034   .3699399    -2.74   0.006    -1.740433    -.289636
     _Istateicps_52 |  -.3501695   .1997697    -1.75   0.080    -.7418889    .0415499
     _Istateicps_53 |  -.5135101   .2664219    -1.93   0.054    -1.035925    .0089046
     _Istateicps_54 |  -1.062586   .2228914    -4.77   0.000    -1.499643   -.6255281
     _Istateicps_56 |  -1.565482   .2345722    -6.67   0.000    -2.025444    -1.10552
     _Istateicps_61 |  -.2458352   .4023902    -0.61   0.541    -1.034864    .5431936
     _Istateicps_62 |  -.4130823   .3018019    -1.37   0.171    -1.004872    .1787075
     _Istateicps_63 |  -.2160109   .3152725    -0.69   0.493    -.8342145    .4021926
     _Istateicps_64 |   .1740889   .4457155     0.39   0.696    -.6998944    1.048072
     _Istateicps_65 |  -.5329463   .4472201    -1.19   0.233     -1.40988    .3439874
     _Istateicps_66 |  -.1408926   .4174832    -0.34   0.736    -.9595166    .6777314
     _Istateicps_67 |  -.4462193   .2789128    -1.60   0.110    -.9931269    .1006883
     _Istateicps_68 |   .4949268   .3394523     1.46   0.145    -.1706899    1.160544
     _Istateicps_71 |   .3792532   .2358512     1.61   0.108    -.0832169    .8417232
     _Istateicps_72 |  -.4569793   .3044397    -1.50   0.133    -1.053941    .1399828
     _Istateicps_73 |  -.3139624   .3595877    -0.87   0.383    -1.019062    .3911368
     _Istateicps_98 |          0  (omitted)
              _cons |   6.374764   1.506226     4.23   0.000     3.421274    9.328254
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   329) =    11.77
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   329) =    11.77
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   329)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   329)
iAGRI_PF     |      11.77    0.0000 |       24.18   0.0000 |       11.77

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=13.43    P-val=0.0012

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      92.19
Kleibergen-Paap Wald rk F statistic                                11.77

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,329)=      12.60     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     25.90     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        330
Number of observations               N  =       2730
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    330                Number of obs =     2730
                                                      F( 64,   329) =   113.88
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1200.276493                Centered R2   =   0.6661
Total (uncentered) SS   =  59772.64246                Uncentered R2 =   0.9933
Residual SS             =  400.7250236                Root MSE      =    .3831

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3311684   .0680209     4.87   0.000     .1978498    .4644869
         ww1_vol_sh |  -.0001296   .0427771    -0.00   0.998    -.0839712    .0837119
ww1_awards_pop10_is |   .1928383   .0880483     2.19   0.029     .0202667    .3654098
             lpop30 |  -.0351643   .0210169    -1.67   0.094    -.0763567    .0060281
           c30unemp |  -.0510469   .2653533    -0.19   0.847    -.5711298     .469036
          c30urban1 |   .0208828   .0240797     0.87   0.386    -.0263125    .0680782
            c30farm |  -.5414358   .1325231    -4.09   0.000    -.8011764   -.2816953
            iYf_T29 |   .0264352   .0332207     0.80   0.426    -.0386762    .0915466
           MEAN9628 |   .0002917   .0013534     0.22   0.829    -.0023609    .0029443
             c30men |  -1.280125   .8396398    -1.52   0.127    -2.925788    .3655392
           c30black |   -.227205   .1148422    -1.98   0.048    -.4522916   -.0021184
             c30jap |   2.129501   1.859225     1.15   0.252    -1.514513    5.773516
             c30deu |   .5138239   .2355408     2.18   0.029     .0521724    .9754755
             c30ita |   .5492964   .5548371     0.99   0.322    -.5381644    1.636757
             c30vet |   .5118809   .3879141     1.32   0.187    -.2484166    1.272179
           lc40wage |   .5123525   .0648434     7.90   0.000     .3852618    .6394432
      iwarconpro_PC |   .2710749   .0254103    10.67   0.000     .2212716    .3208782
      _Istateicps_2 |   .2543525   .1957621     1.30   0.194    -.1293341    .6380392
      _Istateicps_3 |  -.1379148   .0917287    -1.50   0.133    -.3176997      .04187
      _Istateicps_4 |   .2618328   .1244981     2.10   0.035     .0178211    .5058446
      _Istateicps_5 |  -.2941411   .0583191    -5.04   0.000    -.4084444   -.1798377
      _Istateicps_6 |   .2365887   .1505454     1.57   0.116     -.058475    .5316523
     _Istateicps_11 |   .4196014    .146873     2.86   0.004     .1317357    .7074672
     _Istateicps_12 |  -.0394124   .0795739    -0.50   0.620    -.1953745    .1165496
     _Istateicps_13 |   .2394213   .0989326     2.42   0.016     .0455169    .4333256
     _Istateicps_14 |   .3337531   .1028664     3.24   0.001     .1321386    .5353677
     _Istateicps_21 |   .0377686   .0984513     0.38   0.701    -.1551924    .2307296
     _Istateicps_22 |   .0271016   .0860285     0.32   0.753    -.1415112    .1957145
     _Istateicps_23 |   .0774205   .0858245     0.90   0.367    -.0907924    .2456334
     _Istateicps_24 |   .0599625   .0805863     0.74   0.457    -.0979838    .2179088
     _Istateicps_25 |   .0431879   .0984274     0.44   0.661    -.1497263    .2361022
     _Istateicps_31 |   .4024326   .1093357     3.68   0.000     .1881387    .6167266
     _Istateicps_32 |    .159247   .1113007     1.43   0.152    -.0588985    .3773924
     _Istateicps_33 |   .2882784    .108107     2.67   0.008     .0763926    .5001642
     _Istateicps_34 |   .0969547   .0844247     1.15   0.251    -.0685146     .262424
     _Istateicps_35 |   .3292164   .1145451     2.87   0.004     .1047122    .5537206
     _Istateicps_36 |   .2187159   .2046037     1.07   0.285       -.1823    .6197318
     _Istateicps_37 |   .1462731   .1473611     0.99   0.321    -.1425494    .4350955
     _Istateicps_40 |   .2923057   .1326269     2.20   0.028     .0323617    .5522498
     _Istateicps_41 |   .1675749   .1042293     1.61   0.108    -.0367107    .3718605
     _Istateicps_42 |  -.2095204   .1079997    -1.94   0.052     -.421196    .0021551
     _Istateicps_43 |   .1348822   .1178079     1.14   0.252    -.0960171    .3657815
     _Istateicps_44 |  -.0471036   .0989736    -0.48   0.634    -.2410882    .1468811
     _Istateicps_45 |  -.1309724     .10277    -1.27   0.203    -.3323979    .0704531
     _Istateicps_46 |   .1807553   .1253189     1.44   0.149    -.0648652    .4263758
     _Istateicps_47 |   .0629481   .1233253     0.51   0.610     -.178765    .3046611
     _Istateicps_48 |  -.2665724   .1203277    -2.22   0.027    -.5024103   -.0307345
     _Istateicps_49 |   .0493315   .1025438     0.48   0.630    -.1516507    .2503136
     _Istateicps_51 |  -.1036648   .0981624    -1.06   0.291    -.2960596      .08873
     _Istateicps_52 |   .0645406   .1147153     0.56   0.574    -.1602973    .2893785
     _Istateicps_53 |   .0635578   .0950333     0.67   0.504    -.1227042    .2498197
     _Istateicps_54 |   .0351465   .1066353     0.33   0.742    -.1738548    .2441478
     _Istateicps_56 |   .2250257   .1438004     1.56   0.118    -.0568179    .5068693
     _Istateicps_61 |   .0554667   .1271275     0.44   0.663    -.1936986    .3046321
     _Istateicps_62 |   .0418167   .0953177     0.44   0.661    -.1450025    .2286359
     _Istateicps_63 |   .1165261   .1181218     0.99   0.324    -.1149885    .3480406
     _Istateicps_64 |   .3783491   .1205575     3.14   0.002     .1420606    .6146375
     _Istateicps_65 |    .294187   .1230006     2.39   0.017     .0531102    .5352638
     _Istateicps_66 |   -.243378   .1456495    -1.67   0.095    -.5288458    .0420898
     _Istateicps_67 |  -.0609814   .0915905    -0.67   0.506    -.2404956    .1185327
     _Istateicps_68 |   .1226258   .1429538     0.86   0.391    -.1575585    .4028101
     _Istateicps_71 |   .1399454   .1144047     1.22   0.221    -.0842838    .3641746
     _Istateicps_72 |   .5071501   .0949238     5.34   0.000      .321103    .6931972
     _Istateicps_73 |   .4262388   .1279796     3.33   0.001     .1754034    .6770741
     _Istateicps_98 |          0  (omitted)
              _cons |   .0789793   .7996494     0.10   0.921    -1.488305    1.646263
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             13.425
                                                   Chi-sq(2) P-val =    0.0012
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               92.187
                         (Kleibergen-Paap rk Wald F statistic):         11.769
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est5 stored)

added macro:
            e(RA_test) : "0.000"

added macro:
       e(y_mean_round) : "4.632"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2143
Number of clusters (CLIMDIVX) =    259
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2580617   .0613603     4.21   0.000     .1377279    .3783955
          iAGRI_T73 |   .2042771   .1063337     1.92   0.055    -.0042541    .4128084
         ww1_vol_sh |   .1074355   .1011055     1.06   0.288    -.0908427    .3057137
ww1_awards_pop10_is |   .1772546   .1854787     0.96   0.339    -.1864881    .5409973
             lpop30 |    -.18042   .0490828    -3.68   0.000    -.2766765   -.0841636
           c30unemp |  -.8179834   .6570173    -1.24   0.213    -2.106461    .4704945
          c30urban1 |   .1724309   .0480603     3.59   0.000     .0781798     .266682
            c30farm |   .2786907   .3215916     0.87   0.386    -.3519831    .9093645
            iYf_T29 |   .3556006   .0865299     4.11   0.000     .1859066    .5252946
           MEAN9628 |   .0100017   .0031692     3.16   0.002     .0037866    .0162168
             c30men |  -1.365097   1.957002    -0.70   0.486    -5.202978    2.472784
           c30black |  -.2115362   .2663763    -0.79   0.427    -.7339272    .3108547
             c30jap |  -7.585888   5.815069    -1.30   0.192    -18.98983    3.818055
             c30deu |   .4401031   .9926587     0.44   0.658    -1.506602    2.386808
             c30ita |   -1.45648   1.098124    -1.33   0.185    -3.610013     .697052
             c30vet |   .9876241   .9799113     1.01   0.314    -.9340817     2.90933
           lc40wage |   .1093853   .1697266     0.64   0.519    -.2234658    .4422364
      iwarconpro_PC |  -.0097359   .0331129    -0.29   0.769    -.0746736    .0552019
      _Istateicps_2 |  -1.407602   .3458267    -4.07   0.000    -2.085803   -.7294001
      _Istateicps_3 |   -.078912   .1294957    -0.61   0.542    -.3328663    .1750423
      _Istateicps_4 |  -1.333968   .1794783    -7.43   0.000    -1.685943   -.9819923
      _Istateicps_5 |  -.3487789   .1142501    -3.05   0.002     -.572835   -.1247227
      _Istateicps_6 |  -.9941737    .205965    -4.83   0.000    -1.398092   -.5902553
     _Istateicps_11 |  -.4305284   .3286855    -1.31   0.190    -1.075114    .2140573
     _Istateicps_12 |  -.3356027   .1881297    -1.78   0.075    -.7045442    .0333389
     _Istateicps_13 |  -1.160042    .186485    -6.22   0.000    -1.525758   -.7943255
     _Istateicps_14 |  -1.203729   .1734456    -6.94   0.000    -1.543873   -.8635842
     _Istateicps_21 |  -.0981765   .2911838    -0.34   0.736    -.6692177    .4728646
     _Istateicps_22 |  -.4570208   .2669307    -1.71   0.087    -.9804991    .0664574
     _Istateicps_23 |  -.6727966    .248942    -2.70   0.007    -1.160997   -.1845961
     _Istateicps_24 |  -.7518802   .2364023    -3.18   0.001    -1.215489   -.2882712
     _Istateicps_25 |  -.4089972   .2879694    -1.42   0.156    -.9737346    .1557401
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.008516   .2092237    -4.82   0.000    -1.418825   -.5982075
     _Istateicps_41 |  -.4387855   .2078373    -2.11   0.035    -.8463757   -.0311954
     _Istateicps_42 |  -.9901265   .2419897    -4.09   0.000    -1.464693   -.5155601
     _Istateicps_43 |  -.9971534   .2696123    -3.70   0.000    -1.525891   -.4684162
     _Istateicps_44 |   -.372951   .2202534    -1.69   0.091    -.8048904    .0589885
     _Istateicps_45 |  -.5183309   .3070123    -1.69   0.092    -1.120413    .0837515
     _Istateicps_46 |  -1.119213   .2610725    -4.29   0.000    -1.631202    -.607223
     _Istateicps_47 |  -.5861943   .2581776    -2.27   0.023    -1.092507   -.0798818
     _Istateicps_48 |  -.6149211   .2559099    -2.40   0.016    -1.116786   -.1130558
     _Istateicps_49 |   .1189056   .3291251     0.36   0.718    -.5265422    .7643533
     _Istateicps_51 |  -.9445289   .3688141    -2.56   0.011    -1.667811   -.2212468
     _Istateicps_52 |  -.3035454    .205775    -1.48   0.140    -.7070912    .1000004
     _Istateicps_53 |  -.4466304   .2853868    -1.57   0.118    -1.006303    .1130422
     _Istateicps_54 |   -.969151   .2281247    -4.25   0.000    -1.416527   -.5217752
     _Istateicps_56 |  -1.486137   .2435779    -6.10   0.000    -1.963818   -1.008456
     _Istateicps_61 |  -.1585194   .4016914    -0.39   0.693    -.9462772    .6292384
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1548929   .3385991    -0.46   0.647    -.8189203    .5091345
     _Istateicps_64 |   .3086006   .4770792     0.65   0.518    -.6270004    1.244202
     _Istateicps_65 |  -.4412987   .4776704    -0.92   0.356    -1.378059    .4954617
     _Istateicps_66 |  -.0187797    .434729    -0.04   0.966    -.8713276    .8337681
     _Istateicps_67 |  -.3798738   .2985234    -1.27   0.203    -.9653086    .2055609
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4857644   .2592582     1.87   0.061    -.0226673    .9941961
     _Istateicps_72 |   -.379692    .346338    -1.10   0.273    -1.058896    .2995121
     _Istateicps_73 |  -.2489999   .3765961    -0.66   0.509    -.9875432    .4895434
     _Istateicps_98 |          0  (omitted)
              _cons |    6.40439    1.73527     3.69   0.000     3.001348    9.807431
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   258)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   258)
iAGRI_PF     |       9.37    0.0001 |       19.32   0.0001 |        9.37

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=14.33    P-val=0.0008

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      66.23
Kleibergen-Paap Wald rk F statistic                                 9.37

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,258)=       4.17     P-val=0.0165
Anderson-Rubin Wald test           Chi-sq(2)=      8.60     P-val=0.0136
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        259
Number of observations               N  =       2143
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    259                Number of obs =     2143
                                                      F( 55,   258) =    72.14
                                                      Prob > F      =   0.0000
Total (centered) SS     =  228.2958921                Centered R2   =   0.5279
Total (uncentered) SS   =  1041.805259                Uncentered R2 =   0.8965
Residual SS             =  107.7770337                Root MSE      =    .2243

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1887014   .0531238     3.55   0.000     .0845807    .2928221
         ww1_vol_sh |   .0643946   .0334489     1.93   0.054    -.0011641    .1299533
ww1_awards_pop10_is |   .0970142   .1024648     0.95   0.344    -.1038131    .2978416
             lpop30 |   .0238374   .0169996     1.40   0.161    -.0094811     .057156
           c30unemp |   .5450006   .2625188     2.08   0.038     .0304733    1.059528
          c30urban1 |  -.0138327   .0160235    -0.86   0.388    -.0452381    .0175728
            c30farm |   -.160803   .0849581    -1.89   0.058    -.3273177    .0057118
            iYf_T29 |  -.0825202   .0271344    -3.04   0.002    -.1357026   -.0293379
           MEAN9628 |  -.0022952   .0010205    -2.25   0.025    -.0042953   -.0002951
             c30men |  -.7986984   .5616827    -1.42   0.155    -1.899576    .3021794
           c30black |   -.392325   .0635161    -6.18   0.000    -.5168143   -.2678357
             c30jap |   1.079377   1.583629     0.68   0.496    -2.024478    4.183232
             c30deu |   -.837363    .164854    -5.08   0.000    -1.160471    -.514255
             c30ita |   .0903966   .3131992     0.29   0.773    -.5234626    .7042557
             c30vet |   1.529722    .312499     4.90   0.000     .9172354    2.142209
           lc40wage |   .1559355   .0462016     3.38   0.001     .0653821    .2464889
      iwarconpro_PC |  -.0377827   .0105884    -3.57   0.000    -.0585355   -.0170299
      _Istateicps_2 |   .2318883   .1090325     2.13   0.033     .0181885    .4455881
      _Istateicps_3 |   .0349588   .0763869     0.46   0.647    -.1147567    .1846743
      _Istateicps_4 |   .4480138       .102     4.39   0.000     .2480975    .6479301
      _Istateicps_5 |   .0454687   .0688233     0.66   0.509    -.0894225    .1803598
      _Istateicps_6 |   .4780322   .0984467     4.86   0.000     .2850803    .6709842
     _Istateicps_11 |  -.0712962   .1132706    -0.63   0.529    -.2933026    .1507102
     _Istateicps_12 |  -.0451373    .094178    -0.48   0.632    -.2297228    .1394482
     _Istateicps_13 |   .1925493   .0939539     2.05   0.040     .0084031    .3766955
     _Istateicps_14 |  -.0202708   .0933497    -0.22   0.828    -.2032329    .1626912
     _Istateicps_21 |  -.0423076   .0818035    -0.52   0.605    -.2026394    .1180242
     _Istateicps_22 |  -.0856836   .0831976    -1.03   0.303    -.2487478    .0773806
     _Istateicps_23 |   .0042399    .093804     0.05   0.964    -.1796126    .1880923
     _Istateicps_24 |   -.038032    .078455    -0.48   0.628     -.191801    .1157371
     _Istateicps_25 |   .1806451   .0881892     2.05   0.041     .0077976    .3534927
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    .043276   .0940103     0.46   0.645    -.1409808    .2275329
     _Istateicps_41 |   .1727317   .0923216     1.87   0.061    -.0082153    .3536787
     _Istateicps_42 |  -.1533686   .0818118    -1.87   0.061    -.3137167    .0069795
     _Istateicps_43 |   .3979191   .1000017     3.98   0.000     .2019194    .5939188
     _Istateicps_44 |   .2498526   .0842092     2.97   0.003     .0848056    .4148995
     _Istateicps_45 |  -.1049584   .0974091    -1.08   0.281    -.2958767    .0859599
     _Istateicps_46 |   .2986559   .0955678     3.13   0.002     .1113464    .4859654
     _Istateicps_47 |   .0793809   .0966021     0.82   0.411    -.1099557    .2687175
     _Istateicps_48 |   .1293668   .0940936     1.37   0.169    -.0550533    .3137868
     _Istateicps_49 |   .4443416   .0922346     4.82   0.000     .2635651    .6251181
     _Istateicps_51 |   .1502526   .1209896     1.24   0.214    -.0868826    .3873878
     _Istateicps_52 |  -.2207119   .0868771    -2.54   0.011    -.3909878   -.0504359
     _Istateicps_53 |   .1316777   .0989008     1.33   0.183    -.0621644    .3255198
     _Istateicps_54 |   .0767292   .1023608     0.75   0.453    -.1238943    .2773526
     _Istateicps_56 |   .3270134    .115932     2.82   0.005     .0997909    .5542359
     _Istateicps_61 |  -.5555665   .1042097    -5.33   0.000    -.7598137   -.3513192
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1287722   .0954025    -1.35   0.177    -.3157576    .0582133
     _Istateicps_64 |   .0041101   .1181635     0.03   0.972    -.2274861    .2357064
     _Istateicps_65 |  -.1910605   .1148813    -1.66   0.096    -.4162236    .0341027
     _Istateicps_66 |  -.0023276   .0954215    -0.02   0.981    -.1893502    .1846951
     _Istateicps_67 |  -.2055165   .0890017    -2.31   0.021    -.3799566   -.0310765
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   -.155809   .1041005    -1.50   0.134    -.3598422    .0482241
     _Istateicps_72 |  -.1862051   .0910871    -2.04   0.041    -.3647326   -.0076776
     _Istateicps_73 |   .0524176   .0876408     0.60   0.550    -.1193552    .2241903
     _Istateicps_98 |          0  (omitted)
              _cons |   -1.17523   .5992322    -1.96   0.050    -2.349704   -.0007567
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             14.327
                                                   Chi-sq(2) P-val =    0.0008
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               66.233
                         (Kleibergen-Paap rk Wald F statistic):          9.372
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

added macro:
            e(RA_test) : "0.017"

added macro:
       e(y_mean_round) : "0.616"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2143
Number of clusters (CLIMDIVX) =    259
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2580617   .0613603     4.21   0.000     .1377279    .3783955
          iAGRI_T73 |   .2042771   .1063337     1.92   0.055    -.0042541    .4128084
         ww1_vol_sh |   .1074355   .1011055     1.06   0.288    -.0908427    .3057137
ww1_awards_pop10_is |   .1772546   .1854787     0.96   0.339    -.1864881    .5409973
             lpop30 |    -.18042   .0490828    -3.68   0.000    -.2766765   -.0841636
           c30unemp |  -.8179834   .6570173    -1.24   0.213    -2.106461    .4704945
          c30urban1 |   .1724309   .0480603     3.59   0.000     .0781798     .266682
            c30farm |   .2786907   .3215916     0.87   0.386    -.3519831    .9093645
            iYf_T29 |   .3556006   .0865299     4.11   0.000     .1859066    .5252946
           MEAN9628 |   .0100017   .0031692     3.16   0.002     .0037866    .0162168
             c30men |  -1.365097   1.957002    -0.70   0.486    -5.202978    2.472784
           c30black |  -.2115362   .2663763    -0.79   0.427    -.7339272    .3108547
             c30jap |  -7.585888   5.815069    -1.30   0.192    -18.98983    3.818055
             c30deu |   .4401031   .9926587     0.44   0.658    -1.506602    2.386808
             c30ita |   -1.45648   1.098124    -1.33   0.185    -3.610013     .697052
             c30vet |   .9876241   .9799113     1.01   0.314    -.9340817     2.90933
           lc40wage |   .1093853   .1697266     0.64   0.519    -.2234658    .4422364
      iwarconpro_PC |  -.0097359   .0331129    -0.29   0.769    -.0746736    .0552019
      _Istateicps_2 |  -1.407602   .3458267    -4.07   0.000    -2.085803   -.7294001
      _Istateicps_3 |   -.078912   .1294957    -0.61   0.542    -.3328663    .1750423
      _Istateicps_4 |  -1.333968   .1794783    -7.43   0.000    -1.685943   -.9819923
      _Istateicps_5 |  -.3487789   .1142501    -3.05   0.002     -.572835   -.1247227
      _Istateicps_6 |  -.9941737    .205965    -4.83   0.000    -1.398092   -.5902553
     _Istateicps_11 |  -.4305284   .3286855    -1.31   0.190    -1.075114    .2140573
     _Istateicps_12 |  -.3356027   .1881297    -1.78   0.075    -.7045442    .0333389
     _Istateicps_13 |  -1.160042    .186485    -6.22   0.000    -1.525758   -.7943255
     _Istateicps_14 |  -1.203729   .1734456    -6.94   0.000    -1.543873   -.8635842
     _Istateicps_21 |  -.0981765   .2911838    -0.34   0.736    -.6692177    .4728646
     _Istateicps_22 |  -.4570208   .2669307    -1.71   0.087    -.9804991    .0664574
     _Istateicps_23 |  -.6727966    .248942    -2.70   0.007    -1.160997   -.1845961
     _Istateicps_24 |  -.7518802   .2364023    -3.18   0.001    -1.215489   -.2882712
     _Istateicps_25 |  -.4089972   .2879694    -1.42   0.156    -.9737346    .1557401
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.008516   .2092237    -4.82   0.000    -1.418825   -.5982075
     _Istateicps_41 |  -.4387855   .2078373    -2.11   0.035    -.8463757   -.0311954
     _Istateicps_42 |  -.9901265   .2419897    -4.09   0.000    -1.464693   -.5155601
     _Istateicps_43 |  -.9971534   .2696123    -3.70   0.000    -1.525891   -.4684162
     _Istateicps_44 |   -.372951   .2202534    -1.69   0.091    -.8048904    .0589885
     _Istateicps_45 |  -.5183309   .3070123    -1.69   0.092    -1.120413    .0837515
     _Istateicps_46 |  -1.119213   .2610725    -4.29   0.000    -1.631202    -.607223
     _Istateicps_47 |  -.5861943   .2581776    -2.27   0.023    -1.092507   -.0798818
     _Istateicps_48 |  -.6149211   .2559099    -2.40   0.016    -1.116786   -.1130558
     _Istateicps_49 |   .1189056   .3291251     0.36   0.718    -.5265422    .7643533
     _Istateicps_51 |  -.9445289   .3688141    -2.56   0.011    -1.667811   -.2212468
     _Istateicps_52 |  -.3035454    .205775    -1.48   0.140    -.7070912    .1000004
     _Istateicps_53 |  -.4466304   .2853868    -1.57   0.118    -1.006303    .1130422
     _Istateicps_54 |   -.969151   .2281247    -4.25   0.000    -1.416527   -.5217752
     _Istateicps_56 |  -1.486137   .2435779    -6.10   0.000    -1.963818   -1.008456
     _Istateicps_61 |  -.1585194   .4016914    -0.39   0.693    -.9462772    .6292384
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1548929   .3385991    -0.46   0.647    -.8189203    .5091345
     _Istateicps_64 |   .3086006   .4770792     0.65   0.518    -.6270004    1.244202
     _Istateicps_65 |  -.4412987   .4776704    -0.92   0.356    -1.378059    .4954617
     _Istateicps_66 |  -.0187797    .434729    -0.04   0.966    -.8713276    .8337681
     _Istateicps_67 |  -.3798738   .2985234    -1.27   0.203    -.9653086    .2055609
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4857644   .2592582     1.87   0.061    -.0226673    .9941961
     _Istateicps_72 |   -.379692    .346338    -1.10   0.273    -1.058896    .2995121
     _Istateicps_73 |  -.2489999   .3765961    -0.66   0.509    -.9875432    .4895434
     _Istateicps_98 |          0  (omitted)
              _cons |    6.40439    1.73527     3.69   0.000     3.001348    9.807431
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   258)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   258)
iAGRI_PF     |       9.37    0.0001 |       19.32   0.0001 |        9.37

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=14.33    P-val=0.0008

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      66.23
Kleibergen-Paap Wald rk F statistic                                 9.37

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,258)=       6.34     P-val=0.0020
Anderson-Rubin Wald test           Chi-sq(2)=     13.08     P-val=0.0014
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        259
Number of observations               N  =       2143
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    259                Number of obs =     2143
                                                      F( 55,   258) =   489.53
                                                      Prob > F      =   0.0000
Total (centered) SS     =  25.58195163                Centered R2   =   0.1439
Total (uncentered) SS   =  64.88676336                Uncentered R2 =   0.6625
Residual SS             =   21.9007195                Root MSE      =    .1011

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0473846   .0138871     3.41   0.001     .0201665    .0746027
         ww1_vol_sh |   .0289542   .0119678     2.42   0.016     .0054978    .0524106
ww1_awards_pop10_is |   .0265866   .0317744     0.84   0.403      -.03569    .0888632
             lpop30 |   .0003499   .0049046     0.07   0.943    -.0092631    .0099628
           c30unemp |   .0658653    .074138     0.89   0.374    -.0794426    .2111731
          c30urban1 |  -.0022822   .0067979    -0.34   0.737    -.0156057    .0110414
            c30farm |  -.0009493   .0299729    -0.03   0.975    -.0596952    .0577965
            iYf_T29 |  -.0051704   .0087621    -0.59   0.555    -.0223438    .0120031
           MEAN9628 |  -.0002138   .0002909    -0.74   0.462    -.0007839    .0003563
             c30men |  -.2311153   .2373038    -0.97   0.330    -.6962222    .2339917
           c30black |  -.0569973   .0178807    -3.19   0.001    -.0920427   -.0219518
             c30jap |   2.313861   .5789802     4.00   0.000      1.17908    3.448641
             c30deu |  -.0929702    .073263    -1.27   0.204     -.236563    .0506227
             c30ita |    .146924   .1707871     0.86   0.390    -.1878125    .4816606
             c30vet |   .1813876   .1312205     1.38   0.167    -.0757998     .438575
           lc40wage |    .050306   .0170328     2.95   0.003     .0169224    .0836896
      iwarconpro_PC |   .0035964   .0042415     0.85   0.396    -.0047169    .0119096
      _Istateicps_2 |   .0400018   .0272276     1.47   0.142    -.0133633     .093367
      _Istateicps_3 |   .0033991   .0153723     0.22   0.825      -.02673    .0335282
      _Istateicps_4 |   .0354997   .0247722     1.43   0.152     -.013053    .0840523
      _Istateicps_5 |   .0817824   .0091768     8.91   0.000     .0637963    .0997685
      _Istateicps_6 |   .0339518   .0291837     1.16   0.245    -.0232472    .0911507
     _Istateicps_11 |  -.0209529   .0164097    -1.28   0.202    -.0531153    .0112096
     _Istateicps_12 |  -.0178621   .0119248    -1.50   0.134    -.0412342      .00551
     _Istateicps_13 |    .033524   .0211392     1.59   0.113     -.007908     .074956
     _Istateicps_14 |   .0152924     .02066     0.74   0.459    -.0252004    .0557852
     _Istateicps_21 |  -.0382484   .0256858    -1.49   0.136    -.0885916    .0120948
     _Istateicps_22 |  -.0499017   .0215177    -2.32   0.020    -.0920756   -.0077278
     _Istateicps_23 |   -.005363   .0233688    -0.23   0.818    -.0511651    .0404391
     _Istateicps_24 |   .0036209   .0188522     0.19   0.848    -.0333286    .0405705
     _Istateicps_25 |  -.0408456   .0260056    -1.57   0.116    -.0918155    .0101244
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0256709   .0256836     1.00   0.318     -.024668    .0760099
     _Istateicps_41 |  -.0050105   .0215103    -0.23   0.816    -.0471699    .0371488
     _Istateicps_42 |  -.0090537   .0207796    -0.44   0.663    -.0497809    .0316736
     _Istateicps_43 |   .0628855   .0297583     2.11   0.035     .0045602    .1212108
     _Istateicps_44 |  -.0088051   .0235983    -0.37   0.709    -.0550568    .0374467
     _Istateicps_45 |  -.0094642   .0257124    -0.37   0.713    -.0598595     .040931
     _Istateicps_46 |   .0428954   .0248963     1.72   0.085    -.0059004    .0916912
     _Istateicps_47 |  -.0079653   .0216491    -0.37   0.713    -.0503968    .0344662
     _Istateicps_48 |  -.0061492   .0225697    -0.27   0.785     -.050385    .0380865
     _Istateicps_49 |  -.0051865   .0268566    -0.19   0.847    -.0578245    .0474515
     _Istateicps_51 |   .0053193   .0233136     0.23   0.820    -.0403745     .051013
     _Istateicps_52 |  -.0051846   .0339169    -0.15   0.879    -.0716604    .0612913
     _Istateicps_53 |  -.0097269   .0236541    -0.41   0.681    -.0560881    .0366342
     _Istateicps_54 |   .0046287   .0220846     0.21   0.834    -.0386563    .0479137
     _Istateicps_56 |   .0396683   .0264181     1.50   0.133    -.0121103    .0914469
     _Istateicps_61 |   .0682064   .0411272     1.66   0.097    -.0124015    .1488143
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0096083   .0353268     0.27   0.786    -.0596309    .0788474
     _Istateicps_64 |   .0470798   .0530931     0.89   0.375    -.0569808    .1511404
     _Istateicps_65 |   .0195204   .0541454     0.36   0.718    -.0866027    .1256435
     _Istateicps_66 |  -.0208432   .0338401    -0.62   0.538    -.0871687    .0454822
     _Istateicps_67 |   .0238684   .0388373     0.61   0.539    -.0522512    .0999881
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   -.022638   .0329193    -0.69   0.492    -.0871586    .0418825
     _Istateicps_72 |   .0208678   .0372997     0.56   0.576    -.0522382    .0939738
     _Istateicps_73 |   .0257197   .0321404     0.80   0.424    -.0372744    .0887138
     _Istateicps_98 |          0  (omitted)
              _cons |  -.3724357   .1844043    -2.02   0.043    -.7338615   -.0110099
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             14.327
                                                   Chi-sq(2) P-val =    0.0008
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               66.233
                         (Kleibergen-Paap rk Wald F statistic):          9.372
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est7 stored)

added macro:
            e(RA_test) : "0.002"

added macro:
       e(y_mean_round) : "0.135"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2143
Number of clusters (CLIMDIVX) =    259
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2580617   .0613603     4.21   0.000     .1377279    .3783955
          iAGRI_T73 |   .2042771   .1063337     1.92   0.055    -.0042541    .4128084
         ww1_vol_sh |   .1074355   .1011055     1.06   0.288    -.0908427    .3057137
ww1_awards_pop10_is |   .1772546   .1854787     0.96   0.339    -.1864881    .5409973
             lpop30 |    -.18042   .0490828    -3.68   0.000    -.2766765   -.0841636
           c30unemp |  -.8179834   .6570173    -1.24   0.213    -2.106461    .4704945
          c30urban1 |   .1724309   .0480603     3.59   0.000     .0781798     .266682
            c30farm |   .2786907   .3215916     0.87   0.386    -.3519831    .9093645
            iYf_T29 |   .3556006   .0865299     4.11   0.000     .1859066    .5252946
           MEAN9628 |   .0100017   .0031692     3.16   0.002     .0037866    .0162168
             c30men |  -1.365097   1.957002    -0.70   0.486    -5.202978    2.472784
           c30black |  -.2115362   .2663763    -0.79   0.427    -.7339272    .3108547
             c30jap |  -7.585888   5.815069    -1.30   0.192    -18.98983    3.818055
             c30deu |   .4401031   .9926587     0.44   0.658    -1.506602    2.386808
             c30ita |   -1.45648   1.098124    -1.33   0.185    -3.610013     .697052
             c30vet |   .9876241   .9799113     1.01   0.314    -.9340817     2.90933
           lc40wage |   .1093853   .1697266     0.64   0.519    -.2234658    .4422364
      iwarconpro_PC |  -.0097359   .0331129    -0.29   0.769    -.0746736    .0552019
      _Istateicps_2 |  -1.407602   .3458267    -4.07   0.000    -2.085803   -.7294001
      _Istateicps_3 |   -.078912   .1294957    -0.61   0.542    -.3328663    .1750423
      _Istateicps_4 |  -1.333968   .1794783    -7.43   0.000    -1.685943   -.9819923
      _Istateicps_5 |  -.3487789   .1142501    -3.05   0.002     -.572835   -.1247227
      _Istateicps_6 |  -.9941737    .205965    -4.83   0.000    -1.398092   -.5902553
     _Istateicps_11 |  -.4305284   .3286855    -1.31   0.190    -1.075114    .2140573
     _Istateicps_12 |  -.3356027   .1881297    -1.78   0.075    -.7045442    .0333389
     _Istateicps_13 |  -1.160042    .186485    -6.22   0.000    -1.525758   -.7943255
     _Istateicps_14 |  -1.203729   .1734456    -6.94   0.000    -1.543873   -.8635842
     _Istateicps_21 |  -.0981765   .2911838    -0.34   0.736    -.6692177    .4728646
     _Istateicps_22 |  -.4570208   .2669307    -1.71   0.087    -.9804991    .0664574
     _Istateicps_23 |  -.6727966    .248942    -2.70   0.007    -1.160997   -.1845961
     _Istateicps_24 |  -.7518802   .2364023    -3.18   0.001    -1.215489   -.2882712
     _Istateicps_25 |  -.4089972   .2879694    -1.42   0.156    -.9737346    .1557401
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.008516   .2092237    -4.82   0.000    -1.418825   -.5982075
     _Istateicps_41 |  -.4387855   .2078373    -2.11   0.035    -.8463757   -.0311954
     _Istateicps_42 |  -.9901265   .2419897    -4.09   0.000    -1.464693   -.5155601
     _Istateicps_43 |  -.9971534   .2696123    -3.70   0.000    -1.525891   -.4684162
     _Istateicps_44 |   -.372951   .2202534    -1.69   0.091    -.8048904    .0589885
     _Istateicps_45 |  -.5183309   .3070123    -1.69   0.092    -1.120413    .0837515
     _Istateicps_46 |  -1.119213   .2610725    -4.29   0.000    -1.631202    -.607223
     _Istateicps_47 |  -.5861943   .2581776    -2.27   0.023    -1.092507   -.0798818
     _Istateicps_48 |  -.6149211   .2559099    -2.40   0.016    -1.116786   -.1130558
     _Istateicps_49 |   .1189056   .3291251     0.36   0.718    -.5265422    .7643533
     _Istateicps_51 |  -.9445289   .3688141    -2.56   0.011    -1.667811   -.2212468
     _Istateicps_52 |  -.3035454    .205775    -1.48   0.140    -.7070912    .1000004
     _Istateicps_53 |  -.4466304   .2853868    -1.57   0.118    -1.006303    .1130422
     _Istateicps_54 |   -.969151   .2281247    -4.25   0.000    -1.416527   -.5217752
     _Istateicps_56 |  -1.486137   .2435779    -6.10   0.000    -1.963818   -1.008456
     _Istateicps_61 |  -.1585194   .4016914    -0.39   0.693    -.9462772    .6292384
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1548929   .3385991    -0.46   0.647    -.8189203    .5091345
     _Istateicps_64 |   .3086006   .4770792     0.65   0.518    -.6270004    1.244202
     _Istateicps_65 |  -.4412987   .4776704    -0.92   0.356    -1.378059    .4954617
     _Istateicps_66 |  -.0187797    .434729    -0.04   0.966    -.8713276    .8337681
     _Istateicps_67 |  -.3798738   .2985234    -1.27   0.203    -.9653086    .2055609
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4857644   .2592582     1.87   0.061    -.0226673    .9941961
     _Istateicps_72 |   -.379692    .346338    -1.10   0.273    -1.058896    .2995121
     _Istateicps_73 |  -.2489999   .3765961    -0.66   0.509    -.9875432    .4895434
     _Istateicps_98 |          0  (omitted)
              _cons |    6.40439    1.73527     3.69   0.000     3.001348    9.807431
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   258) =     9.37
  Prob > F      =   0.0001



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   258)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   258)
iAGRI_PF     |       9.37    0.0001 |       19.32   0.0001 |        9.37

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=14.33    P-val=0.0008

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      66.23
Kleibergen-Paap Wald rk F statistic                                 9.37

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,258)=       9.38     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     19.33     P-val=0.0001
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        259
Number of observations               N  =       2143
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    259                Number of obs =     2143
                                                      F( 55,   258) =   169.73
                                                      Prob > F      =   0.0000
Total (centered) SS     =  2972.775743                Centered R2   =   0.5671
Total (uncentered) SS   =  2987.490885                Uncentered R2 =   0.5692
Residual SS             =  1286.972338                Root MSE      =    .7749

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8072702   .1333264     6.05   0.000     .5459553    1.068585
         ww1_vol_sh |   .2368918   .1173618     2.02   0.044     .0068668    .4669168
ww1_awards_pop10_is |   .4653149   .2772966     1.68   0.093    -.0781763    1.008806
             lpop30 |   .0009527   .0468325     0.02   0.984    -.0908373    .0927427
           c30unemp |   1.260241   .7949426     1.59   0.113    -.2978175      2.8183
          c30urban1 |   .0119618   .0581997     0.21   0.837    -.1021075    .1260312
            c30farm |   -.771097   .3283653    -2.35   0.019    -1.414681   -.1275128
            iYf_T29 |  -.1577107    .086298    -1.83   0.068    -.3268516    .0114302
           MEAN9628 |  -.0038706   .0032514    -1.19   0.234    -.0102433    .0025021
             c30men |  -4.291633   1.912346    -2.24   0.025    -8.039762   -.5435035
           c30black |  -1.088032    .217613    -5.00   0.000    -1.514546   -.6615189
             c30jap |   15.20624   4.969399     3.06   0.002     5.466396    24.94608
             c30deu |  -1.035536    .558138    -1.86   0.064    -2.129466    .0583949
             c30ita |   1.075557   1.333043     0.81   0.420    -1.537158    3.688273
             c30vet |     3.6325   1.164405     3.12   0.002     1.350309    5.914692
           lc40wage |   .9762858    .148889     6.56   0.000     .6844688    1.268103
      iwarconpro_PC |   .2139157   .0410973     5.21   0.000     .1333665    .2944648
      _Istateicps_2 |   .7905779   .3148461     2.51   0.012     .1734908    1.407665
      _Istateicps_3 |  -.0306047   .2100833    -0.15   0.884    -.4423604     .381151
      _Istateicps_4 |   1.132906   .2662702     4.25   0.000     .6110259    1.654786
      _Istateicps_5 |   .1708608   .1662052     1.03   0.304    -.1548955    .4966171
      _Istateicps_6 |   1.190924   .3262935     3.65   0.000     .5514002    1.830447
     _Istateicps_11 |   .1724201   .3319114     0.52   0.603    -.4781142    .8229545
     _Istateicps_12 |  -.1627195   .1916984    -0.85   0.396    -.5384416    .2130025
     _Istateicps_13 |    .685319   .2482796     2.76   0.006        .1987    1.171938
     _Istateicps_14 |   .3343551    .236508     1.41   0.157     -.129192    .7979023
     _Istateicps_21 |  -.1897234   .2468919    -0.77   0.442    -.6736226    .2941759
     _Istateicps_22 |  -.3259454   .2363604    -1.38   0.168    -.7892033    .1373125
     _Istateicps_23 |   .0669459   .2675272     0.25   0.802    -.4573978    .5912896
     _Istateicps_24 |   .0004326   .2146569     0.00   0.998    -.4202872    .4211523
     _Istateicps_25 |   .1668142   .2520093     0.66   0.508    -.3271149    .6607433
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4657241   .2750304     1.69   0.090    -.0733255    1.004774
     _Istateicps_41 |   .4491395   .2442039     1.84   0.066    -.0294913    .9277702
     _Istateicps_42 |  -.4385214   .2320913    -1.89   0.059     -.893412    .0163691
     _Istateicps_43 |   1.081956   .2769574     3.91   0.000     .5391291    1.624782
     _Istateicps_44 |   .3697422   .2463261     1.50   0.133    -.1130481    .8525324
     _Istateicps_45 |  -.3057897   .2839515    -1.08   0.282    -.8623245    .2507451
     _Istateicps_46 |   .8669076   .2764168     3.14   0.002     .3251407    1.408675
     _Istateicps_47 |   .1867353   .2960943     0.63   0.528    -.3935987    .7670694
     _Istateicps_48 |  -.0413463   .2539907    -0.16   0.871    -.5391589    .4564663
     _Istateicps_49 |   .7849866   .2754758     2.85   0.004      .245064    1.324909
     _Istateicps_51 |   .2309816   .2854039     0.81   0.418    -.3283997    .7903629
     _Istateicps_52 |  -.3070302   .3033065    -1.01   0.311       -.9015    .2874396
     _Istateicps_53 |   .2734111   .2589903     1.06   0.291    -.2342007    .7810228
     _Istateicps_54 |   .2223125   .2544195     0.87   0.382    -.2763406    .7209655
     _Istateicps_56 |   .9432359   .3208081     2.94   0.003     .3144636    1.572008
     _Istateicps_61 |   -.580722   .3458396    -1.68   0.093    -1.258555    .0971112
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0300866   .2988033    -0.10   0.920    -.6157303    .5555571
     _Istateicps_64 |   .5651223   .3698688     1.53   0.127    -.1598073    1.290052
     _Istateicps_65 |   .0666152   .3335946     0.20   0.842    -.5872183    .7204487
     _Istateicps_66 |  -.2929639   .2849676    -1.03   0.304      -.85149    .2655623
     _Istateicps_67 |  -.2785611   .2903497    -0.96   0.337    -.8476361    .2905139
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   -.211142   .2902309    -0.73   0.467     -.779984    .3577001
     _Istateicps_72 |   .2404162   .3147544     0.76   0.445    -.3764911    .8573235
     _Istateicps_73 |   .6081153   .2602942     2.34   0.019      .097948    1.118283
     _Istateicps_98 |          0  (omitted)
              _cons |  -8.947428   1.798998    -4.97   0.000     -12.4734   -5.421458
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             14.327
                                                   Chi-sq(2) P-val =    0.0008
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               66.233
                         (Kleibergen-Paap rk Wald F statistic):          9.372
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est8 stored)

added macro:
            e(RA_test) : "0.000"

added macro:
       e(y_mean_round) : "-0.083"
(output written to results/tables/AppTab15_robust-migration.tex)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,533
                                                F(64, 2468)       =      88.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6734
                                                Root MSE          =     .39983

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1310058   .0150033     8.73   0.000     .1015854    .1604261
         ww1_vol_sh |   .0179435   .0410386     0.44   0.662    -.0625301    .0984171
ww1_awards_pop10_is |   .2084493   .0875967     2.38   0.017     .0366787    .3802198
             lpop30 |  -.0160309   .0276024    -0.58   0.561    -.0701572    .0380954
           c30unemp |  -.4659866   .2872888    -1.62   0.105    -1.029339    .0973653
          c30urban1 |    .049778   .0273441     1.82   0.069    -.0038418    .1033978
            c30farm |  -.5768277   .1335708    -4.32   0.000    -.8387501   -.3149054
            iYf_T29 |   .0745357   .0212375     3.51   0.000     .0328905     .116181
           MEAN9628 |   .0025062   .0009967     2.51   0.012     .0005516    .0044607
             c30men |  -1.086503   .8202048    -1.32   0.185    -2.694863    .5218578
           c30black |  -.2468966   .0927445    -2.66   0.008    -.4287617   -.0650316
             c30jap |   4.921476   2.038616     2.41   0.016     .9239015     8.91905
             c30deu |   .7934828   .2326307     3.41   0.001     .3373112    1.249654
             c30ita |  -.3885664   .6034188    -0.64   0.520    -1.571826    .7946931
             c30vet |  -.4111406   1.161216    -0.35   0.723    -2.688199    1.865918
           lc40wage |   .4724588   .0625728     7.55   0.000     .3497582    .5951593
      iwarconpro_PC |   .2955715   .0219185    13.49   0.000     .2525909    .3385521
      _Istateicps_2 |  -.0277358   .1438855    -0.19   0.847    -.3098846    .2544131
      _Istateicps_3 |  -.1640699   .1352361    -1.21   0.225    -.4292578    .1011181
      _Istateicps_4 |   .0185933   .1792785     0.10   0.917    -.3329585     .370145
      _Istateicps_5 |  -.2808038   .3846121    -0.73   0.465    -1.034999     .473392
      _Istateicps_6 |   .0826492   .1326951     0.62   0.533    -.1775561    .3428545
     _Istateicps_11 |    .282618   .1616629     1.75   0.081     -.034391     .599627
     _Istateicps_12 |  -.0803191   .1270478    -0.63   0.527    -.3294504    .1688123
     _Istateicps_13 |   .0671635   .1093627     0.61   0.539    -.1472886    .2816156
     _Istateicps_14 |   .1073583    .114669     0.94   0.349    -.1174992    .3322157
     _Istateicps_21 |   .1656899   .1174204     1.41   0.158    -.0645627    .3959425
     _Istateicps_22 |   .0895557   .1173718     0.76   0.446    -.1406016    .3197131
     _Istateicps_23 |   .0662127   .1186749     0.56   0.577    -.1664999    .2989254
     _Istateicps_24 |   .0152675   .1156738     0.13   0.895    -.2115602    .2420952
     _Istateicps_25 |   .0947549   .1263585     0.75   0.453    -.1530247    .3425345
     _Istateicps_31 |    .637388   .1350823     4.72   0.000     .3725016    .9022744
     _Istateicps_32 |    .466662   .1680928     2.78   0.006     .1370446    .7962795
     _Istateicps_33 |   .5080653    .128933     3.94   0.000     .2552372    .7608934
     _Istateicps_34 |   .0976801   .1190904     0.82   0.412    -.1358473    .3312076
     _Istateicps_35 |   .8462384   .1469096     5.76   0.000     .5581597    1.134317
     _Istateicps_36 |   .7787718   .1601243     4.86   0.000     .4647799    1.092764
     _Istateicps_37 |   .4815526   .1309829     3.68   0.000     .2247049    .7384003
     _Istateicps_40 |   .1141327   .1285928     0.89   0.375    -.1380283    .3662937
     _Istateicps_41 |   .0449273   .1260775     0.36   0.722    -.2023014     .292156
     _Istateicps_42 |  -.2807446   .1344842    -2.09   0.037    -.5444582    -.017031
     _Istateicps_43 |   .0281718   .1428154     0.20   0.844    -.2518787    .3082222
     _Istateicps_44 |  -.1192019   .1291202    -0.92   0.356     -.372397    .1339931
     _Istateicps_45 |  -.2085683    .133126    -1.57   0.117    -.4696185    .0524819
     _Istateicps_46 |   .0032772   .1350976     0.02   0.981    -.2616392    .2681937
     _Istateicps_47 |  -.0393609   .1258134    -0.31   0.754    -.2860716    .2073497
     _Istateicps_48 |  -.3427319   .1455422    -2.35   0.019    -.6281292   -.0573345
     _Istateicps_49 |   .1263525   .1351872     0.93   0.350    -.1387395    .3914446
     _Istateicps_51 |  -.1982665   .1210726    -1.64   0.102    -.4356808    .0391479
     _Istateicps_52 |  -.0504788   .1490282    -0.34   0.735     -.342712    .2417543
     _Istateicps_53 |  -.0446224   .1704588    -0.26   0.794    -.3788795    .2896348
     _Istateicps_54 |  -.0805114    .122614    -0.66   0.511    -.3209483    .1599255
     _Istateicps_56 |   -.029109   .1220552    -0.24   0.812    -.2684501    .2102321
     _Istateicps_61 |   .1299419   .1572857     0.83   0.409    -.1784836    .4383675
     _Istateicps_62 |   .1045651   .1406279     0.74   0.457    -.1711957    .3803259
     _Istateicps_63 |    .277603   .1547429     1.79   0.073    -.0258363    .5810423
     _Istateicps_64 |   .7542844   .1502071     5.02   0.000     .4597395    1.048829
     _Istateicps_65 |   .2517431   .1947319     1.29   0.196    -.1301117     .633598
     _Istateicps_66 |  -.1447673   .1657268    -0.87   0.382    -.4697452    .1802105
     _Istateicps_67 |   .0154075   .1406309     0.11   0.913    -.2603593    .2911743
     _Istateicps_68 |   .5096049   .1747352     2.92   0.004     .1669622    .8522476
     _Istateicps_71 |    .220381   .1368703     1.61   0.107    -.0480115    .4887734
     _Istateicps_72 |   .6565229   .1418727     4.63   0.000      .378321    .9347247
     _Istateicps_73 |   .5224996   .1662149     3.14   0.002     .1965646    .8484347
     _Istateicps_98 |          0  (omitted)
              _cons |   1.185305   .6085993     1.95   0.052    -.0081128    2.378723
-------------------------------------------------------------------------------------
(est1 stored)

added macro:
       e(y_mean_round) : "4.596"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,112
                                                F(55, 2056)       =      66.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5826
                                                Root MSE          =     .19917

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0289333   .0079178     3.65   0.000     .0134057     .044461
         ww1_vol_sh |   .1379999   .0265007     5.21   0.000     .0860288     .189971
ww1_awards_pop10_is |   .0606027   .0917452     0.66   0.509    -.1193205    .2405258
             lpop30 |  -.0111543   .0111805    -1.00   0.319    -.0330806     .010772
           c30unemp |   .4541926   .2008162     2.26   0.024     .0603683    .8480169
          c30urban1 |  -.0017979   .0126772    -0.14   0.887    -.0266594    .0230637
            c30farm |  -.1310073    .054689    -2.40   0.017    -.2382589   -.0237558
            iYf_T29 |  -.0193183   .0115965    -1.67   0.096    -.0420605    .0034238
           MEAN9628 |  -.0012023   .0005553    -2.17   0.030    -.0022913   -.0001134
             c30men |  -1.186941   .4909499    -2.42   0.016    -2.149752   -.2241295
           c30black |  -.3920196   .0393811    -9.95   0.000    -.4692506   -.3147886
             c30jap |   .7168847    1.19615     0.60   0.549    -1.628908    3.062678
             c30deu |  -.4705107   .1641238    -2.87   0.004    -.7923768   -.1486445
             c30ita |  -.2269196   .2331438    -0.97   0.331    -.6841422     .230303
             c30vet |   .7939309   .3123097     2.54   0.011     .1814546    1.406407
           lc40wage |   .1850493   .0339095     5.46   0.000     .1185488    .2515498
      iwarconpro_PC |  -.0364875   .0077416    -4.71   0.000    -.0516697   -.0213053
      _Istateicps_2 |  -.0003872   .0570742    -0.01   0.995    -.1123163     .111542
      _Istateicps_3 |   .0402502   .0553382     0.73   0.467    -.0682746     .148775
      _Istateicps_4 |   .2332251    .077942     2.99   0.003     .0803715    .3860787
      _Istateicps_5 |   .0021018   .0565401     0.04   0.970    -.1087801    .1129837
      _Istateicps_6 |   .2917212   .0774046     3.77   0.000     .1399217    .4435208
     _Istateicps_11 |  -.1798368   .0613611    -2.93   0.003    -.3001733   -.0595003
     _Istateicps_12 |  -.1028963   .0514141    -2.00   0.045    -.2037254   -.0020672
     _Istateicps_13 |   .0423393   .0509733     0.83   0.406    -.0576253     .142304
     _Istateicps_14 |  -.2007989   .0494776    -4.06   0.000    -.2978304   -.1037674
     _Istateicps_21 |   .0256822   .0539409     0.48   0.634    -.0801023    .1314668
     _Istateicps_22 |  -.0668905   .0529585    -1.26   0.207    -.1707485    .0369674
     _Istateicps_23 |  -.0341357   .0596792    -0.57   0.567    -.1511737    .0829023
     _Istateicps_24 |  -.0913223   .0526706    -1.73   0.083    -.1946155    .0119709
     _Istateicps_25 |   .1624033   .0644066     2.52   0.012     .0360943    .2887123
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   -.131561   .0540896    -2.43   0.015    -.2376372   -.0254849
     _Istateicps_41 |   .1097314   .0567122     1.93   0.053    -.0014879    .2209508
     _Istateicps_42 |   -.209927   .0544307    -3.86   0.000    -.3166721    -.103182
     _Istateicps_43 |   .2256795   .0615687     3.67   0.000     .1049359    .3464231
     _Istateicps_44 |   .1850146   .0550871     3.36   0.001     .0769823    .2930469
     _Istateicps_45 |  -.1538909   .0550026    -2.80   0.005    -.2617574   -.0460243
     _Istateicps_46 |   .1690856   .0586593     2.88   0.004     .0540478    .2841234
     _Istateicps_47 |   .0036997   .0533437     0.07   0.945    -.1009136     .108313
     _Istateicps_48 |   .1108574   .0597163     1.86   0.064    -.0062533    .2279681
     _Istateicps_49 |   .5245496   .0656748     7.99   0.000     .3957536    .6533457
     _Istateicps_51 |   .0670948   .0540575     1.24   0.215    -.0389183    .1731079
     _Istateicps_52 |  -.2902725   .0548695    -5.29   0.000    -.3978782   -.1826668
     _Istateicps_53 |   .1755263    .062692     2.80   0.005     .0525797    .2984728
     _Istateicps_54 |   -.012277   .0551985    -0.22   0.824    -.1205278    .0959738
     _Istateicps_56 |   .1179466   .0590202     2.00   0.046      .002201    .2336923
     _Istateicps_61 |  -.4475032   .0627685    -7.13   0.000    -.5705997   -.3244067
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0310486   .0634029    -0.49   0.624    -.1553891     .093292
     _Istateicps_64 |   .2115937   .0672227     3.15   0.002      .079762    .3434254
     _Istateicps_65 |  -.1262567   .0893408    -1.41   0.158    -.3014645    .0489511
     _Istateicps_66 |   .0900017   .0750083     1.20   0.230    -.0570985    .2371018
     _Istateicps_67 |  -.1846112   .0629809    -2.93   0.003    -.3081242   -.0610982
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0303634   .0677037     0.45   0.654    -.1024116    .1631384
     _Istateicps_72 |  -.1393999   .0650052    -2.14   0.032    -.2668828    -.011917
     _Istateicps_73 |   .0685923   .0650078     1.06   0.291    -.0588956    .1960803
     _Istateicps_98 |          0  (omitted)
              _cons |   .0101479   .3253908     0.03   0.975    -.6279819    .6482777
-------------------------------------------------------------------------------------
(est2 stored)

added macro:
       e(y_mean_round) : "0.591"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,112
                                                F(55, 2056)       =      12.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1964
                                                Root MSE          =     .11611

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0128457   .0040191     3.20   0.001     .0049638    .0207276
         ww1_vol_sh |   .0561595   .0225079     2.50   0.013     .0120189    .1003001
ww1_awards_pop10_is |   .0228289   .0348128     0.66   0.512    -.0454431    .0911009
             lpop30 |  -.0178732    .014269    -1.25   0.210    -.0458564      .01011
           c30unemp |   .1473977   .1670928     0.88   0.378     -.180291    .4750865
          c30urban1 |   .0006257   .0062679     0.10   0.920    -.0116664    .0129177
            c30farm |   .0230883   .0275243     0.84   0.402      -.03089    .0770667
            iYf_T29 |    .009701   .0099295     0.98   0.329    -.0097719    .0291738
           MEAN9628 |  -.0002393   .0003759    -0.64   0.525    -.0009765    .0004979
             c30men |  -.6103155   .2569558    -2.38   0.018    -1.114236   -.1063947
           c30black |  -.0383678   .0233098    -1.65   0.100     -.084081    .0073455
             c30jap |   1.080642   1.304041     0.83   0.407    -1.476737    3.638021
             c30deu |   .1290899   .1478772     0.87   0.383    -.1609147    .4190945
             c30ita |  -.0178108   .1711641    -0.10   0.917    -.3534839    .3178622
             c30vet |   .3123674   .1159293     2.69   0.007     .0850163    .5397186
           lc40wage |   .0610267   .0212886     2.87   0.004     .0192772    .1027762
      iwarconpro_PC |   .0038778   .0045576     0.85   0.395    -.0050601    .0128157
      _Istateicps_2 |  -.0246599   .0316925    -0.78   0.437    -.0868126    .0374928
      _Istateicps_3 |    -.00178   .0218373    -0.08   0.935    -.0446055    .0410456
      _Istateicps_4 |  -.0272554   .0380022    -0.72   0.473    -.1017821    .0472713
      _Istateicps_5 |   .0601915   .0549111     1.10   0.273    -.0474956    .1678787
      _Istateicps_6 |  -.0265264   .0396528    -0.67   0.504    -.1042902    .0512374
     _Istateicps_11 |  -.0421128   .0259056    -1.63   0.104    -.0929167    .0086911
     _Istateicps_12 |  -.0370491    .023242    -1.59   0.111    -.0826294    .0085313
     _Istateicps_13 |  -.0058449   .0218099    -0.27   0.789    -.0486168     .036927
     _Istateicps_14 |  -.0303851    .022695    -1.34   0.181    -.0748926    .0141225
     _Istateicps_21 |  -.0488951   .0308175    -1.59   0.113    -.1093319    .0115417
     _Istateicps_22 |  -.0686958   .0298961    -2.30   0.022    -.1273256   -.0100659
     _Istateicps_23 |  -.0432331   .0356685    -1.21   0.226    -.1131832     .026717
     _Istateicps_24 |  -.0248982   .0289428    -0.86   0.390    -.0816584    .0318621
     _Istateicps_25 |   -.086283   .0474705    -1.82   0.069    -.1793783    .0068123
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0218372   .0258143    -0.85   0.398     -.072462    .0287876
     _Istateicps_41 |  -.0256727   .0248225    -1.03   0.301    -.0743525    .0230071
     _Istateicps_42 |  -.0375688   .0243465    -1.54   0.123    -.0853152    .0101776
     _Istateicps_43 |   .0096715   .0333963     0.29   0.772    -.0558227    .0751657
     _Istateicps_44 |  -.0370852   .0251507    -1.47   0.140    -.0864088    .0122383
     _Istateicps_45 |  -.0275164   .0245437    -1.12   0.262    -.0756495    .0206168
     _Istateicps_46 |   .0041209   .0263108     0.16   0.876    -.0474777    .0557195
     _Istateicps_47 |  -.0378581   .0236911    -1.60   0.110    -.0843192     .008603
     _Istateicps_48 |  -.0183036   .0270234    -0.68   0.498    -.0712997    .0346924
     _Istateicps_49 |   .0001563   .0267527     0.01   0.995     -.052309    .0526215
     _Istateicps_51 |  -.0277341   .0247344    -1.12   0.262    -.0762411    .0207729
     _Istateicps_52 |  -.0288077   .0348306    -0.83   0.408    -.0971147    .0394993
     _Istateicps_53 |   .0011386   .0351441     0.03   0.974    -.0677832    .0700603
     _Istateicps_54 |  -.0285331   .0240448    -1.19   0.235    -.0756879    .0186217
     _Istateicps_56 |  -.0167634   .0259479    -0.65   0.518    -.0676504    .0341235
     _Istateicps_61 |   .0241063   .0411555     0.59   0.558    -.0566045     .104817
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0043394   .0442019     0.10   0.922    -.0823458    .0910245
     _Istateicps_64 |   .1117669   .0488172     2.29   0.022     .0160306    .2075033
     _Istateicps_65 |   .0044034   .0640059     0.07   0.945    -.1211198    .1299265
     _Istateicps_66 |  -.0117029   .0358482    -0.33   0.744    -.0820055    .0585997
     _Istateicps_67 |   .0084349   .0419336     0.20   0.841    -.0738019    .0906717
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0599907   .0531448     1.13   0.259    -.0442325    .1642139
     _Istateicps_72 |  -.0195219    .040874    -0.48   0.633    -.0996807    .0606369
     _Istateicps_73 |   .0216676   .0377319     0.57   0.566    -.0523292    .0956644
     _Istateicps_98 |          0  (omitted)
              _cons |   .0828442   .1878605     0.44   0.659    -.2855725     .451261
-------------------------------------------------------------------------------------
(est3 stored)

added macro:
       e(y_mean_round) : "0.138"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,112
                                                F(55, 2056)       =      98.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6467
                                                Root MSE          =     .73825

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2074861   .0272647     7.61   0.000     .1540168    .2609553
         ww1_vol_sh |   .4914154   .1251803     3.93   0.000     .2459219    .7369089
ww1_awards_pop10_is |   .3613473   .2507111     1.44   0.150    -.1303268    .8530215
             lpop30 |  -.1380695   .0735768    -1.88   0.061    -.2823623    .0062232
           c30unemp |   1.169856   .9375207     1.25   0.212    -.6687331    3.008445
          c30urban1 |   .0838043   .0430592     1.95   0.052    -.0006398    .1682484
            c30farm |  -.5599507   .1861492    -3.01   0.003    -.9250113   -.1948901
            iYf_T29 |   .0632183   .0566904     1.12   0.265    -.0479582    .1743949
           MEAN9628 |  -2.78e-06   .0021722    -0.00   0.999    -.0042626    .0042571
             c30men |  -6.133593   1.522605    -4.03   0.000    -9.119603   -3.147584
           c30black |  -1.004021   .1522069    -6.60   0.000    -1.302517   -.7055253
             c30jap |    11.6808   6.871403     1.70   0.089    -1.794833    25.15644
             c30deu |    .482843   .7869925     0.61   0.540    -1.060543    2.026229
             c30ita |   -.638076   1.121704    -0.57   0.570    -2.837871    1.561719
             c30vet |    3.37642   .8084774     4.18   0.000       1.7909     4.96194
           lc40wage |   1.014505   .1364065     7.44   0.000     .7469961    1.282015
      iwarconpro_PC |   .2262398   .0321022     7.05   0.000     .1632836     .289196
      _Istateicps_2 |  -.1398492   .2137582    -0.65   0.513    -.5590544     .279356
      _Istateicps_3 |  -.0700704   .2086697    -0.34   0.737    -.4792963    .3391556
      _Istateicps_4 |   .2764503   .2800652     0.99   0.324    -.2727908    .8256914
      _Istateicps_5 |  -.0340787   .4809341    -0.07   0.944    -.9772474    .9090899
      _Istateicps_6 |   .4512599   .2718041     1.66   0.097    -.0817801    .9842999
     _Istateicps_11 |  -.1970403   .1997793    -0.99   0.324    -.5888312    .1947506
     _Istateicps_12 |  -.3895598   .1856155    -2.10   0.036    -.7535739   -.0255458
     _Istateicps_13 |   .1071697   .1746022     0.61   0.539    -.2352459    .4495852
     _Istateicps_14 |  -.3606073   .1792128    -2.01   0.044    -.7120648   -.0091498
     _Istateicps_21 |  -.0201537   .2103218    -0.10   0.924    -.4326196    .3923123
     _Istateicps_22 |  -.3389173   .2074927    -1.63   0.103    -.7458351    .0680004
     _Istateicps_23 |   -.181057   .2368968    -0.76   0.445    -.6456397    .2835256
     _Istateicps_24 |  -.2456988   .2042994    -1.20   0.229    -.6463541    .1549565
     _Istateicps_25 |  -.0055652   .2828669    -0.02   0.984    -.5603007    .5491703
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2410582   .2015655    -1.20   0.232     -.636352    .1542356
     _Istateicps_41 |   .0946582   .1978042     0.48   0.632    -.2932592    .4825756
     _Istateicps_42 |  -.7964401    .199303    -4.00   0.000    -1.187297   -.4055834
     _Istateicps_43 |   .3948311   .2375545     1.66   0.097    -.0710415    .8607037
     _Istateicps_44 |   .0155141   .1979356     0.08   0.938    -.3726611    .4036894
     _Istateicps_45 |  -.6063315   .1965706    -3.08   0.002    -.9918297   -.2208333
     _Istateicps_46 |   .2490855   .2081824     1.20   0.232    -.1591849    .6573559
     _Istateicps_47 |  -.2103321   .1941285    -1.08   0.279     -.591041    .1703768
     _Istateicps_48 |  -.2532181    .210699    -1.20   0.230    -.6664237    .1599875
     _Istateicps_49 |   .9498552   .2184612     4.35   0.000     .5214269    1.378283
     _Istateicps_51 |  -.1838222   .1948204    -0.94   0.346    -.5658881    .1982436
     _Istateicps_52 |  -.6614816   .2475346    -2.67   0.008    -1.146926    -.176037
     _Istateicps_53 |   .2324073   .2578856     0.90   0.368    -.2733369    .7381515
     _Istateicps_54 |   -.223107   .1929827    -1.16   0.248    -.6015689     .155355
     _Istateicps_56 |   .0723961   .2038882     0.36   0.723    -.3274528    .4722449
     _Istateicps_61 |  -.5924746   .2717984    -2.18   0.029    -1.125503   -.0594456
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1640781   .2675001     0.61   0.540    -.3605213    .6886775
     _Istateicps_64 |   1.442992   .2770356     5.21   0.000     .8996925    1.986292
     _Istateicps_65 |  -.0370149   .4150924    -0.09   0.929    -.8510604    .7770305
     _Istateicps_66 |    -.07632   .2848332    -0.27   0.789    -.6349115    .4822716
     _Istateicps_67 |  -.3015035    .271568    -1.11   0.267    -.8340804    .2310735
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4493323     .30575     1.47   0.142    -.1502797    1.048944
     _Istateicps_72 |   .2022644   .2573988     0.79   0.432    -.3025251    .7070539
     _Istateicps_73 |   .6325682   .2789931     2.27   0.023     .0854297    1.179707
     _Istateicps_98 |          0  (omitted)
              _cons |  -3.968841   1.194412    -3.32   0.001    -6.311223   -1.626458
-------------------------------------------------------------------------------------
(est4 stored)

added macro:
       e(y_mean_round) : "-0.106"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2533
Number of clusters (CLIMDIVX) =    324
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2853798    .056667     5.04   0.000     .1742601    .3964995
          iAGRI_T73 |   .1905845   .1088489     1.75   0.080    -.0228601     .404029
         ww1_vol_sh |   .0664649   .0855761     0.78   0.437    -.1013434    .2342732
ww1_awards_pop10_is |   .0340301   .1753651     0.19   0.846    -.3098478     .377908
             lpop30 |  -.1426726   .0403896    -3.53   0.000    -.2218736   -.0634715
           c30unemp |  -.9157256   .6030951    -1.52   0.129     -2.09835    .2668994
          c30urban1 |   .1741649   .0456237     3.82   0.000     .0847002    .2636296
            c30farm |    .456252   .2741451     1.66   0.096    -.0813262    .9938302
            iYf_T29 |   .3379145   .0793068     4.26   0.000     .1823996    .4934293
           MEAN9628 |   .0098049   .0031695     3.09   0.002     .0035897    .0160202
             c30men |  -1.737019   1.878012    -0.92   0.355    -5.419661    1.945624
           c30black |  -.2158315   .2807852    -0.77   0.442    -.7664306    .3347676
             c30jap |  -1.388949   4.927883    -0.28   0.778    -11.05216    8.274265
             c30deu |   1.581435   .6288246     2.51   0.012     .3483564    2.814514
             c30ita |  -1.045856   1.039249    -1.01   0.314    -3.083746    .9920339
             c30vet |   1.472768   .7216808     2.04   0.041     .0576054    2.887931
           lc40wage |   .0006204   .1396264     0.00   0.996    -.2731766    .2744174
      iwarconpro_PC |  -.0254118   .0315587    -0.81   0.421     -.087296    .0364724
      _Istateicps_2 |  -1.327754   .3358805    -3.95   0.000     -1.98639   -.6691169
      _Istateicps_3 |  -.0404168   .1305642    -0.31   0.757    -.2964435      .21561
      _Istateicps_4 |  -1.236415   .1734441    -7.13   0.000    -1.576526   -.8963036
      _Istateicps_5 |  -.2814815   .1122209    -2.51   0.012    -.5015383   -.0614247
      _Istateicps_6 |  -.9284653   .1993854    -4.66   0.000    -1.319445   -.5374852
     _Istateicps_11 |   -.388387    .337785    -1.15   0.250    -1.050759    .2739844
     _Istateicps_12 |  -.3343601   .1969244    -1.70   0.090    -.7205143     .051794
     _Istateicps_13 |  -1.178171   .1912534    -6.16   0.000    -1.553204    -.803137
     _Istateicps_14 |  -1.203618   .1735038    -6.94   0.000    -1.543846   -.8633899
     _Istateicps_21 |  -.2309227   .2747114    -0.84   0.401    -.7696115     .307766
     _Istateicps_22 |  -.5372481   .2612771    -2.06   0.040    -1.049593   -.0249031
     _Istateicps_23 |   -.797459   .2387476    -3.34   0.001    -1.265625   -.3292925
     _Istateicps_24 |  -.8135966   .2272043    -3.58   0.000    -1.259127   -.3680658
     _Istateicps_25 |  -.6298056   .2508772    -2.51   0.012    -1.121757   -.1378539
     _Istateicps_31 |  -.0231425   .2570545    -0.09   0.928    -.5272073    .4809224
     _Istateicps_32 |   .1993858   .4503708     0.44   0.658    -.6837581     1.08253
     _Istateicps_33 |  -.3001948   .3304172    -0.91   0.364    -.9481185    .3477288
     _Istateicps_34 |  -.7345106   .2557638    -2.87   0.004    -1.236044   -.2329768
     _Istateicps_35 |    .668765   .3805509     1.76   0.079    -.0774671    1.414997
     _Istateicps_36 |   1.256312   .2673903     4.70   0.000     .7319794    1.780645
     _Istateicps_37 |   .5532204    .298243     1.85   0.064     -.031612    1.138053
     _Istateicps_40 |      -1.04   .2019361    -5.15   0.000    -1.435982   -.6440184
     _Istateicps_41 |  -.5034216    .203814    -2.47   0.014    -.9030858   -.1037573
     _Istateicps_42 |  -1.107462   .2287743    -4.84   0.000    -1.556071   -.6588526
     _Istateicps_43 |  -.8110063   .2832125    -2.86   0.004    -1.366365   -.2556475
     _Istateicps_44 |  -.4248021   .2127679    -2.00   0.046    -.8420241     -.00758
     _Istateicps_45 |   -.536505   .3017546    -1.78   0.076    -1.128224    .0552135
     _Istateicps_46 |  -1.198119   .2588105    -4.63   0.000    -1.705627   -.6906108
     _Istateicps_47 |  -.6087677   .2537192    -2.40   0.016    -1.106292   -.1112431
     _Istateicps_48 |  -.6834094   .2546505    -2.68   0.007     -1.18276   -.1840586
     _Istateicps_49 |   .2547861   .4552393     0.56   0.576    -.6379046    1.147477
     _Istateicps_51 |  -1.031217   .3745693    -2.75   0.006     -1.76572   -.2967143
     _Istateicps_52 |  -.2779015   .2007378    -1.38   0.166    -.6715334    .1157304
     _Istateicps_53 |   -.802176   .3788658    -2.12   0.034    -1.545104   -.0592481
     _Istateicps_54 |  -1.043687   .2184431    -4.78   0.000    -1.472038   -.6153363
     _Istateicps_56 |  -1.499516   .2381626    -6.30   0.000    -1.966535   -1.032497
     _Istateicps_61 |  -.5475566   .3958494    -1.38   0.167    -1.323788    .2286749
     _Istateicps_62 |  -1.046041   .3214026    -3.25   0.001    -1.676288   -.4157942
     _Istateicps_63 |  -.2847429   .3131357    -0.91   0.363    -.8987788    .3292929
     _Istateicps_64 |   .3017151   .4186139     0.72   0.471    -.5191557    1.122586
     _Istateicps_65 |  -.3785289   .3932508    -0.96   0.336    -1.149665    .3926069
     _Istateicps_66 |  -.5826416   .3400659    -1.71   0.087    -1.249486    .0842025
     _Istateicps_67 |  -.4034078   .2810121    -1.44   0.151    -.9544519    .1476362
     _Istateicps_68 |   .5590056   .3269548     1.71   0.087    -.0821286     1.20014
     _Istateicps_71 |    .371519   .2545589     1.46   0.145    -.1276521    .8706901
     _Istateicps_72 |   -.359615   .3585518    -1.00   0.316    -1.062709    .3434785
     _Istateicps_73 |  -.3014499   .3473459    -0.87   0.386    -.9825695    .3796698
     _Istateicps_98 |          0  (omitted)
              _cons |   6.855723   1.670232     4.10   0.000     3.580522    10.13093
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   323) =    12.91
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   323) =    12.91
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   323)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   323)
iAGRI_PF     |      12.91    0.0000 |       26.58   0.0000 |       12.91

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.32    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      73.05
Kleibergen-Paap Wald rk F statistic                                12.91

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,323)=      10.05     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     20.69     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        324
Number of observations               N  =       2533
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    324                Number of obs =     2533
                                                      F( 64,   323) =   116.53
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1208.085307                Centered R2   =   0.6261
Total (uncentered) SS   =  54718.51878                Uncentered R2 =   0.9917
Residual SS             =  451.6913641                Root MSE      =    .4223

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3399965   .0626204     5.43   0.000     .2172628    .4627303
         ww1_vol_sh |   .0108014   .0485008     0.22   0.824    -.0842583    .1058611
ww1_awards_pop10_is |   .1895578   .0931649     2.03   0.042     .0069579    .3721577
             lpop30 |   .0154174    .033381     0.46   0.644    -.0500081    .0808428
           c30unemp |  -.2859794   .3122258    -0.92   0.360    -.8979307    .3259719
          c30urban1 |   .0115433   .0351628     0.33   0.743    -.0573746    .0804611
            c30farm |  -.7029445   .1720935    -4.08   0.000    -1.040242   -.3656474
            iYf_T29 |   .0083704   .0364852     0.23   0.819    -.0631392      .07988
           MEAN9628 |  -.0000322   .0014687    -0.02   0.983    -.0029108    .0028464
             c30men |  -.7542631    .974497    -0.77   0.439    -2.664242    1.155716
           c30black |  -.2036083   .1213578    -1.68   0.093    -.4414652    .0342487
             c30jap |   4.536863   2.777816     1.63   0.102     -.907556    9.981282
             c30deu |    .467274    .313387     1.49   0.136    -.1469532    1.081501
             c30ita |  -.2360233   .6680576    -0.35   0.724    -1.545392    1.073346
             c30vet |  -.7492283   1.211242    -0.62   0.536    -3.123219    1.624762
           lc40wage |   .4551824   .0726863     6.26   0.000     .3127198    .5976449
      iwarconpro_PC |   .3005243   .0261536    11.49   0.000     .2492643    .3517843
      _Istateicps_2 |   .2336241   .1875854     1.25   0.213    -.1340365    .6012848
      _Istateicps_3 |  -.1650708   .0912721    -1.81   0.071    -.3439608    .0138192
      _Istateicps_4 |    .252301   .1162714     2.17   0.030     .0244132    .4801887
      _Istateicps_5 |  -.2248128     .06934    -3.24   0.001    -.3607166   -.0889089
      _Istateicps_6 |   .2714279     .14186     1.91   0.056    -.0066126    .5494683
     _Istateicps_11 |   .3656034   .1553678     2.35   0.019     .0610882    .6701187
     _Istateicps_12 |  -.0147903   .0743599    -0.20   0.842     -.160533    .1309524
     _Istateicps_13 |   .2422142   .0908399     2.67   0.008     .0641713    .4202571
     _Istateicps_14 |   .3156685    .096247     3.28   0.001     .1270279    .5043092
     _Istateicps_21 |   .0720245   .1042191     0.69   0.490    -.1322412    .2762902
     _Istateicps_22 |    .059305   .0919964     0.64   0.519    -.1210046    .2396145
     _Istateicps_23 |   .0932523   .0938002     0.99   0.320    -.0905926    .2770972
     _Istateicps_24 |   .0522383   .0810495     0.64   0.519    -.1066158    .2110924
     _Istateicps_25 |   .0754498   .1065542     0.71   0.479    -.1333925    .2842921
     _Istateicps_31 |   .4623285   .1358611     3.40   0.001     .1960456    .7286114
     _Istateicps_32 |    .228259   .1581847     1.44   0.149    -.0817774    .5382954
     _Istateicps_33 |   .4085825   .1125894     3.63   0.000     .1879113    .6292536
     _Istateicps_34 |   .1171399   .0912558     1.28   0.199    -.0617183     .295998
     _Istateicps_35 |   .5269637    .149887     3.52   0.000     .2331906    .8207369
     _Istateicps_36 |   .3525847   .2129199     1.66   0.098    -.0647307    .7699001
     _Istateicps_37 |   .1854683   .1471951     1.26   0.208    -.1030288    .4739653
     _Istateicps_40 |    .347814   .1240785     2.80   0.005     .1046246    .5910034
     _Istateicps_41 |   .1669341   .1052843     1.59   0.113    -.0394194    .3732875
     _Istateicps_42 |  -.1665817   .1177669    -1.41   0.157    -.3974006    .0642371
     _Istateicps_43 |    .202315   .1067983     1.89   0.058    -.0070058    .4116359
     _Istateicps_44 |   -.024147   .1044795    -0.23   0.817     -.228923     .180629
     _Istateicps_45 |  -.0967816   .1156139    -0.84   0.403    -.3233807    .1298176
     _Istateicps_46 |   .2202426   .1329543     1.66   0.098    -.0403431    .4808282
     _Istateicps_47 |    .086162    .127414     0.68   0.499    -.1635649    .3358889
     _Istateicps_48 |  -.2498998   .1265031    -1.98   0.048    -.4978413   -.0019583
     _Istateicps_49 |   .0011923    .142991     0.01   0.993    -.2790648    .2814494
     _Istateicps_51 |  -.0711061   .1009583    -0.70   0.481    -.2689807    .1267686
     _Istateicps_52 |   .0109612   .1102703     0.10   0.921    -.2051647    .2270871
     _Istateicps_53 |    -.01991   .1389082    -0.14   0.886     -.292165     .252345
     _Istateicps_54 |    .072876   .1037868     0.70   0.483    -.1305425    .2762945
     _Istateicps_56 |   .2667936   .1361092     1.96   0.050     .0000245    .5335626
     _Istateicps_61 |    .152909   .1447476     1.06   0.291    -.1307911    .4366092
     _Istateicps_62 |    .161069   .1092313     1.47   0.140    -.0530205    .3751585
     _Istateicps_63 |   .1800151   .1365113     1.32   0.187    -.0875421    .4475724
     _Istateicps_64 |   .5346085   .1429726     3.74   0.000     .2543874    .8148297
     _Istateicps_65 |   .2165115   .1741076     1.24   0.214    -.1247332    .5577561
     _Istateicps_66 |  -.1249814    .167293    -0.75   0.455    -.4528696    .2029068
     _Istateicps_67 |  -.0243778   .1019892    -0.24   0.811    -.2242729    .1755174
     _Istateicps_68 |   .2454778   .1734899     1.41   0.157    -.0945562    .5855117
     _Istateicps_71 |   .0741008   .1402504     0.53   0.597    -.2007849    .3489864
     _Istateicps_72 |   .5899688     .11222     5.26   0.000     .3700216    .8099161
     _Istateicps_73 |   .5062259   .1304963     3.88   0.000     .2504579    .7619938
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1179429   .8756341    -0.13   0.893    -1.834154    1.598268
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.325
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               73.051
                         (Kleibergen-Paap rk Wald F statistic):         12.909
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est5 stored)

added macro:
            e(RA_test) : "0.000"

added macro:
       e(y_mean_round) : "4.596"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2112
Number of clusters (CLIMDIVX) =    261
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |    .288526   .0575723     5.01   0.000     .1756199    .4014321
          iAGRI_T73 |   .1868723   .1171442     1.60   0.111    -.0428614     .416606
         ww1_vol_sh |   .0751728   .0998811     0.75   0.452    -.1207059    .2710515
ww1_awards_pop10_is |  -.0006187    .210489    -0.00   0.998    -.4134128    .4121754
             lpop30 |  -.1611097   .0435412    -3.70   0.000    -.2464993   -.0757201
           c30unemp |  -.8169138   .6627707    -1.23   0.218    -2.116686    .4828585
          c30urban1 |   .1771759   .0465377     3.81   0.000     .0859099    .2684419
            c30farm |   .2465981   .2870799     0.86   0.390    -.3163997     .809596
            iYf_T29 |   .3525879   .0883672     3.99   0.000     .1792894    .5258865
           MEAN9628 |   .0100877   .0034468     2.93   0.003      .003328    .0168473
             c30men |  -1.191692   2.000681    -0.60   0.551    -5.115266    2.731883
           c30black |   -.215837   .2792525    -0.77   0.440    -.7634843    .3318104
             c30jap |  -5.539735   5.543323    -1.00   0.318    -16.41085    5.331381
             c30deu |   1.303943   .8235434     1.58   0.113    -.3111239    2.919009
             c30ita |   -1.53979      1.096    -1.40   0.160    -3.689176     .609597
             c30vet |   .8401071   .7049484     1.19   0.234    -.5423807    2.222595
           lc40wage |   .0019093   .1456337     0.01   0.990    -.2836958    .2875144
      iwarconpro_PC |  -.0096844   .0335999    -0.29   0.773    -.0755778     .056209
      _Istateicps_2 |  -1.373812   .3463453    -3.97   0.000    -2.053037   -.6945879
      _Istateicps_3 |  -.0551746   .1341207    -0.41   0.681    -.3182012    .2078521
      _Istateicps_4 |   -1.28811   .1786803    -7.21   0.000    -1.638524   -.9376971
      _Istateicps_5 |  -.2992138   .1119524    -2.67   0.008    -.5187658   -.0796619
      _Istateicps_6 |   -.947329   .2033236    -4.66   0.000    -1.346071   -.5485871
     _Istateicps_11 |  -.4195853   .3367627    -1.25   0.213    -1.080017    .2408465
     _Istateicps_12 |  -.3452998   .1931462    -1.79   0.074    -.7240824    .0334828
     _Istateicps_13 |  -1.181832   .1929695    -6.12   0.000    -1.560268   -.8033956
     _Istateicps_14 |  -1.227971   .1752846    -7.01   0.000    -1.571725   -.8842168
     _Istateicps_21 |  -.2238471    .283582    -0.79   0.430    -.7799851    .3322909
     _Istateicps_22 |  -.5484992   .2650591    -2.07   0.039    -1.068312   -.0286867
     _Istateicps_23 |  -.8093401    .248417    -3.26   0.001    -1.296515   -.3221647
     _Istateicps_24 |  -.8317573   .2318486    -3.59   0.000     -1.28644   -.3770746
     _Istateicps_25 |  -.5912445   .2686053    -2.20   0.028    -1.118011   -.0644775
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.034151   .2056774    -5.03   0.000    -1.437509   -.6307933
     _Istateicps_41 |  -.4623157   .2099907    -2.20   0.028    -.8741325   -.0504988
     _Istateicps_42 |  -1.069809   .2370395    -4.51   0.000    -1.534671    -.604946
     _Istateicps_43 |  -.8616393   .2817317    -3.06   0.002    -1.414149   -.3091299
     _Istateicps_44 |  -.4043141   .2198372    -1.84   0.066     -.835441    .0268128
     _Istateicps_45 |  -.5269583   .3072948    -1.71   0.087      -1.1296    .0756835
     _Istateicps_46 |  -1.159794   .2663571    -4.35   0.000    -1.682151   -.6374356
     _Istateicps_47 |  -.5831494   .2561249    -2.28   0.023    -1.085441   -.0808581
     _Istateicps_48 |  -.6546708   .2624541    -2.49   0.013    -1.169374   -.1399671
     _Istateicps_49 |   .2521823   .4542882     0.56   0.579    -.6387311    1.143096
     _Istateicps_51 |  -1.010468    .373443    -2.71   0.007    -1.742834   -.2781013
     _Istateicps_52 |  -.2977787   .2031552    -1.47   0.143    -.6961903    .1006329
     _Istateicps_53 |  -.7673778   .3866354    -1.98   0.047    -1.525616   -.0091397
     _Istateicps_54 |  -1.013343   .2264875    -4.47   0.000    -1.457512   -.5691745
     _Istateicps_56 |  -1.502713   .2425247    -6.20   0.000    -1.978332   -1.027093
     _Istateicps_61 |  -.5670448   .4043243    -1.40   0.161    -1.359973    .2258833
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.2802309     .32743    -0.86   0.392    -.9223601    .3618982
     _Istateicps_64 |   .3285652   .4449503     0.74   0.460    -.5440354    1.201166
     _Istateicps_65 |  -.4290841   .4204157    -1.02   0.308    -1.253569    .3954011
     _Istateicps_66 |  -.5708659   .3531234    -1.62   0.106    -1.263383    .1216511
     _Istateicps_67 |  -.4243296   .2963075    -1.43   0.152    -1.005424    .1567647
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4237805   .2657894     1.59   0.111    -.0974642    .9450251
     _Istateicps_72 |  -.3492768   .3743907    -0.93   0.351    -1.083502     .384948
     _Istateicps_73 |  -.2979284   .3555722    -0.84   0.402    -.9952479    .3993911
     _Istateicps_98 |          0  (omitted)
              _cons |   6.848479   1.803146     3.80   0.000     3.312296    10.38466
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   260)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   260)
iAGRI_PF     |      12.72    0.0000 |       26.23   0.0000 |       12.72

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.08    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      68.45
Kleibergen-Paap Wald rk F statistic                                12.72

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,260)=       1.88     P-val=0.1547
Anderson-Rubin Wald test           Chi-sq(2)=      3.88     P-val=0.1439
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        261
Number of observations               N  =       2112
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    261                Number of obs =     2112
                                                      F( 55,   260) =  7797.70
                                                      Prob > F      =   0.0000
Total (centered) SS     =   195.372148                Centered R2   =   0.5037
Total (uncentered) SS   =  933.7028921                Uncentered R2 =   0.8961
Residual SS             =   96.9686837                Root MSE      =    .2143

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1464015    .067768     2.16   0.031     .0135788    .2792243
         ww1_vol_sh |   .1332507   .0325382     4.10   0.000      .069477    .1970243
ww1_awards_pop10_is |   .0576463   .0885124     0.65   0.515    -.1158347    .2311274
             lpop30 |   .0093645   .0182951     0.51   0.609    -.0264933    .0452223
           c30unemp |   .5439324   .2521208     2.16   0.031     .0497847     1.03808
          c30urban1 |  -.0245119   .0182144    -1.35   0.178    -.0602115    .0111877
            c30farm |  -.1783514   .0684768    -2.60   0.009    -.3125634   -.0441395
            iYf_T29 |  -.0586909   .0281342    -2.09   0.037     -.113833   -.0035488
           MEAN9628 |  -.0027031   .0010875    -2.49   0.013    -.0048347   -.0005716
             c30men |  -1.077571   .6177463    -1.74   0.081    -2.288332    .1331891
           c30black |  -.3669267   .0604019    -6.07   0.000    -.4853123    -.248541
             c30jap |   .9893518   1.470924     0.67   0.501    -1.893607    3.872311
             c30deu |  -.6352362   .1960415    -3.24   0.001    -1.019471   -.2510019
             c30ita |  -.0948394   .2873956    -0.33   0.741    -.6581245    .4684457
             c30vet |   .6735337   .2833162     2.38   0.017     .1182442    1.228823
           lc40wage |   .1748886   .0452697     3.86   0.000     .0861617    .2636156
      iwarconpro_PC |  -.0357309    .010261    -3.48   0.000    -.0558421   -.0156197
      _Istateicps_2 |    .150259   .1113418     1.35   0.177     -.067967    .3684849
      _Istateicps_3 |   .0396679   .0731695     0.54   0.588    -.1037417    .1830775
      _Istateicps_4 |   .3692481   .1048483     3.52   0.000     .1637491    .5747471
      _Istateicps_5 |   .0355861   .0665289     0.53   0.593    -.0948082    .1659803
      _Istateicps_6 |   .3983157   .0975855     4.08   0.000     .2070517    .5895796
     _Istateicps_11 |  -.1304437     .09585    -1.36   0.174    -.3183063    .0574189
     _Istateicps_12 |  -.0643695   .0914087    -0.70   0.481    -.2435271    .1147882
     _Istateicps_13 |   .1404487   .0957265     1.47   0.142    -.0471719    .3280693
     _Istateicps_14 |  -.0822046   .0970252    -0.85   0.397    -.2723705    .1079613
     _Istateicps_21 |  -.0287101   .0817618    -0.35   0.725    -.1889604    .1315401
     _Istateicps_22 |  -.0836188   .0807428    -1.04   0.300    -.2418718    .0746341
     _Istateicps_23 |  -.0187542   .0888365    -0.21   0.833    -.1928706    .1553622
     _Istateicps_24 |  -.0695566   .0754123    -0.92   0.356    -.2173619    .0782487
     _Istateicps_25 |   .1474512   .0896979     1.64   0.100    -.0283535    .3232559
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0015182   .1075959    -0.01   0.989    -.2124023    .2093658
     _Istateicps_41 |   .1727743   .0923449     1.87   0.061    -.0082184    .3537669
     _Istateicps_42 |  -.1510047   .0808915    -1.87   0.062     -.309549    .0075397
     _Istateicps_43 |   .3295846   .1046659     3.15   0.002     .1244431    .5347261
     _Istateicps_44 |   .2356132   .0833106     2.83   0.005     .0723275    .3988989
     _Istateicps_45 |   -.091746   .0948294    -0.97   0.333    -.2776082    .0941162
     _Istateicps_46 |   .2866943   .1040408     2.76   0.006     .0827781    .4906104
     _Istateicps_47 |   .0701682   .0931313     0.75   0.451    -.1123657    .2527022
     _Istateicps_48 |   .1596612   .0933367     1.71   0.087    -.0232752    .3425977
     _Istateicps_49 |   .4544557   .0970858     4.68   0.000     .2641711    .6447403
     _Istateicps_51 |   .1346791   .1140497     1.18   0.238    -.0888542    .3582124
     _Istateicps_52 |  -.2541545   .0821818    -3.09   0.002    -.4152278   -.0930811
     _Istateicps_53 |   .1836151   .0788175     2.33   0.020     .0291356    .3380945
     _Istateicps_54 |   .0690437   .1005209     0.69   0.492    -.1279736    .2660609
     _Istateicps_56 |   .2835225   .1251813     2.26   0.024     .0381717    .5288733
     _Istateicps_61 |  -.4336288   .0908507    -4.77   0.000    -.6116928   -.2555648
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0871858   .0941172    -0.93   0.354    -.2716522    .0972806
     _Istateicps_64 |   .0839272   .1197194     0.70   0.483    -.1507186     .318573
     _Istateicps_65 |  -.1387703    .107027    -1.30   0.195    -.3485394    .0709988
     _Istateicps_66 |   .0978384   .0905621     1.08   0.280      -.07966    .2753368
     _Istateicps_67 |  -.2054282   .0815333    -2.52   0.012    -.3652306   -.0456258
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0577286   .1070029    -0.54   0.590    -.2674504    .1519932
     _Istateicps_72 |  -.1784911   .0923999    -1.93   0.053    -.3595917    .0026094
     _Istateicps_73 |    .058826   .0854305     0.69   0.491    -.1086147    .2262668
     _Istateicps_98 |          0  (omitted)
              _cons |  -.7139079    .708073    -1.01   0.313    -2.101705    .6738896
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.076
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               68.450
                         (Kleibergen-Paap rk Wald F statistic):         12.716
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

added macro:
            e(RA_test) : "0.155"

added macro:
       e(y_mean_round) : "0.591"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2112
Number of clusters (CLIMDIVX) =    261
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |    .288526   .0575723     5.01   0.000     .1756199    .4014321
          iAGRI_T73 |   .1868723   .1171442     1.60   0.111    -.0428614     .416606
         ww1_vol_sh |   .0751728   .0998811     0.75   0.452    -.1207059    .2710515
ww1_awards_pop10_is |  -.0006187    .210489    -0.00   0.998    -.4134128    .4121754
             lpop30 |  -.1611097   .0435412    -3.70   0.000    -.2464993   -.0757201
           c30unemp |  -.8169138   .6627707    -1.23   0.218    -2.116686    .4828585
          c30urban1 |   .1771759   .0465377     3.81   0.000     .0859099    .2684419
            c30farm |   .2465981   .2870799     0.86   0.390    -.3163997     .809596
            iYf_T29 |   .3525879   .0883672     3.99   0.000     .1792894    .5258865
           MEAN9628 |   .0100877   .0034468     2.93   0.003      .003328    .0168473
             c30men |  -1.191692   2.000681    -0.60   0.551    -5.115266    2.731883
           c30black |   -.215837   .2792525    -0.77   0.440    -.7634843    .3318104
             c30jap |  -5.539735   5.543323    -1.00   0.318    -16.41085    5.331381
             c30deu |   1.303943   .8235434     1.58   0.113    -.3111239    2.919009
             c30ita |   -1.53979      1.096    -1.40   0.160    -3.689176     .609597
             c30vet |   .8401071   .7049484     1.19   0.234    -.5423807    2.222595
           lc40wage |   .0019093   .1456337     0.01   0.990    -.2836958    .2875144
      iwarconpro_PC |  -.0096844   .0335999    -0.29   0.773    -.0755778     .056209
      _Istateicps_2 |  -1.373812   .3463453    -3.97   0.000    -2.053037   -.6945879
      _Istateicps_3 |  -.0551746   .1341207    -0.41   0.681    -.3182012    .2078521
      _Istateicps_4 |   -1.28811   .1786803    -7.21   0.000    -1.638524   -.9376971
      _Istateicps_5 |  -.2992138   .1119524    -2.67   0.008    -.5187658   -.0796619
      _Istateicps_6 |   -.947329   .2033236    -4.66   0.000    -1.346071   -.5485871
     _Istateicps_11 |  -.4195853   .3367627    -1.25   0.213    -1.080017    .2408465
     _Istateicps_12 |  -.3452998   .1931462    -1.79   0.074    -.7240824    .0334828
     _Istateicps_13 |  -1.181832   .1929695    -6.12   0.000    -1.560268   -.8033956
     _Istateicps_14 |  -1.227971   .1752846    -7.01   0.000    -1.571725   -.8842168
     _Istateicps_21 |  -.2238471    .283582    -0.79   0.430    -.7799851    .3322909
     _Istateicps_22 |  -.5484992   .2650591    -2.07   0.039    -1.068312   -.0286867
     _Istateicps_23 |  -.8093401    .248417    -3.26   0.001    -1.296515   -.3221647
     _Istateicps_24 |  -.8317573   .2318486    -3.59   0.000     -1.28644   -.3770746
     _Istateicps_25 |  -.5912445   .2686053    -2.20   0.028    -1.118011   -.0644775
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.034151   .2056774    -5.03   0.000    -1.437509   -.6307933
     _Istateicps_41 |  -.4623157   .2099907    -2.20   0.028    -.8741325   -.0504988
     _Istateicps_42 |  -1.069809   .2370395    -4.51   0.000    -1.534671    -.604946
     _Istateicps_43 |  -.8616393   .2817317    -3.06   0.002    -1.414149   -.3091299
     _Istateicps_44 |  -.4043141   .2198372    -1.84   0.066     -.835441    .0268128
     _Istateicps_45 |  -.5269583   .3072948    -1.71   0.087      -1.1296    .0756835
     _Istateicps_46 |  -1.159794   .2663571    -4.35   0.000    -1.682151   -.6374356
     _Istateicps_47 |  -.5831494   .2561249    -2.28   0.023    -1.085441   -.0808581
     _Istateicps_48 |  -.6546708   .2624541    -2.49   0.013    -1.169374   -.1399671
     _Istateicps_49 |   .2521823   .4542882     0.56   0.579    -.6387311    1.143096
     _Istateicps_51 |  -1.010468    .373443    -2.71   0.007    -1.742834   -.2781013
     _Istateicps_52 |  -.2977787   .2031552    -1.47   0.143    -.6961903    .1006329
     _Istateicps_53 |  -.7673778   .3866354    -1.98   0.047    -1.525616   -.0091397
     _Istateicps_54 |  -1.013343   .2264875    -4.47   0.000    -1.457512   -.5691745
     _Istateicps_56 |  -1.502713   .2425247    -6.20   0.000    -1.978332   -1.027093
     _Istateicps_61 |  -.5670448   .4043243    -1.40   0.161    -1.359973    .2258833
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.2802309     .32743    -0.86   0.392    -.9223601    .3618982
     _Istateicps_64 |   .3285652   .4449503     0.74   0.460    -.5440354    1.201166
     _Istateicps_65 |  -.4290841   .4204157    -1.02   0.308    -1.253569    .3954011
     _Istateicps_66 |  -.5708659   .3531234    -1.62   0.106    -1.263383    .1216511
     _Istateicps_67 |  -.4243296   .2963075    -1.43   0.152    -1.005424    .1567647
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4237805   .2657894     1.59   0.111    -.0974642    .9450251
     _Istateicps_72 |  -.3492768   .3743907    -0.93   0.351    -1.083502     .384948
     _Istateicps_73 |  -.2979284   .3555722    -0.84   0.402    -.9952479    .3993911
     _Istateicps_98 |          0  (omitted)
              _cons |   6.848479   1.803146     3.80   0.000     3.312296    10.38466
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   260)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   260)
iAGRI_PF     |      12.72    0.0000 |       26.23   0.0000 |       12.72

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.08    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      68.45
Kleibergen-Paap Wald rk F statistic                                12.72

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,260)=       6.37     P-val=0.0020
Anderson-Rubin Wald test           Chi-sq(2)=     13.15     P-val=0.0014
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        261
Number of observations               N  =       2112
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    261                Number of obs =     2112
                                                      F( 55,   260) =  2536.02
                                                      Prob > F      =   0.0000
Total (centered) SS     =   34.4913981                Centered R2   =   0.1437
Total (uncentered) SS   =  74.95773469                Uncentered R2 =   0.6060
Residual SS             =  29.53482311                Root MSE      =    .1183

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0531946   .0136183     3.91   0.000     .0265031     .079886
         ww1_vol_sh |   .0545282   .0221826     2.46   0.014      .011051    .0980054
ww1_awards_pop10_is |   .0218135   .0466267     0.47   0.640    -.0695731    .1132001
             lpop30 |  -.0108253   .0142815    -0.76   0.448    -.0388165     .017166
           c30unemp |   .1782222   .1733152     1.03   0.304    -.1614693    .5179137
          c30urban1 |  -.0071763   .0076458    -0.94   0.348    -.0221619    .0078092
            c30farm |   .0068262   .0285536     0.24   0.811    -.0491379    .0627903
            iYf_T29 |   -.003823   .0110956    -0.34   0.730    -.0255699    .0179239
           MEAN9628 |  -.0007548    .000429    -1.76   0.079    -.0015956     .000086
             c30men |  -.5727485   .2334587    -2.45   0.014    -1.030319   -.1151778
           c30black |  -.0297487   .0247501    -1.20   0.229    -.0782581    .0187607
             c30jap |   1.174231   1.185823     0.99   0.322    -1.149939      3.4984
             c30deu |   .0725087   .1519802     0.48   0.633     -.225367    .3703845
             c30ita |   .0275571   .1942643     0.14   0.887    -.3531939    .4083082
             c30vet |   .2710125   .1145122     2.37   0.018     .0465727    .4954523
           lc40wage |   .0575366   .0220235     2.61   0.009     .0143713     .100702
      iwarconpro_PC |   .0041377   .0044683     0.93   0.354      -.00462    .0128953
      _Istateicps_2 |   .0270852   .0289523     0.94   0.350    -.0296602    .0838306
      _Istateicps_3 |    -.00198   .0156295    -0.13   0.899    -.0326133    .0286533
      _Istateicps_4 |   .0194668   .0286325     0.68   0.497    -.0366519    .0755855
      _Istateicps_5 |    .071693   .0151624     4.73   0.000     .0419751    .1014108
      _Istateicps_6 |   .0100874   .0366088     0.28   0.783    -.0616645    .0818393
     _Istateicps_11 |  -.0251469   .0176323    -1.43   0.154    -.0597055    .0094118
     _Istateicps_12 |  -.0238156   .0179637    -1.33   0.185    -.0590239    .0113926
     _Istateicps_13 |   .0278544   .0225112     1.24   0.216    -.0162668    .0719756
     _Istateicps_14 |   .0103506    .022384     0.46   0.644    -.0335212    .0542224
     _Istateicps_21 |  -.0675782    .035032    -1.93   0.054    -.1362396    .0010832
     _Istateicps_22 |  -.0744417   .0292895    -2.54   0.011     -.131848   -.0170355
     _Istateicps_23 |  -.0379497   .0350428    -1.08   0.279    -.1066324     .030733
     _Istateicps_24 |  -.0174219   .0267308    -0.65   0.515    -.0698132    .0349695
     _Istateicps_25 |  -.0914189   .0475136    -1.92   0.054    -.1845439    .0017062
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0228309   .0258896     0.88   0.378    -.0279118    .0735736
     _Istateicps_41 |  -.0040183   .0231394    -0.17   0.862    -.0493707    .0413342
     _Istateicps_42 |  -.0173297    .021162    -0.82   0.413    -.0588064     .024147
     _Istateicps_43 |   .0453616   .0328411     1.38   0.167    -.0190058     .109729
     _Istateicps_44 |  -.0197052   .0246971    -0.80   0.425    -.0681107    .0287002
     _Istateicps_45 |  -.0061704   .0270032    -0.23   0.819    -.0590956    .0467549
     _Istateicps_46 |    .044518   .0265081     1.68   0.093    -.0074369     .096473
     _Istateicps_47 |   -.015027   .0225068    -0.67   0.504    -.0591396    .0290856
     _Istateicps_48 |  -.0015401    .024892    -0.06   0.951    -.0503275    .0472473
     _Istateicps_49 |  -.0239201   .0315158    -0.76   0.448    -.0856899    .0378497
     _Istateicps_51 |  -.0045197   .0250148    -0.18   0.857    -.0535479    .0445085
     _Istateicps_52 |  -.0164016   .0314157    -0.52   0.602    -.0779753    .0451721
     _Istateicps_53 |    .003917   .0356412     0.11   0.912    -.0659384    .0737724
     _Istateicps_54 |  -.0006004   .0229869    -0.03   0.979     -.045654    .0444531
     _Istateicps_56 |   .0401098   .0270562     1.48   0.138    -.0129193     .093139
     _Istateicps_61 |    .028872   .0426024     0.68   0.498    -.0546272    .1123712
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0149431   .0429158    -0.35   0.728    -.0990565    .0691704
     _Istateicps_64 |   .0679151   .0717598     0.95   0.344    -.0727315    .2085617
     _Istateicps_65 |   .0001051   .0507749     0.00   0.998    -.0994119    .0996221
     _Istateicps_66 |  -.0090111   .0406615    -0.22   0.825    -.0887061     .070684
     _Istateicps_67 |   .0012845   .0364133     0.04   0.972    -.0700843    .0726533
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0297322   .0516017     0.58   0.564    -.0714053    .1308696
     _Istateicps_72 |  -.0329492   .0488378    -0.67   0.500    -.1286695    .0627711
     _Istateicps_73 |    .018313   .0357838     0.51   0.609     -.051822     .088448
     _Istateicps_98 |          0  (omitted)
              _cons |    -.16586   .1954154    -0.85   0.396    -.5488671    .2171471
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.076
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               68.450
                         (Kleibergen-Paap rk Wald F statistic):         12.716
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est7 stored)

added macro:
            e(RA_test) : "0.002"

added macro:
       e(y_mean_round) : "0.138"
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2112
Number of clusters (CLIMDIVX) =    261
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |    .288526   .0575723     5.01   0.000     .1756199    .4014321
          iAGRI_T73 |   .1868723   .1171442     1.60   0.111    -.0428614     .416606
         ww1_vol_sh |   .0751728   .0998811     0.75   0.452    -.1207059    .2710515
ww1_awards_pop10_is |  -.0006187    .210489    -0.00   0.998    -.4134128    .4121754
             lpop30 |  -.1611097   .0435412    -3.70   0.000    -.2464993   -.0757201
           c30unemp |  -.8169138   .6627707    -1.23   0.218    -2.116686    .4828585
          c30urban1 |   .1771759   .0465377     3.81   0.000     .0859099    .2684419
            c30farm |   .2465981   .2870799     0.86   0.390    -.3163997     .809596
            iYf_T29 |   .3525879   .0883672     3.99   0.000     .1792894    .5258865
           MEAN9628 |   .0100877   .0034468     2.93   0.003      .003328    .0168473
             c30men |  -1.191692   2.000681    -0.60   0.551    -5.115266    2.731883
           c30black |   -.215837   .2792525    -0.77   0.440    -.7634843    .3318104
             c30jap |  -5.539735   5.543323    -1.00   0.318    -16.41085    5.331381
             c30deu |   1.303943   .8235434     1.58   0.113    -.3111239    2.919009
             c30ita |   -1.53979      1.096    -1.40   0.160    -3.689176     .609597
             c30vet |   .8401071   .7049484     1.19   0.234    -.5423807    2.222595
           lc40wage |   .0019093   .1456337     0.01   0.990    -.2836958    .2875144
      iwarconpro_PC |  -.0096844   .0335999    -0.29   0.773    -.0755778     .056209
      _Istateicps_2 |  -1.373812   .3463453    -3.97   0.000    -2.053037   -.6945879
      _Istateicps_3 |  -.0551746   .1341207    -0.41   0.681    -.3182012    .2078521
      _Istateicps_4 |   -1.28811   .1786803    -7.21   0.000    -1.638524   -.9376971
      _Istateicps_5 |  -.2992138   .1119524    -2.67   0.008    -.5187658   -.0796619
      _Istateicps_6 |   -.947329   .2033236    -4.66   0.000    -1.346071   -.5485871
     _Istateicps_11 |  -.4195853   .3367627    -1.25   0.213    -1.080017    .2408465
     _Istateicps_12 |  -.3452998   .1931462    -1.79   0.074    -.7240824    .0334828
     _Istateicps_13 |  -1.181832   .1929695    -6.12   0.000    -1.560268   -.8033956
     _Istateicps_14 |  -1.227971   .1752846    -7.01   0.000    -1.571725   -.8842168
     _Istateicps_21 |  -.2238471    .283582    -0.79   0.430    -.7799851    .3322909
     _Istateicps_22 |  -.5484992   .2650591    -2.07   0.039    -1.068312   -.0286867
     _Istateicps_23 |  -.8093401    .248417    -3.26   0.001    -1.296515   -.3221647
     _Istateicps_24 |  -.8317573   .2318486    -3.59   0.000     -1.28644   -.3770746
     _Istateicps_25 |  -.5912445   .2686053    -2.20   0.028    -1.118011   -.0644775
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.034151   .2056774    -5.03   0.000    -1.437509   -.6307933
     _Istateicps_41 |  -.4623157   .2099907    -2.20   0.028    -.8741325   -.0504988
     _Istateicps_42 |  -1.069809   .2370395    -4.51   0.000    -1.534671    -.604946
     _Istateicps_43 |  -.8616393   .2817317    -3.06   0.002    -1.414149   -.3091299
     _Istateicps_44 |  -.4043141   .2198372    -1.84   0.066     -.835441    .0268128
     _Istateicps_45 |  -.5269583   .3072948    -1.71   0.087      -1.1296    .0756835
     _Istateicps_46 |  -1.159794   .2663571    -4.35   0.000    -1.682151   -.6374356
     _Istateicps_47 |  -.5831494   .2561249    -2.28   0.023    -1.085441   -.0808581
     _Istateicps_48 |  -.6546708   .2624541    -2.49   0.013    -1.169374   -.1399671
     _Istateicps_49 |   .2521823   .4542882     0.56   0.579    -.6387311    1.143096
     _Istateicps_51 |  -1.010468    .373443    -2.71   0.007    -1.742834   -.2781013
     _Istateicps_52 |  -.2977787   .2031552    -1.47   0.143    -.6961903    .1006329
     _Istateicps_53 |  -.7673778   .3866354    -1.98   0.047    -1.525616   -.0091397
     _Istateicps_54 |  -1.013343   .2264875    -4.47   0.000    -1.457512   -.5691745
     _Istateicps_56 |  -1.502713   .2425247    -6.20   0.000    -1.978332   -1.027093
     _Istateicps_61 |  -.5670448   .4043243    -1.40   0.161    -1.359973    .2258833
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.2802309     .32743    -0.86   0.392    -.9223601    .3618982
     _Istateicps_64 |   .3285652   .4449503     0.74   0.460    -.5440354    1.201166
     _Istateicps_65 |  -.4290841   .4204157    -1.02   0.308    -1.253569    .3954011
     _Istateicps_66 |  -.5708659   .3531234    -1.62   0.106    -1.263383    .1216511
     _Istateicps_67 |  -.4243296   .2963075    -1.43   0.152    -1.005424    .1567647
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4237805   .2657894     1.59   0.111    -.0974642    .9450251
     _Istateicps_72 |  -.3492768   .3743907    -0.93   0.351    -1.083502     .384948
     _Istateicps_73 |  -.2979284   .3555722    -0.84   0.402    -.9952479    .3993911
     _Istateicps_98 |          0  (omitted)
              _cons |   6.848479   1.803146     3.80   0.000     3.312296    10.38466
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   260) =    12.72
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   260)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   260)
iAGRI_PF     |      12.72    0.0000 |       26.23   0.0000 |       12.72

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.08    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      68.45
Kleibergen-Paap Wald rk F statistic                                12.72

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,260)=       7.41     P-val=0.0007
Anderson-Rubin Wald test           Chi-sq(2)=     15.29     P-val=0.0005
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        261
Number of observations               N  =       2112
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    261                Number of obs =     2112
                                                      F( 55,   260) =   196.42
                                                      Prob > F      =   0.0000
Total (centered) SS     =  3171.473413                Centered R2   =   0.5395
Total (uncentered) SS   =  3195.030523                Uncentered R2 =   0.5429
Residual SS             =  1460.417831                Root MSE      =    .8316

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .7591078   .1523287     4.98   0.000     .4605491    1.057667
         ww1_vol_sh |   .4691134   .1446802     3.24   0.001     .1855455    .7526813
ww1_awards_pop10_is |   .3474647   .2863965     1.21   0.225    -.2138621    .9087915
             lpop30 |  -.0417147   .0811348    -0.51   0.607     -.200736    .1173067
           c30unemp |   1.591267   1.085406     1.47   0.143    -.5360892    3.718624
          c30urban1 |  -.0228591   .0650192    -0.35   0.725    -.1502945    .1045763
            c30farm |  -.7822751   .2795259    -2.80   0.005    -1.330136   -.2344143
            iYf_T29 |  -.1216723   .0930219    -1.31   0.191    -.3039919    .0606473
           MEAN9628 |  -.0070505   .0034691    -2.03   0.042    -.0138497   -.0002513
             c30men |  -5.620004   1.927711    -2.92   0.004    -9.398248    -1.84176
           c30black |  -.8861866   .2196976    -4.03   0.000    -1.316786   -.4555873
             c30jap |   12.96029   6.304577     2.06   0.040     .6035426    25.31703
             c30deu |  -.2906958   .9018973    -0.32   0.747    -2.058382     1.47699
             c30ita |  -.0178372   1.356845    -0.01   0.990    -2.677205    2.641531
             c30vet |   2.811044   .8551288     3.29   0.001     1.135023    4.487066
           lc40wage |   .9667916   .1642917     5.88   0.000     .6447858    1.288797
      iwarconpro_PC |   .2297929   .0430004     5.34   0.000     .1455138    .3140721
      _Istateicps_2 |   .5675736   .3185989     1.78   0.075    -.0568687    1.192016
      _Istateicps_3 |  -.0728045   .2232111    -0.33   0.744    -.5102902    .3646812
      _Istateicps_4 |   .9152039   .2720182     3.36   0.001     .3820581     1.44835
      _Istateicps_5 |   .1231608    .183755     0.67   0.503    -.2369924     .483314
      _Istateicps_6 |   .9518192   .3308908     2.88   0.004     .3032851    1.600353
     _Istateicps_11 |   .0349061   .3032495     0.12   0.908     -.559452    .6292642
     _Istateicps_12 |  -.2086409   .2146224    -0.97   0.331     -.629293    .2120112
     _Istateicps_13 |   .5678838   .2567247     2.21   0.027     .0647127    1.071055
     _Istateicps_14 |   .1963029   .2458134     0.80   0.425    -.2854826    .6780884
     _Istateicps_21 |  -.2755762   .2719164    -1.01   0.311    -.8085225    .2573702
     _Istateicps_22 |  -.4174723    .255548    -1.63   0.102    -.9183371    .0833925
     _Istateicps_23 |  -.1088266   .2886304    -0.38   0.706    -.6745319    .4568786
     _Istateicps_24 |  -.1434885   .2372565    -0.60   0.545    -.6085028    .3215258
     _Istateicps_25 |  -.0757791   .3224419    -0.24   0.814    -.7077537    .5561954
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .3696129   .2827376     1.31   0.191    -.1845427    .9237685
     _Istateicps_41 |   .3907025   .2521042     1.55   0.121    -.1034127    .8848177
     _Istateicps_42 |   -.519745   .2338845    -2.22   0.026    -.9781503   -.0613398
     _Istateicps_43 |   .8827614   .2821551     3.13   0.002     .3297475    1.435775
     _Istateicps_44 |   .2531213   .2539003     1.00   0.319    -.2445142    .7507568
     _Istateicps_45 |  -.3145039   .2864893    -1.10   0.272    -.8760126    .2470048
     _Istateicps_46 |    .801367   .2920032     2.74   0.006     .2290511    1.373683
     _Istateicps_47 |   .1017992   .2941454     0.35   0.729    -.4747151    .6783135
     _Istateicps_48 |  -.0240389     .25798    -0.09   0.926    -.5296704    .4815925
     _Istateicps_49 |   .6206996   .3362018     1.85   0.065    -.0382438    1.279643
     _Istateicps_51 |   .1335485   .2792671     0.48   0.633    -.4138051     .680902
     _Istateicps_52 |  -.4918741   .2857895    -1.72   0.085    -1.052011     .068263
     _Istateicps_53 |   .2703917   .2589419     1.04   0.296    -.2371251    .7779085
     _Istateicps_54 |   .1587687   .2554842     0.62   0.534    -.3419712    .6595087
     _Istateicps_56 |   .8499279   .3289497     2.58   0.010     .2051983    1.494658
     _Istateicps_61 |  -.5273215   .3429299    -1.54   0.124    -1.199452    .1448087
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0995381   .3084952    -0.32   0.747    -.7041776    .5051013
     _Istateicps_64 |   .8434799   .4173755     2.02   0.043      .025439    1.661521
     _Istateicps_65 |   -.095778   .3584529    -0.27   0.789    -.7983328    .6067768
     _Istateicps_66 |  -.0395192   .2704859    -0.15   0.884    -.5696619    .4906235
     _Istateicps_67 |  -.3992585   .2752114    -1.45   0.147    -.9386629    .1401458
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0356588   .3493588     0.10   0.919    -.6490719    .7203896
     _Istateicps_72 |    .018695   .3396257     0.06   0.956    -.6469591    .6843491
     _Istateicps_73 |   .5867064   .2724112     2.15   0.031     .0527902    1.120623
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.368952   2.094049    -3.52   0.000    -11.47321   -3.264692
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.076
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               68.450
                         (Kleibergen-Paap rk Wald F statistic):         12.716
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est8 stored)

added macro:
            e(RA_test) : "0.001"

added macro:
       e(y_mean_round) : "-0.106"
(output written to results/tables/AppTab14_robust-dust.tex)

. 
. ***************************************************************************************************
. ****         Tab 16. Inverse of 1930 population                                                    ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg iwarbond_1944_PC    iAGRI_PF   invpop_w99 $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(65, 2956)       =      96.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6689
                                                Root MSE          =     .39332

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1634116   .0141671    11.53   0.000     .1356332    .1911901
         invpop_w99 |  -184.5555    183.613    -1.01   0.315    -544.5777    175.4667
         ww1_vol_sh |  -.0047009   .0355347    -0.13   0.895    -.0743763    .0649744
ww1_awards_pop10_is |   .2220141   .0827584     2.68   0.007     .0597442     .384284
             lpop30 |  -.0348067   .0250845    -1.39   0.165    -.0839915    .0143781
           c30unemp |  -.3914108   .2601188    -1.50   0.132    -.9014432    .1186216
          c30urban1 |   .0302382   .0256877     1.18   0.239    -.0201294    .0806059
            c30farm |  -.5476498   .1267034    -4.32   0.000    -.7960856    -.299214
            iYf_T29 |   .0538344   .0198248     2.72   0.007     .0149625    .0927063
           MEAN9628 |    .001928   .0009211     2.09   0.036     .0001218    .0037342
             c30men |  -1.155381   .7693169    -1.50   0.133    -2.663832    .3530703
           c30black |  -.2766042   .0869473    -3.18   0.001    -.4470875   -.1061209
             c30jap |   5.041072   1.996429     2.53   0.012      1.12654    8.955603
             c30deu |   .6653588   .1788342     3.72   0.000     .3147067    1.016011
             c30ita |  -.1655397   .5719154    -0.29   0.772    -1.286932     .955853
             c30vet |  -.0237168   1.020109    -0.02   0.981    -2.023913    1.976479
           lc40wage |   .4702399   .0553738     8.49   0.000     .3616647    .5788151
      iwarconpro_PC |    .279945   .0226665    12.35   0.000     .2355014    .3243887
      _Istateicps_2 |  -.0140822   .1506953    -0.09   0.926    -.3095606    .2813962
      _Istateicps_3 |  -.1546608   .1392067    -1.11   0.267    -.4276127    .1182912
      _Istateicps_4 |   .0274497   .1835032     0.15   0.881    -.3323573    .3872567
      _Istateicps_5 |  -.2963751   .3865753    -0.77   0.443    -1.054359     .461609
      _Istateicps_6 |   .0578266   .1381974     0.42   0.676    -.2131462    .3287995
     _Istateicps_11 |   .2971139   .1657931     1.79   0.073    -.0279678    .6221955
     _Istateicps_12 |  -.0678694   .1310619    -0.52   0.605    -.3248513    .1891125
     _Istateicps_13 |   .0720282    .116151     0.62   0.535    -.1557169    .2997732
     _Istateicps_14 |   .1221027   .1203554     1.01   0.310    -.1138862    .3580916
     _Istateicps_21 |   .1011216   .1224134     0.83   0.409    -.1389025    .3411457
     _Istateicps_22 |   .0375645   .1226261     0.31   0.759    -.2028768    .2780058
     _Istateicps_23 |   .0221472   .1240613     0.18   0.858     -.221108    .2654024
     _Istateicps_24 |   -.003588   .1218728    -0.03   0.977    -.2425521    .2353761
     _Istateicps_25 |   .0534091   .1292066     0.41   0.679     -.199935    .3067531
     _Istateicps_31 |   .5446497   .1279179     4.26   0.000     .2938326    .7954668
     _Istateicps_32 |   .4182158   .1308753     3.20   0.001     .1615999    .6748317
     _Istateicps_33 |   .3665899   .1314878     2.79   0.005      .108773    .6244067
     _Istateicps_34 |   .0348904   .1241825     0.28   0.779    -.2086024    .2783833
     _Istateicps_35 |   .5288472   .1315268     4.02   0.000     .2709538    .7867407
     _Istateicps_36 |   .5893088    .148171     3.98   0.000       .29878    .8798375
     _Istateicps_37 |   .3668453   .1341138     2.74   0.006     .1038794    .6298112
     _Istateicps_40 |   .0940444   .1336982     0.70   0.482    -.1681067    .3561954
     _Istateicps_41 |   .0185245   .1310452     0.14   0.888    -.2384247    .2754737
     _Istateicps_42 |  -.3258264   .1378533    -2.36   0.018    -.5961246   -.0555282
     _Istateicps_43 |   .0124022   .1473153     0.08   0.933    -.2764488    .3012531
     _Istateicps_44 |  -.1625156   .1335944    -1.22   0.224     -.424463    .0994319
     _Istateicps_45 |  -.2376266   .1372918    -1.73   0.084    -.5068237    .0315705
     _Istateicps_46 |   -.012366   .1386222    -0.09   0.929    -.2841717    .2594398
     _Istateicps_47 |  -.0722064   .1309082    -0.55   0.581    -.3288868    .1844741
     _Istateicps_48 |  -.3646546   .1490018    -2.45   0.014    -.6568124   -.0724968
     _Istateicps_49 |   .1072756   .1318521     0.81   0.416    -.1512556    .3658068
     _Istateicps_51 |  -.2508159   .1265312    -1.98   0.048    -.4989141   -.0027178
     _Istateicps_52 |  -.0742918   .1541036    -0.48   0.630    -.3764529    .2278693
     _Istateicps_53 |   .1076352   .1326503     0.81   0.417    -.1524611    .3677316
     _Istateicps_54 |  -.1252965   .1279882    -0.98   0.328    -.3762515    .1256586
     _Istateicps_56 |  -.0492556    .128369    -0.38   0.701    -.3009574    .2024461
     _Istateicps_61 |   .0574066   .1588041     0.36   0.718    -.2539711    .3687843
     _Istateicps_62 |   .1210233   .1368268     0.88   0.376    -.1472622    .3893088
     _Istateicps_63 |   .1849864   .1526808     1.21   0.226     -.114385    .4843579
     _Istateicps_64 |   .6046016   .1447689     4.18   0.000     .3207436    .8884595
     _Istateicps_65 |   .1831807   .1922199     0.95   0.341    -.1937178    .5600791
     _Istateicps_66 |  -.1836377   .1546673    -1.19   0.235    -.4869043    .1196288
     _Istateicps_67 |  -.0529436   .1434985    -0.37   0.712    -.3343107    .2284235
     _Istateicps_68 |   .3653208   .1611239     2.27   0.023     .0493944    .6812472
     _Istateicps_71 |   .1386573    .136653     1.01   0.310    -.1292874    .4066019
     _Istateicps_72 |   .5802689   .1389469     4.18   0.000     .3078264    .8527115
     _Istateicps_73 |   .4563916   .1643846     2.78   0.006     .1340718    .7787115
     _Istateicps_98 |          0  (omitted)
              _cons |   1.338625   .5900897     2.27   0.023     .1815961    2.495653
-------------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum iwarbond_1944_PC    if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  reg ww2_vol_pop40       iAGRI_PF   invpop_w99 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =      72.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6247
                                                Root MSE          =     .21195

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0354926   .0073424     4.83   0.000      .021094    .0498911
         invpop_w99 |   244.3406   126.5704     1.93   0.054    -3.865131    492.5463
         ww1_vol_sh |   .1116148    .026069     4.28   0.000     .0604933    .1627363
ww1_awards_pop10_is |   .1339335   .1020326     1.31   0.189    -.0661533    .3340204
             lpop30 |   .0050625   .0105756     0.48   0.632    -.0156764    .0258014
           c30unemp |   .6156012   .2028234     3.04   0.002     .2178627     1.01334
          c30urban1 |   .0134229   .0131461     1.02   0.307    -.0123567    .0392025
            c30farm |  -.0699653   .0534889    -1.31   0.191    -.1748576     .034927
            iYf_T29 |  -.0281215   .0115924    -2.43   0.015    -.0508542   -.0053888
           MEAN9628 |  -.0004218   .0005361    -0.79   0.431    -.0014731    .0006295
             c30men |  -1.332561     .50312    -2.65   0.008    -2.319184   -.3459385
           c30black |  -.4336675   .0372103   -11.65   0.000    -.5066371   -.3606979
             c30jap |   .8496712   1.195823     0.71   0.477    -1.495349    3.194691
             c30deu |  -.7310359   .1480415    -4.94   0.000    -1.021347   -.4407253
             c30ita |  -.3094742   .2453646    -1.26   0.207    -.7906362    .1716878
             c30vet |   1.106519   .3105457     3.56   0.000     .4975366    1.715502
           lc40wage |   .2034272   .0328016     6.20   0.000      .139103    .2677513
      iwarconpro_PC |  -.0360525    .007776    -4.64   0.000    -.0513014   -.0208036
      _Istateicps_2 |   .0044688   .0570101     0.08   0.938    -.1073285    .1162661
      _Istateicps_3 |   .0185942   .0554242     0.34   0.737    -.0900932    .1272816
      _Istateicps_4 |   .2413851   .0776439     3.11   0.002     .0891247    .3936455
      _Istateicps_5 |   .0044955   .0599141     0.08   0.940    -.1129965    .1219876
      _Istateicps_6 |   .3070398   .0765594     4.01   0.000     .1569063    .4571734
     _Istateicps_11 |  -.1698138   .0655778    -2.59   0.010    -.2984124   -.0412151
     _Istateicps_12 |  -.0905566   .0504217    -1.80   0.073    -.1894341    .0083209
     _Istateicps_13 |   .0498992   .0506636     0.98   0.325    -.0494527    .1492511
     _Istateicps_14 |  -.1949203   .0492284    -3.96   0.000    -.2914576    -.098383
     _Istateicps_21 |   .0264309   .0532992     0.50   0.620    -.0780894    .1309512
     _Istateicps_22 |  -.0751099   .0523704    -1.43   0.152    -.1778088    .0275889
     _Istateicps_23 |  -.0304944   .0592163    -0.51   0.607    -.1466181    .0856292
     _Istateicps_24 |  -.0879741   .0521667    -1.69   0.092    -.1902733    .0143252
     _Istateicps_25 |   .2028535   .0623489     3.25   0.001     .0805868    .3251201
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1422663   .0540119    -2.63   0.008    -.2481841   -.0363484
     _Istateicps_41 |   .0924086   .0565587     1.63   0.102    -.0185036    .2033207
     _Istateicps_42 |  -.2264173    .054436    -4.16   0.000    -.3331667   -.1196678
     _Istateicps_43 |   .2225142    .061297     3.63   0.000     .1023103    .3427181
     _Istateicps_44 |   .1713659   .0548953     3.12   0.002     .0637157    .2790161
     _Istateicps_45 |  -.1778318   .0548127    -3.24   0.001    -.2853201   -.0703436
     _Istateicps_46 |   .1456493   .0584846     2.49   0.013     .0309606    .2603381
     _Istateicps_47 |  -.0138274   .0531972    -0.26   0.795    -.1181476    .0904928
     _Istateicps_48 |   .0696762   .0589698     1.18   0.238     -.045964    .1853165
     _Istateicps_49 |   .5204545   .0572179     9.10   0.000     .4082496    .6326593
     _Istateicps_51 |   .0573847   .0540884     1.06   0.289     -.048683    .1634525
     _Istateicps_52 |  -.2863507    .056376    -5.08   0.000    -.3969045   -.1757969
     _Istateicps_53 |   .1503037   .0570451     2.63   0.008     .0384378    .2621696
     _Istateicps_54 |  -.0283594   .0552999    -0.51   0.608     -.136803    .0800841
     _Istateicps_56 |   .1134035   .0588365     1.93   0.054    -.0019753    .2287824
     _Istateicps_61 |    -.47894    .063465    -7.55   0.000    -.6033954   -.3544845
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0639956   .0633512    -1.01   0.313    -.1882278    .0602365
     _Istateicps_64 |   .1734993   .0661733     2.62   0.009     .0437329    .3032657
     _Istateicps_65 |  -.1762891   .0926173    -1.90   0.057    -.3579124    .0053342
     _Istateicps_66 |   .0984028   .0708517     1.39   0.165     -.040538    .2373437
     _Istateicps_67 |  -.2148452   .0625462    -3.43   0.001    -.3374988   -.0921916
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0099022   .0680257     0.15   0.884    -.1234968    .1433012
     _Istateicps_72 |  -.1487097   .0642353    -2.32   0.021    -.2746757   -.0227438
     _Istateicps_73 |   .0593512   .0644654     0.92   0.357    -.0670661    .1857684
     _Istateicps_98 |          0  (omitted)
              _cons |  -.3177093   .3222972    -0.99   0.324    -.9497369    .3143184
-------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum ww2_vol_pop40       if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  reg ww2_awards_pop40_is iAGRI_PF   invpop_w99 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =      12.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1896
                                                Root MSE          =     .11631

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0125535   .0038487     3.26   0.001     .0050063    .0201007
         invpop_w99 |   120.9914   133.7135     0.90   0.366    -141.2218    383.2047
         ww1_vol_sh |   .0572324    .021136     2.71   0.007     .0157846    .0986802
ww1_awards_pop10_is |   .0388527   .0334842     1.16   0.246    -.0268102    .1045156
             lpop30 |   -.008621   .0088183    -0.98   0.328    -.0259137    .0086718
           c30unemp |   .1557799   .1549844     1.01   0.315    -.1481459    .4597057
          c30urban1 |   .0088916   .0073109     1.22   0.224    -.0054452    .0232284
            c30farm |   .0360615   .0290391     1.24   0.214    -.0208844    .0930073
            iYf_T29 |   .0130301   .0097292     1.34   0.181     -.006049    .0321091
           MEAN9628 |  -.0000934    .000342    -0.27   0.785     -.000764    .0005772
             c30men |  -.5797973   .2657134    -2.18   0.029    -1.100864   -.0587309
           c30black |  -.0500486   .0210754    -2.37   0.018    -.0913777   -.0087195
             c30jap |   .9409578   1.282047     0.73   0.463    -1.573147    3.455063
             c30deu |   .0457445   .1164565     0.39   0.695    -.1826277    .2741167
             c30ita |  -.0469348     .18894    -0.25   0.804    -.4174478    .3235783
             c30vet |   .2656059   .1102995     2.41   0.016     .0493075    .4819042
           lc40wage |   .0531412   .0181487     2.93   0.003     .0175515     .088731
      iwarconpro_PC |   .0038078   .0045391     0.84   0.402    -.0050935     .012709
      _Istateicps_2 |  -.0248213   .0323741    -0.77   0.443    -.0883071    .0386646
      _Istateicps_3 |  -.0101969   .0248104    -0.41   0.681    -.0588503    .0384565
      _Istateicps_4 |  -.0245193   .0379236    -0.65   0.518    -.0988877    .0498492
      _Istateicps_5 |   .0630583   .0565722     1.11   0.265    -.0478802    .1739969
      _Istateicps_6 |  -.0223048   .0390741    -0.57   0.568    -.0989295    .0543199
     _Istateicps_11 |  -.0455562   .0271071    -1.68   0.093    -.0987134     .007601
     _Istateicps_12 |  -.0366544   .0240447    -1.52   0.128    -.0838062    .0104974
     _Istateicps_13 |  -.0041747   .0226638    -0.18   0.854    -.0486187    .0402692
     _Istateicps_14 |   -.031074   .0240638    -1.29   0.197    -.0782633    .0161153
     _Istateicps_21 |  -.0409724    .028965    -1.41   0.157     -.097773    .0158281
     _Istateicps_22 |  -.0640556   .0287894    -2.22   0.026    -.1205119   -.0075993
     _Istateicps_23 |  -.0369352   .0341103    -1.08   0.279    -.1038258    .0299554
     _Istateicps_24 |   -.021533   .0285558    -0.75   0.451    -.0775312    .0344651
     _Istateicps_25 |  -.0708428   .0416899    -1.70   0.089     -.152597    .0109115
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0205425   .0265688    -0.77   0.439    -.0726442    .0315592
     _Istateicps_41 |  -.0295876   .0255188    -1.16   0.246    -.0796302    .0204549
     _Istateicps_42 |  -.0406431   .0254574    -1.60   0.111    -.0905654    .0092791
     _Istateicps_43 |   .0112359   .0339445     0.33   0.741    -.0553295    .0778013
     _Istateicps_44 |  -.0385372   .0264003    -1.46   0.145    -.0903084     .013234
     _Istateicps_45 |  -.0290219   .0252284    -1.15   0.250    -.0784951    .0204513
     _Istateicps_46 |   .0003092   .0270813     0.01   0.991    -.0527974    .0534157
     _Istateicps_47 |  -.0403207   .0250335    -1.61   0.107    -.0894116    .0087702
     _Istateicps_48 |   -.024545    .027111    -0.91   0.365    -.0777099    .0286199
     _Istateicps_49 |  -.0000696   .0255174    -0.00   0.998    -.0501094    .0499702
     _Istateicps_51 |  -.0282845   .0257011    -1.10   0.271    -.0786846    .0221156
     _Istateicps_52 |  -.0255261   .0349937    -0.73   0.466     -.094149    .0430968
     _Istateicps_53 |  -.0119834   .0260531    -0.46   0.646    -.0630739     .039107
     _Istateicps_54 |  -.0311145   .0252675    -1.23   0.218    -.0806643    .0184353
     _Istateicps_56 |   -.012208   .0264483    -0.46   0.644    -.0640733    .0396574
     _Istateicps_61 |   .0341256   .0412874     0.83   0.409    -.0468393    .1150905
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0044104   .0446037     0.10   0.921    -.0830578    .0918787
     _Istateicps_64 |   .1186158   .0468304     2.53   0.011     .0267811    .2104505
     _Istateicps_65 |   .0021921   .0672872     0.03   0.974    -.1297586    .1341427
     _Istateicps_66 |  -.0018099   .0315898    -0.06   0.954    -.0637578    .0601381
     _Istateicps_67 |   .0068865   .0431171     0.16   0.873    -.0776665    .0914396
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0684364   .0557331     1.23   0.220    -.0408567    .1777294
     _Istateicps_72 |  -.0114764   .0391473    -0.29   0.769    -.0882445    .0652917
     _Istateicps_73 |   .0300993   .0364679     0.83   0.409    -.0414146    .1016131
     _Istateicps_98 |          0  (omitted)
              _cons |  -.0043449   .1744775    -0.02   0.980    -.3464967     .337807
-------------------------------------------------------------------------------------
(est3 stored)

.                 qui: sum ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  reg pc1                 iAGRI_PF   invpop_w99 $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(56, 2272)       =     103.73
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6538
                                                Root MSE          =     .74862

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2301757    .026084     8.82   0.000     .1790248    .2813266
         invpop_w99 |   631.4541   684.6663     0.92   0.356    -711.1825    1974.091
         ww1_vol_sh |   .4547864   .1178959     3.86   0.000     .2235916    .6859812
ww1_awards_pop10_is |   .5921046   .2702089     2.19   0.029     .0622226    1.121987
             lpop30 |  -.1027741   .0488299    -2.10   0.035    -.1985299   -.0070183
           c30unemp |   1.621966    .888271     1.83   0.068    -.1199416    3.363873
          c30urban1 |   .1332889   .0464031     2.87   0.004     .0422921    .2242857
            c30farm |  -.3919281   .1905542    -2.06   0.040    -.7656066   -.0182496
            iYf_T29 |     .06164   .0555639     1.11   0.267    -.0473212    .1706013
           MEAN9628 |   .0021101   .0020273     1.04   0.298    -.0018655    .0060856
             c30men |  -6.639269   1.536868    -4.32   0.000     -9.65308   -3.625458
           c30black |  -1.176175   .1423001    -8.27   0.000    -1.455227    -.897123
             c30jap |   11.38453   6.766499     1.68   0.093    -1.884635    24.65369
             c30deu |  -.1171806   .6454983    -0.18   0.856    -1.383008    1.148647
             c30ita |  -.6901306   1.188529    -0.58   0.562    -3.020847    1.640585
             c30vet |    3.86781   .7845918     4.93   0.000     2.329218    5.406401
           lc40wage |   1.021415    .123563     8.27   0.000     .7791071    1.263723
      iwarconpro_PC |   .2272979   .0317554     7.16   0.000     .1650254    .2895705
      _Istateicps_2 |  -.1134114   .2153524    -0.53   0.599    -.5357192    .3088965
      _Istateicps_3 |  -.1167352   .2170903    -0.54   0.591    -.5424512    .3089808
      _Istateicps_4 |   .3154412   .2788108     1.13   0.258    -.2313092    .8621917
      _Istateicps_5 |  -.0372521    .475193    -0.08   0.938    -.9691098    .8946055
      _Istateicps_6 |   .5024787   .2707593     1.86   0.064    -.0284827     1.03344
     _Istateicps_11 |  -.1645111   .2029328    -0.81   0.418     -.562464    .2334418
     _Istateicps_12 |   -.365155   .1869682    -1.95   0.051    -.7318012    .0014913
     _Istateicps_13 |   .1348996   .1756616     0.77   0.443    -.2095743    .4793735
     _Istateicps_14 |  -.3327074   .1822301    -1.83   0.068    -.6900621    .0246473
     _Istateicps_21 |  -.0112889    .202156    -0.06   0.955    -.4077187    .3851408
     _Istateicps_22 |  -.3511565     .20221    -1.74   0.083     -.747692    .0453791
     _Istateicps_23 |  -.1560542   .2299238    -0.68   0.497    -.6069368    .2948283
     _Istateicps_24 |  -.2296007   .2013601    -1.14   0.254    -.6244695    .1652682
     _Istateicps_25 |   .0920883   .2575775     0.36   0.721    -.4130234    .5971999
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2369502   .2026584    -1.17   0.242    -.6343651    .1604646
     _Istateicps_41 |   .0699529   .1985706     0.35   0.725    -.3194458    .4593516
     _Istateicps_42 |  -.8304081   .2013576    -4.12   0.000    -1.225272   -.4355441
     _Istateicps_43 |   .4095423   .2385352     1.72   0.086    -.0582273     .877312
     _Istateicps_44 |  -.0032821   .2007196    -0.02   0.987    -.3968949    .3903308
     _Istateicps_45 |    -.64317   .1978818    -3.25   0.001    -1.031218   -.2551221
     _Istateicps_46 |   .2112221   .2093939     1.01   0.313    -.1994012    .6218454
     _Istateicps_47 |  -.2370025   .1969007    -1.20   0.229    -.6231264    .1491214
     _Istateicps_48 |  -.3333095   .2094113    -1.59   0.112    -.7439668    .0773478
     _Istateicps_49 |   .9914667   .2007617     4.94   0.000     .5977713    1.385162
     _Istateicps_51 |  -.2004545   .1965417    -1.02   0.308    -.5858745    .1849655
     _Istateicps_52 |  -.6315241   .2501488    -2.52   0.012    -1.122068   -.1409801
     _Istateicps_53 |   .3335355   .1981039     1.68   0.092    -.0549479     .722019
     _Istateicps_54 |  -.2536675   .1955277    -1.30   0.195     -.637099     .129764
     _Istateicps_56 |   .0961268   .2047644     0.47   0.639    -.3054179    .4976715
     _Istateicps_61 |  -.6096075   .2705505    -2.25   0.024    -1.140159   -.0790557
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0930881   .2675451     0.35   0.728    -.4315701    .6177463
     _Istateicps_64 |   1.366175   .2665217     5.13   0.000     .8435234    1.888826
     _Istateicps_65 |   -.117768   .4303242    -0.27   0.784    -.9616375    .7261015
     _Istateicps_66 |   .0197125    .260578     0.08   0.940    -.4912833    .5307083
     _Istateicps_67 |  -.3598609   .2731541    -1.32   0.188    -.8955185    .1757967
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4414468   .3156808     1.40   0.162    -.1776061      1.0605
     _Istateicps_72 |   .2075901   .2491799     0.83   0.405     -.281054    .6962341
     _Istateicps_73 |   .6430978   .2730525     2.36   0.019     .1076396    1.178556
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.535819   1.139514    -3.98   0.000    -6.770416   -2.301222
-------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum pc1                 if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. eststo: xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) invpop_w99 $control if sample_ols == 1                     
>     , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   3022
Number of clusters (CLIMDIVX) =    339
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2860731   .0595939     4.80   0.000     .1692234    .4029229
          iAGRI_T73 |   .2983519   .0794427     3.76   0.000     .1425832    .4541206
         invpop_w99 |   221.4904   339.5257     0.65   0.514    -444.2405    887.2213
         ww1_vol_sh |   .0021832   .0802699     0.03   0.978    -.1552074    .1595737
ww1_awards_pop10_is |   .0735062   .1515852     0.48   0.628    -.2237171    .3707294
             lpop30 |  -.1494986   .0443126    -3.37   0.001    -.2363853    -.062612
           c30unemp |  -1.478345   .6203608    -2.38   0.017    -2.694728   -.2619614
          c30urban1 |   .1532512   .0424687     3.61   0.000     .0699801    .2365224
            c30farm |   .3429276   .2951643     1.16   0.245     -.235821    .9216761
            iYf_T29 |   .2844953   .0720959     3.95   0.000      .143132    .4258586
           MEAN9628 |    .008661   .0029988     2.89   0.004     .0027811    .0145409
             c30men |  -1.298034   1.625263    -0.80   0.425    -4.484796    1.888728
           c30black |  -.1957894   .2897602    -0.68   0.499    -.7639417    .3723629
             c30jap |   .3701466   4.422827     0.08   0.933    -8.301987    9.042281
             c30deu |   .6275641   .6034098     1.04   0.298    -.5555821     1.81071
             c30ita |  -1.410803   1.024014    -1.38   0.168    -3.418656    .5970509
             c30vet |   1.545246   .7070155     2.19   0.029     .1589531    2.931539
           lc40wage |   .0741403   .1448531     0.51   0.609    -.2098829    .3581635
      iwarconpro_PC |  -.0141765   .0296138    -0.48   0.632    -.0722424    .0438893
      _Istateicps_2 |  -1.431408   .3424469    -4.18   0.000    -2.102867   -.7599498
      _Istateicps_3 |  -.0552322   .1310343    -0.42   0.673      -.31216    .2016956
      _Istateicps_4 |  -1.372271   .1622883    -8.46   0.000     -1.69048   -1.054061
      _Istateicps_5 |  -.2878202   .1148404    -2.51   0.012    -.5129955   -.0626449
      _Istateicps_6 |  -1.027123   .1996455    -5.14   0.000    -1.418582   -.6356649
     _Istateicps_11 |  -.4335878   .3307033    -1.31   0.190     -1.08202    .2148444
     _Istateicps_12 |  -.2876602   .1817321    -1.58   0.114    -.6439946    .0686742
     _Istateicps_13 |  -1.214776   .1931554    -6.29   0.000    -1.593509   -.8360435
     _Istateicps_14 |   -1.24551   .1746592    -7.13   0.000    -1.587977   -.9030443
     _Istateicps_21 |  -.2481271   .2801233    -0.89   0.376    -.7973836    .3011294
     _Istateicps_22 |  -.5838262   .2632165    -2.22   0.027    -1.099932     -.06772
     _Istateicps_23 |  -.8603575   .2401566    -3.58   0.000    -1.331249   -.3894663
     _Istateicps_24 |  -.8474441   .2302266    -3.68   0.000    -1.298865   -.3960234
     _Istateicps_25 |  -.5720232   .2529193    -2.26   0.024    -1.067939   -.0761075
     _Istateicps_31 |  -.0173028   .2402245    -0.07   0.943    -.4883272    .4537216
     _Istateicps_32 |    .116688    .329339     0.35   0.723    -.5290691     .762445
     _Istateicps_33 |  -.2855448   .3124002    -0.91   0.361    -.8980888    .3269993
     _Istateicps_34 |  -.7815168   .2617446    -2.99   0.003    -1.294737   -.2682965
     _Istateicps_35 |    .064843   .3247277     0.20   0.842    -.5718723    .7015583
     _Istateicps_36 |   1.153553   .2667343     4.32   0.000     .6305492    1.676557
     _Istateicps_37 |   .4769034   .2906192     1.64   0.101    -.0929331     1.04674
     _Istateicps_40 |    -1.1304   .2018783    -5.60   0.000    -1.526236   -.7345634
     _Istateicps_41 |  -.5375439   .2000529    -2.69   0.007     -.929801   -.1452867
     _Istateicps_42 |   -1.16746   .2348028    -4.97   0.000    -1.627854   -.7070667
     _Istateicps_43 |  -.8869607   .2970865    -2.99   0.003    -1.469478   -.3044432
     _Istateicps_44 |   -.480973   .2140942    -2.25   0.025    -.9007618   -.0611842
     _Istateicps_45 |  -.5662376   .2974643    -1.90   0.057    -1.149496    .0170206
     _Istateicps_46 |  -1.231342   .2614107    -4.71   0.000    -1.743907   -.7187763
     _Istateicps_47 |   -.668343   .2582716    -2.59   0.010    -1.174753   -.1619326
     _Istateicps_48 |  -.7423958    .263097    -2.82   0.005    -1.258268   -.2265238
     _Istateicps_49 |  -.0279568   .3037102    -0.09   0.927    -.6234618    .5675481
     _Istateicps_51 |   -1.10836   .3843431    -2.88   0.004    -1.861968   -.3547533
     _Istateicps_52 |  -.3428146   .2016116    -1.70   0.089     -.738128    .0524988
     _Istateicps_53 |  -.4720778   .2863061    -1.65   0.099    -1.033457    .0893017
     _Istateicps_54 |  -1.147365   .2269359    -5.06   0.000    -1.592334    -.702397
     _Istateicps_56 |  -1.605494    .237109    -6.77   0.000     -2.07041   -1.140578
     _Istateicps_61 |  -.7424002   .4045879    -1.83   0.067    -1.535703    .0509025
     _Istateicps_62 |  -.8791209   .3099235    -2.84   0.005    -1.486809   -.2714332
     _Istateicps_63 |  -.4119848   .3117528    -1.32   0.186    -1.023259    .1992898
     _Istateicps_64 |   .1502968   .4000915     0.38   0.707    -.6341895     .934783
     _Istateicps_65 |  -.6179848   .4076606    -1.52   0.130    -1.417312    .1813428
     _Istateicps_66 |  -.3570206   .4015273    -0.89   0.374    -1.144322     .430281
     _Istateicps_67 |  -.5709563   .2836974    -2.01   0.044    -1.127221   -.0146918
     _Istateicps_68 |   .3578217   .3147268     1.14   0.256    -.2592842    .9749275
     _Istateicps_71 |   .2325599   .2403778     0.97   0.333    -.2387649    .7038846
     _Istateicps_72 |  -.5148455   .3193094    -1.61   0.107    -1.140937    .1112458
     _Istateicps_73 |   -.404572    .338452    -1.20   0.232    -1.068198    .2590536
     _Istateicps_98 |          0  (omitted)
              _cons |    6.63995   1.610055     4.12   0.000     3.483007    9.796892
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   338) =    16.51
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   338) =    16.51
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   338)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   338)
iAGRI_PF     |      16.51    0.0000 |       33.85   0.0000 |       16.51

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=16.34    P-val=0.0003

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     133.57
Kleibergen-Paap Wald rk F statistic                                16.51

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,338)=      16.91     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     34.68     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        339
Number of observations               N  =       3022
Number of regressors                 K  =         66
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         67
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 65,   338) =   113.60
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6228
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  521.0204738                Root MSE      =    .4152

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3660054   .0565103     6.48   0.000     .2552473    .4767635
         invpop_w99 |  -262.7696    220.491    -1.19   0.233    -694.9241     169.385
         ww1_vol_sh |   .0001056   .0437782     0.00   0.998    -.0856982    .0859094
ww1_awards_pop10_is |   .1834272   .0863527     2.12   0.034      .014179    .3526754
             lpop30 |  -.0021952   .0324246    -0.07   0.946    -.0657462    .0613558
           c30unemp |  -.1136286   .3234079    -0.35   0.725    -.7474965    .5202393
          c30urban1 |  -.0042836   .0302048    -0.14   0.887    -.0634838    .0549167
            c30farm |  -.6674189   .1641347    -4.07   0.000    -.9891171   -.3457207
            iYf_T29 |  -.0012978   .0311918    -0.04   0.967    -.0624327     .059837
           MEAN9628 |  -.0004095   .0012779    -0.32   0.749    -.0029141     .002095
             c30men |  -.9478386   .9726975    -0.97   0.330    -2.854291    .9586133
           c30black |  -.2239083    .118659    -1.89   0.059    -.4564757    .0086591
             c30jap |   4.194876   2.670571     1.57   0.116    -1.039346    9.429098
             c30deu |   .5149522   .2446217     2.11   0.035     .0355024     .994402
             c30ita |    .069829   .6510974     0.11   0.915    -1.206298    1.345956
             c30vet |  -.4052604   1.070212    -0.38   0.705    -2.502837    1.692316
           lc40wage |   .4297195   .0670445     6.41   0.000     .2983147    .5611244
      iwarconpro_PC |   .2824387   .0264898    10.66   0.000     .2305196    .3343578
      _Istateicps_2 |   .2544692   .1988775     1.28   0.201    -.1353236     .644262
      _Istateicps_3 |  -.1526964   .0932346    -1.64   0.101    -.3354329      .03004
      _Istateicps_4 |   .2705427   .1215732     2.23   0.026     .0322637    .5088218
      _Istateicps_5 |  -.2412335   .0703366    -3.43   0.001    -.3790907   -.1033762
      _Istateicps_6 |   .2634837   .1472066     1.79   0.073    -.0250359    .5520033
     _Istateicps_11 |    .386644   .1547853     2.50   0.012     .0832703    .6900176
     _Istateicps_12 |  -.0118191   .0731486    -0.16   0.872    -.1551879    .1315496
     _Istateicps_13 |   .2474962   .0950787     2.60   0.009     .0611453    .4338471
     _Istateicps_14 |   .3319865   .0987116     3.36   0.001     .1385154    .5254576
     _Istateicps_21 |    .019142   .1032637     0.19   0.853    -.1832511    .2215352
     _Istateicps_22 |   .0235624   .0934877     0.25   0.801    -.1596702     .206795
     _Istateicps_23 |   .0656946   .0929908     0.71   0.480     -.116564    .2479533
     _Istateicps_24 |    .040666   .0856224     0.47   0.635    -.1271508    .2084828
     _Istateicps_25 |   .0278823   .1020645     0.27   0.785    -.1721605     .227925
     _Istateicps_31 |   .3801266   .1090057     3.49   0.000     .1664793    .5937739
     _Istateicps_32 |   .1758248   .1145571     1.53   0.125    -.0487029    .4003526
     _Istateicps_33 |   .2762729   .1107624     2.49   0.013     .0591826    .4933631
     _Istateicps_34 |   .0685353    .092435     0.74   0.458    -.1126339    .2497045
     _Istateicps_35 |   .3327024   .1143567     2.91   0.004     .1085673    .5568374
     _Istateicps_36 |   .2022323   .1826074     1.11   0.268    -.1556717    .5601363
     _Istateicps_37 |   .1073162   .1350982     0.79   0.427    -.1574713    .3721038
     _Istateicps_40 |   .3414153   .1265754     2.70   0.007      .093332    .5894986
     _Istateicps_41 |   .1435502   .1067445     1.34   0.179    -.0656652    .3527656
     _Istateicps_42 |  -.2062038   .1164019    -1.77   0.076    -.4343474    .0219398
     _Istateicps_43 |   .1968624   .1090149     1.81   0.071    -.0168028    .4105276
     _Istateicps_44 |  -.0591404   .1069193    -0.55   0.580    -.2686984    .1504176
     _Istateicps_45 |  -.1215533   .1156831    -1.05   0.293    -.3482881    .1051814
     _Istateicps_46 |   .2020423   .1304129     1.55   0.121    -.0535624    .4576469
     _Istateicps_47 |   .0633163   .1298516     0.49   0.626    -.1911881    .3178206
     _Istateicps_48 |  -.2725465    .125019    -2.18   0.029    -.5175794   -.0275137
     _Istateicps_49 |   .0242074   .1165246     0.21   0.835    -.2041767    .2525915
     _Istateicps_51 |  -.1078982   .1023633    -1.05   0.292    -.3085265    .0927302
     _Istateicps_52 |  -.0002162   .1132446    -0.00   0.998    -.2221716    .2217391
     _Istateicps_53 |   .0678202    .103728     0.65   0.513     -.135483    .2711234
     _Istateicps_54 |   .0421046   .1067403     0.39   0.693    -.1671026    .2513117
     _Istateicps_56 |   .2614439   .1401763     1.87   0.062    -.0132967    .5361845
     _Istateicps_61 |   .1249133   .1472606     0.85   0.396    -.1637123    .4135389
     _Istateicps_62 |   .1392984   .0976116     1.43   0.154    -.0520167    .3306136
     _Istateicps_63 |   .1306729   .1332452     0.98   0.327    -.1304829    .3918288
     _Istateicps_64 |   .4353591   .1245266     3.50   0.000     .1912915    .6794268
     _Istateicps_65 |   .2172809   .1783639     1.22   0.223     -.132306    .5668678
     _Istateicps_66 |  -.2087889   .1422927    -1.47   0.142    -.4876773    .0700996
     _Istateicps_67 |  -.0479915   .1001015    -0.48   0.632    -.2441868    .1482038
     _Istateicps_68 |    .161719   .1520273     1.06   0.287     -.136249    .4596871
     _Istateicps_71 |   .0334783   .1364931     0.25   0.806    -.2340433    .3009999
     _Istateicps_72 |   .5483615   .1070812     5.12   0.000     .3384861    .7582368
     _Istateicps_73 |   .4714071   .1260606     3.74   0.000     .2243329    .7184814
     _Istateicps_98 |          0  (omitted)
              _cons |   .2067875   .9431342     0.22   0.826    -1.641722    2.055297
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.341
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              133.572
                         (Kleibergen-Paap rk Wald F statistic):         16.508
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: invpop_w99 ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp
                      c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap
                      c30deu c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est5 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  iwarbond_1944_PC   if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.658"

. eststo: xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) invpop_w99 $control if sample_ols == 1  & servicecommand   
> != 7, cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2993067   .0610377     4.90   0.000     .1796114    .4190021
          iAGRI_T73 |   .2097381    .101778     2.06   0.039     .0101505    .4093256
         invpop_w99 |   770.2393   368.0477     2.09   0.036     48.49445    1491.984
         ww1_vol_sh |    .059065   .0987149     0.60   0.550    -.1345158    .2526458
ww1_awards_pop10_is |   .0877395   .1824492     0.48   0.631    -.2700451    .4455241
             lpop30 |   -.141592    .050673    -2.79   0.005    -.2409622   -.0422219
           c30unemp |  -1.085989   .6682561    -1.63   0.104    -2.396445    .2244675
          c30urban1 |   .1832594   .0466325     3.93   0.000     .0918127     .274706
            c30farm |   .1447777   .3054021     0.47   0.636    -.4541186    .7436739
            iYf_T29 |   .3413877   .0844977     4.04   0.000      .175687    .5070884
           MEAN9628 |   .0104896   .0032438     3.23   0.001     .0041286    .0168506
             c30men |   -.573987   1.841848    -0.31   0.755    -4.185868    3.037894
           c30black |  -.2630439    .283836    -0.93   0.354    -.8196488    .2935611
             c30jap |  -3.922969   5.238191    -0.75   0.454    -14.19511    6.349171
             c30deu |    .612201   1.015845     0.60   0.547     -1.37988    2.604282
             c30ita |    -1.8434   1.097396    -1.68   0.093    -3.995404    .3086034
             c30vet |   .6791139   .6831359     0.99   0.320    -.6605219     2.01875
           lc40wage |   .0675922   .1575422     0.43   0.668    -.2413496    .3765339
      iwarconpro_PC |  -.0032195   .0336096    -0.10   0.924    -.0691282    .0626892
      _Istateicps_2 |  -1.404188   .3508473    -4.00   0.000    -2.092203   -.7161735
      _Istateicps_3 |  -.0856876   .1348985    -0.64   0.525    -.3502248    .1788496
      _Istateicps_4 |  -1.331214   .1746513    -7.62   0.000    -1.673706   -.9887209
      _Istateicps_5 |  -.2992759   .1166517    -2.57   0.010     -.528031   -.0705207
      _Istateicps_6 |    -.97133   .2040536    -4.76   0.000    -1.371481   -.5711791
     _Istateicps_11 |  -.4364911   .3241319    -1.35   0.178    -1.072117    .1991344
     _Istateicps_12 |  -.3303737   .1917934    -1.72   0.085    -.7064822    .0457349
     _Istateicps_13 |  -1.194062   .1957658    -6.10   0.000    -1.577961   -.8101638
     _Istateicps_14 |  -1.246117   .1778131    -7.01   0.000     -1.59481   -.8974234
     _Istateicps_21 |  -.2185298   .2896037    -0.75   0.451    -.7864453    .3493858
     _Istateicps_22 |  -.5722356   .2683264    -2.13   0.033    -1.098426   -.0460451
     _Istateicps_23 |  -.8392977   .2534925    -3.31   0.001    -1.336399   -.3421966
     _Istateicps_24 |  -.8470984   .2361641    -3.59   0.000    -1.310218   -.3839783
     _Istateicps_25 |  -.5195287   .2882091    -1.80   0.072    -1.084709    .0456521
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.049389   .2080515    -5.04   0.000     -1.45738   -.6413981
     _Istateicps_41 |  -.4264305   .2084338    -2.05   0.041    -.8351711     -.01769
     _Istateicps_42 |  -1.063863   .2405301    -4.42   0.000    -1.535544   -.5921809
     _Istateicps_43 |  -.9026044   .2856591    -3.16   0.002    -1.462785   -.3424243
     _Istateicps_44 |  -.3896536   .2225203    -1.75   0.080     -.826018    .0467108
     _Istateicps_45 |  -.5187074    .305224    -1.70   0.089    -1.117254    .0798396
     _Istateicps_46 |  -1.137793   .2663189    -4.27   0.000    -1.660047   -.6155397
     _Istateicps_47 |  -.5743363   .2577402    -2.23   0.026    -1.079767   -.0689053
     _Istateicps_48 |  -.6478212   .2587359    -2.50   0.012    -1.155205   -.1404376
     _Istateicps_49 |   .0619072    .317518     0.19   0.845    -.5607486     .684563
     _Istateicps_51 |  -1.024801   .3716869    -2.76   0.006    -1.753682   -.2959196
     _Istateicps_52 |   -.304319   .2055117    -1.48   0.139    -.7073292    .0986913
     _Istateicps_53 |   -.376722   .2982594    -1.26   0.207    -.9616114    .2081674
     _Istateicps_54 |  -1.025675   .2320564    -4.42   0.000     -1.48074   -.5706101
     _Istateicps_56 |  -1.527977   .2455843    -6.22   0.000     -2.00957   -1.046384
     _Istateicps_61 |   -.671203   .4049859    -1.66   0.098    -1.465384    .1229782
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4179864     .33855    -1.23   0.217    -1.081886    .2459133
     _Istateicps_64 |   .2311229   .4404374     0.52   0.600    -.6325788    1.094825
     _Istateicps_65 |   -.735442   .4450389    -1.65   0.099    -1.608167    .1372833
     _Istateicps_66 |  -.2356332   .4128622    -0.57   0.568     -1.04526    .5739933
     _Istateicps_67 |  -.5869512   .3068991    -1.91   0.056    -1.188783    .0148808
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3167363   .2618441     1.21   0.227    -.1967423    .8302149
     _Istateicps_72 |  -.4427286   .3540458    -1.25   0.211    -1.137016    .2515585
     _Istateicps_73 |  -.3641021   .3538981    -1.03   0.304    -1.058099    .3298952
     _Istateicps_98 |          0  (omitted)
              _cons |   5.988144   1.802928     3.32   0.001     2.452587    9.523702
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.83    0.0000 |       26.40   0.0000 |       12.83

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.01    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      90.89
Kleibergen-Paap Wald rk F statistic                                12.83

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       4.39     P-val=0.0134
Anderson-Rubin Wald test           Chi-sq(2)=      9.03     P-val=0.0110
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   292.69
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5229
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8926
Residual SS             =  129.7341181                Root MSE      =     .236

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1848046   .0542777     3.40   0.001     .0784223    .2911869
         invpop_w99 |   93.15865     148.96     0.63   0.532    -198.7977     385.115
         ww1_vol_sh |    .106231   .0356163     2.98   0.003     .0364243    .1760377
ww1_awards_pop10_is |   .1030013   .0938599     1.10   0.272    -.0809607    .2869632
             lpop30 |   .0273539     .01779     1.54   0.124    -.0075139    .0622216
           c30unemp |   .7419477   .2848424     2.60   0.009     .1836669    1.300228
          c30urban1 |  -.0180472   .0182859    -0.99   0.324    -.0538868    .0177925
            c30farm |  -.1324393   .0764409    -1.73   0.083    -.2822607    .0173821
            iYf_T29 |  -.0767267   .0268131    -2.86   0.004    -.1292794    -.024174
           MEAN9628 |  -.0024607   .0010406    -2.36   0.018    -.0045003   -.0004211
             c30men |  -1.289453   .6070453    -2.12   0.034     -2.47924   -.0996657
           c30black |  -.3877434   .0661354    -5.86   0.000    -.5173663   -.2581204
             c30jap |   .8936881   1.517862     0.59   0.556    -2.081267    3.868643
             c30deu |   -.850853   .1838967    -4.63   0.000    -1.211284   -.4904221
             c30ita |  -.0992977   .3154448    -0.31   0.753    -.7175581    .5189627
             c30vet |   .9437992   .2842019     3.32   0.001     .3867736    1.500825
           lc40wage |   .1753192   .0449289     3.90   0.000     .0872601    .2633782
      iwarconpro_PC |  -.0360862   .0109233    -3.30   0.001    -.0574955   -.0146769
      _Istateicps_2 |   .1988576   .1077514     1.85   0.065    -.0123313    .4100465
      _Istateicps_3 |   .0227613   .0794942     0.29   0.775    -.1330445    .1785672
      _Istateicps_4 |   .4175129   .1006018     4.15   0.000      .220337    .6146888
      _Istateicps_5 |   .0468523   .0704219     0.67   0.506     -.091172    .1848766
      _Istateicps_6 |   .4464732   .0981723     4.55   0.000      .254059    .6388875
     _Istateicps_11 |  -.1061307   .1072813    -0.99   0.323    -.3163982    .1041367
     _Istateicps_12 |  -.0437724    .096475    -0.45   0.650      -.23286    .1453151
     _Istateicps_13 |   .1747169    .095614     1.83   0.068     -.012683    .3621169
     _Istateicps_14 |  -.0430532   .0937776    -0.46   0.646    -.2268538    .1407475
     _Istateicps_21 |  -.0454079   .0833845    -0.54   0.586    -.2088385    .1180227
     _Istateicps_22 |  -.0946792   .0858485    -1.10   0.270    -.2629391    .0735808
     _Istateicps_23 |  -.0074722   .0953522    -0.08   0.938     -.194359    .1794147
     _Istateicps_24 |   -.060514   .0804336    -0.75   0.452    -.2181611     .097133
     _Istateicps_25 |   .1727027   .0944255     1.83   0.067    -.0123678    .3577732
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0258879    .099598     0.26   0.795    -.1693205    .2210964
     _Istateicps_41 |   .1668392   .0937338     1.78   0.075    -.0168757    .3505542
     _Istateicps_42 |  -.1551531   .0838239    -1.85   0.064     -.319445    .0091388
     _Istateicps_43 |   .3590781   .1026293     3.50   0.000     .1579284    .5602279
     _Istateicps_44 |   .2326623   .0862445     2.70   0.007     .0636262    .4016984
     _Istateicps_45 |  -.1006059   .0983609    -1.02   0.306    -.2933897    .0921778
     _Istateicps_46 |   .2909492   .0975644     2.98   0.003     .0997265    .4821719
     _Istateicps_47 |   .0696023   .0973105     0.72   0.474    -.1211227    .2603273
     _Istateicps_48 |   .1281273   .0958917     1.34   0.181     -.059817    .3160716
     _Istateicps_49 |   .4485202   .0956272     4.69   0.000     .2610944     .635946
     _Istateicps_51 |   .1441687    .125193     1.15   0.249     -.101205    .3895425
     _Istateicps_52 |  -.2403764   .0878544    -2.74   0.006     -.412568   -.0681849
     _Istateicps_53 |   .0996244    .101053     0.99   0.324    -.0984359    .2976847
     _Istateicps_54 |    .075562   .1057215     0.71   0.475    -.1316483    .2827723
     _Istateicps_56 |   .3272494   .1171839     2.79   0.005     .0975731    .5569257
     _Istateicps_61 |   -.445949    .100124    -4.45   0.000    -.6421884   -.2497096
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.110694   .0960505    -1.15   0.249    -.2989496    .0775616
     _Istateicps_64 |   .0297509   .1156956     0.26   0.797    -.1970083    .2565102
     _Istateicps_65 |  -.1373177   .1122888    -1.22   0.221    -.3573998    .0827644
     _Istateicps_66 |   .0557601    .095269     0.59   0.558    -.1309637     .242484
     _Istateicps_67 |  -.2157852   .0871626    -2.48   0.013    -.3866208   -.0449496
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0835367   .1046966    -0.80   0.425    -.2887382    .1216648
     _Istateicps_72 |  -.1835835   .0966954    -1.90   0.058    -.3731029     .005936
     _Istateicps_73 |   .0589245   .0927568     0.64   0.525    -.1228755    .2407245
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.043403   .6924981    -1.51   0.132    -2.400675    .3138678
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.007
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               90.889
                         (Kleibergen-Paap rk Wald F statistic):         12.826
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: invpop_w99 ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp
                      c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap
                      c30deu c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.013"

.                 qui:   sum  ww2_vol_pop40      if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.634"

. eststo: xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) invpop_w99 $control if sample_ols == 1 & servicecommand   !
> = 7 , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2993067   .0610377     4.90   0.000     .1796114    .4190021
          iAGRI_T73 |   .2097381    .101778     2.06   0.039     .0101505    .4093256
         invpop_w99 |   770.2393   368.0477     2.09   0.036     48.49445    1491.984
         ww1_vol_sh |    .059065   .0987149     0.60   0.550    -.1345158    .2526458
ww1_awards_pop10_is |   .0877395   .1824492     0.48   0.631    -.2700451    .4455241
             lpop30 |   -.141592    .050673    -2.79   0.005    -.2409622   -.0422219
           c30unemp |  -1.085989   .6682561    -1.63   0.104    -2.396445    .2244675
          c30urban1 |   .1832594   .0466325     3.93   0.000     .0918127     .274706
            c30farm |   .1447777   .3054021     0.47   0.636    -.4541186    .7436739
            iYf_T29 |   .3413877   .0844977     4.04   0.000      .175687    .5070884
           MEAN9628 |   .0104896   .0032438     3.23   0.001     .0041286    .0168506
             c30men |   -.573987   1.841848    -0.31   0.755    -4.185868    3.037894
           c30black |  -.2630439    .283836    -0.93   0.354    -.8196488    .2935611
             c30jap |  -3.922969   5.238191    -0.75   0.454    -14.19511    6.349171
             c30deu |    .612201   1.015845     0.60   0.547     -1.37988    2.604282
             c30ita |    -1.8434   1.097396    -1.68   0.093    -3.995404    .3086034
             c30vet |   .6791139   .6831359     0.99   0.320    -.6605219     2.01875
           lc40wage |   .0675922   .1575422     0.43   0.668    -.2413496    .3765339
      iwarconpro_PC |  -.0032195   .0336096    -0.10   0.924    -.0691282    .0626892
      _Istateicps_2 |  -1.404188   .3508473    -4.00   0.000    -2.092203   -.7161735
      _Istateicps_3 |  -.0856876   .1348985    -0.64   0.525    -.3502248    .1788496
      _Istateicps_4 |  -1.331214   .1746513    -7.62   0.000    -1.673706   -.9887209
      _Istateicps_5 |  -.2992759   .1166517    -2.57   0.010     -.528031   -.0705207
      _Istateicps_6 |    -.97133   .2040536    -4.76   0.000    -1.371481   -.5711791
     _Istateicps_11 |  -.4364911   .3241319    -1.35   0.178    -1.072117    .1991344
     _Istateicps_12 |  -.3303737   .1917934    -1.72   0.085    -.7064822    .0457349
     _Istateicps_13 |  -1.194062   .1957658    -6.10   0.000    -1.577961   -.8101638
     _Istateicps_14 |  -1.246117   .1778131    -7.01   0.000     -1.59481   -.8974234
     _Istateicps_21 |  -.2185298   .2896037    -0.75   0.451    -.7864453    .3493858
     _Istateicps_22 |  -.5722356   .2683264    -2.13   0.033    -1.098426   -.0460451
     _Istateicps_23 |  -.8392977   .2534925    -3.31   0.001    -1.336399   -.3421966
     _Istateicps_24 |  -.8470984   .2361641    -3.59   0.000    -1.310218   -.3839783
     _Istateicps_25 |  -.5195287   .2882091    -1.80   0.072    -1.084709    .0456521
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.049389   .2080515    -5.04   0.000     -1.45738   -.6413981
     _Istateicps_41 |  -.4264305   .2084338    -2.05   0.041    -.8351711     -.01769
     _Istateicps_42 |  -1.063863   .2405301    -4.42   0.000    -1.535544   -.5921809
     _Istateicps_43 |  -.9026044   .2856591    -3.16   0.002    -1.462785   -.3424243
     _Istateicps_44 |  -.3896536   .2225203    -1.75   0.080     -.826018    .0467108
     _Istateicps_45 |  -.5187074    .305224    -1.70   0.089    -1.117254    .0798396
     _Istateicps_46 |  -1.137793   .2663189    -4.27   0.000    -1.660047   -.6155397
     _Istateicps_47 |  -.5743363   .2577402    -2.23   0.026    -1.079767   -.0689053
     _Istateicps_48 |  -.6478212   .2587359    -2.50   0.012    -1.155205   -.1404376
     _Istateicps_49 |   .0619072    .317518     0.19   0.845    -.5607486     .684563
     _Istateicps_51 |  -1.024801   .3716869    -2.76   0.006    -1.753682   -.2959196
     _Istateicps_52 |   -.304319   .2055117    -1.48   0.139    -.7073292    .0986913
     _Istateicps_53 |   -.376722   .2982594    -1.26   0.207    -.9616114    .2081674
     _Istateicps_54 |  -1.025675   .2320564    -4.42   0.000     -1.48074   -.5706101
     _Istateicps_56 |  -1.527977   .2455843    -6.22   0.000     -2.00957   -1.046384
     _Istateicps_61 |   -.671203   .4049859    -1.66   0.098    -1.465384    .1229782
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4179864     .33855    -1.23   0.217    -1.081886    .2459133
     _Istateicps_64 |   .2311229   .4404374     0.52   0.600    -.6325788    1.094825
     _Istateicps_65 |   -.735442   .4450389    -1.65   0.099    -1.608167    .1372833
     _Istateicps_66 |  -.2356332   .4128622    -0.57   0.568     -1.04526    .5739933
     _Istateicps_67 |  -.5869512   .3068991    -1.91   0.056    -1.188783    .0148808
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3167363   .2618441     1.21   0.227    -.1967423    .8302149
     _Istateicps_72 |  -.4427286   .3540458    -1.25   0.211    -1.137016    .2515585
     _Istateicps_73 |  -.3641021   .3538981    -1.03   0.304    -1.058099    .3298952
     _Istateicps_98 |          0  (omitted)
              _cons |   5.988144   1.802928     3.32   0.001     2.452587    9.523702
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.83    0.0000 |       26.40   0.0000 |       12.83

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.01    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      90.89
Kleibergen-Paap Wald rk F statistic                                12.83

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       7.91     P-val=0.0005
Anderson-Rubin Wald test           Chi-sq(2)=     16.27     P-val=0.0003
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   218.61
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1476
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6140
Residual SS             =  32.32859201                Root MSE      =    .1178

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0483881   .0120526     4.01   0.000     .0247653    .0720108
         invpop_w99 |   84.70808   157.7677     0.54   0.591     -224.511    393.9271
         ww1_vol_sh |   .0559403   .0209788     2.67   0.008     .0148226     .097058
ww1_awards_pop10_is |    .031429   .0379173     0.83   0.407    -.0428875    .1057455
             lpop30 |  -.0032711   .0094424    -0.35   0.729    -.0217779    .0152358
           c30unemp |   .1861028   .1613459     1.15   0.249    -.1301294    .5023349
          c30urban1 |   .0013388   .0087863     0.15   0.879    -.0158819    .0185596
            c30farm |   .0210678   .0344423     0.61   0.541    -.0464379    .0885736
            iYf_T29 |   .0013649   .0114308     0.12   0.905     -.021039    .0237689
           MEAN9628 |  -.0005827   .0003926    -1.48   0.138    -.0013522    .0001867
             c30men |  -.5694513   .2379258    -2.39   0.017    -1.035777   -.1031253
           c30black |  -.0390269   .0228704    -1.71   0.088     -.083852    .0057983
             c30jap |   .9515217   1.182625     0.80   0.421     -1.36638    3.269424
             c30deu |   .0169887   .1222276     0.14   0.889    -.2225729    .2565503
             c30ita |   .0035072   .2102442     0.02   0.987    -.4085638    .4155781
             c30vet |   .2265534    .114911     1.97   0.049     .0013319    .4517749
           lc40wage |   .0463954   .0201033     2.31   0.021     .0069937    .0857971
      iwarconpro_PC |   .0037997   .0044711     0.85   0.395    -.0049636     .012563
      _Istateicps_2 |   .0218316   .0303406     0.72   0.472    -.0376348     .081298
      _Istateicps_3 |  -.0091968   .0176679    -0.52   0.603    -.0438253    .0254317
      _Istateicps_4 |    .017751   .0294979     0.60   0.547    -.0400638    .0755658
      _Istateicps_5 |   .0732239   .0127099     5.76   0.000     .0483129    .0981349
      _Istateicps_6 |   .0111589   .0364755     0.31   0.760    -.0603318    .0826496
     _Istateicps_11 |  -.0302724   .0188402    -1.61   0.108    -.0671985    .0066536
     _Istateicps_12 |  -.0254263   .0164832    -1.54   0.123    -.0577329    .0068802
     _Istateicps_13 |   .0257813   .0224393     1.15   0.251     -.018199    .0697615
     _Istateicps_14 |   .0053738   .0231927     0.23   0.817    -.0400831    .0508306
     _Istateicps_21 |  -.0582136   .0306596    -1.90   0.058    -.1183053    .0018781
     _Istateicps_22 |  -.0687522   .0264343    -2.60   0.009    -.1205624   -.0169419
     _Istateicps_23 |  -.0314099   .0327597    -0.96   0.338    -.0956177    .0327979
     _Istateicps_24 |  -.0149427   .0253896    -0.59   0.556    -.0647054    .0348201
     _Istateicps_25 |  -.0780789   .0405329    -1.93   0.054    -.1575219    .0013642
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0198141   .0253566     0.78   0.435     -.029884    .0695122
     _Istateicps_41 |  -.0117244   .0215944    -0.54   0.587    -.0540486    .0305998
     _Istateicps_42 |  -.0235399   .0207844    -1.13   0.257    -.0642765    .0171967
     _Istateicps_43 |    .044011   .0329942     1.33   0.182    -.0206566    .1086785
     _Istateicps_44 |  -.0238262   .0245189    -0.97   0.331    -.0718823      .02423
     _Istateicps_45 |  -.0104878   .0256063    -0.41   0.682    -.0606752    .0396995
     _Istateicps_46 |   .0351808   .0246666     1.43   0.154    -.0131648    .0835264
     _Istateicps_47 |  -.0202977   .0224214    -0.91   0.365     -.064243    .0236475
     _Istateicps_48 |  -.0105169   .0232471    -0.45   0.651    -.0560804    .0350467
     _Istateicps_49 |  -.0173336   .0271588    -0.64   0.523     -.070564    .0358967
     _Istateicps_51 |  -.0074566   .0246325    -0.30   0.762    -.0557354    .0408223
     _Istateicps_52 |  -.0144923   .0309196    -0.47   0.639    -.0750937     .046109
     _Istateicps_53 |  -.0241464   .0234508    -1.03   0.303    -.0701091    .0218164
     _Istateicps_54 |  -.0061736   .0226552    -0.27   0.785    -.0505769    .0382298
     _Istateicps_56 |   .0391146   .0260463     1.50   0.133    -.0119352    .0901643
     _Istateicps_61 |   .0420434   .0422961     0.99   0.320    -.0408554    .1249422
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0067971   .0411828    -0.17   0.869    -.0875139    .0739197
     _Istateicps_64 |   .0841165    .068937     1.22   0.222    -.0509976    .2192306
     _Istateicps_65 |   .0115451   .0551941     0.21   0.834    -.0966334    .1197236
     _Istateicps_66 |  -.0120441   .0328236    -0.37   0.714    -.0763772    .0522891
     _Istateicps_67 |   .0066609   .0375702     0.18   0.859    -.0669753    .0802972
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0460112   .0553452     0.83   0.406    -.0624634    .1544859
     _Istateicps_72 |   -.019846   .0435031    -0.46   0.648    -.1051105    .0654185
     _Istateicps_73 |   .0299969   .0324173     0.93   0.355    -.0335399    .0935336
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1785099   .2088887    -0.85   0.393    -.5879242    .2309044
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.007
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               90.889
                         (Kleibergen-Paap rk Wald F statistic):         12.826
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: invpop_w99 ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp
                      c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap
                      c30deu c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est7 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  ww2_awards_pop40_is if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.140"

. eststo: xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) invpop_w99 $control if sample_ols == 1 & servicecommand   !
> = 7 , cluster(CLIMDIVX) first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2993067   .0610377     4.90   0.000     .1796114    .4190021
          iAGRI_T73 |   .2097381    .101778     2.06   0.039     .0101505    .4093256
         invpop_w99 |   770.2393   368.0477     2.09   0.036     48.49445    1491.984
         ww1_vol_sh |    .059065   .0987149     0.60   0.550    -.1345158    .2526458
ww1_awards_pop10_is |   .0877395   .1824492     0.48   0.631    -.2700451    .4455241
             lpop30 |   -.141592    .050673    -2.79   0.005    -.2409622   -.0422219
           c30unemp |  -1.085989   .6682561    -1.63   0.104    -2.396445    .2244675
          c30urban1 |   .1832594   .0466325     3.93   0.000     .0918127     .274706
            c30farm |   .1447777   .3054021     0.47   0.636    -.4541186    .7436739
            iYf_T29 |   .3413877   .0844977     4.04   0.000      .175687    .5070884
           MEAN9628 |   .0104896   .0032438     3.23   0.001     .0041286    .0168506
             c30men |   -.573987   1.841848    -0.31   0.755    -4.185868    3.037894
           c30black |  -.2630439    .283836    -0.93   0.354    -.8196488    .2935611
             c30jap |  -3.922969   5.238191    -0.75   0.454    -14.19511    6.349171
             c30deu |    .612201   1.015845     0.60   0.547     -1.37988    2.604282
             c30ita |    -1.8434   1.097396    -1.68   0.093    -3.995404    .3086034
             c30vet |   .6791139   .6831359     0.99   0.320    -.6605219     2.01875
           lc40wage |   .0675922   .1575422     0.43   0.668    -.2413496    .3765339
      iwarconpro_PC |  -.0032195   .0336096    -0.10   0.924    -.0691282    .0626892
      _Istateicps_2 |  -1.404188   .3508473    -4.00   0.000    -2.092203   -.7161735
      _Istateicps_3 |  -.0856876   .1348985    -0.64   0.525    -.3502248    .1788496
      _Istateicps_4 |  -1.331214   .1746513    -7.62   0.000    -1.673706   -.9887209
      _Istateicps_5 |  -.2992759   .1166517    -2.57   0.010     -.528031   -.0705207
      _Istateicps_6 |    -.97133   .2040536    -4.76   0.000    -1.371481   -.5711791
     _Istateicps_11 |  -.4364911   .3241319    -1.35   0.178    -1.072117    .1991344
     _Istateicps_12 |  -.3303737   .1917934    -1.72   0.085    -.7064822    .0457349
     _Istateicps_13 |  -1.194062   .1957658    -6.10   0.000    -1.577961   -.8101638
     _Istateicps_14 |  -1.246117   .1778131    -7.01   0.000     -1.59481   -.8974234
     _Istateicps_21 |  -.2185298   .2896037    -0.75   0.451    -.7864453    .3493858
     _Istateicps_22 |  -.5722356   .2683264    -2.13   0.033    -1.098426   -.0460451
     _Istateicps_23 |  -.8392977   .2534925    -3.31   0.001    -1.336399   -.3421966
     _Istateicps_24 |  -.8470984   .2361641    -3.59   0.000    -1.310218   -.3839783
     _Istateicps_25 |  -.5195287   .2882091    -1.80   0.072    -1.084709    .0456521
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.049389   .2080515    -5.04   0.000     -1.45738   -.6413981
     _Istateicps_41 |  -.4264305   .2084338    -2.05   0.041    -.8351711     -.01769
     _Istateicps_42 |  -1.063863   .2405301    -4.42   0.000    -1.535544   -.5921809
     _Istateicps_43 |  -.9026044   .2856591    -3.16   0.002    -1.462785   -.3424243
     _Istateicps_44 |  -.3896536   .2225203    -1.75   0.080     -.826018    .0467108
     _Istateicps_45 |  -.5187074    .305224    -1.70   0.089    -1.117254    .0798396
     _Istateicps_46 |  -1.137793   .2663189    -4.27   0.000    -1.660047   -.6155397
     _Istateicps_47 |  -.5743363   .2577402    -2.23   0.026    -1.079767   -.0689053
     _Istateicps_48 |  -.6478212   .2587359    -2.50   0.012    -1.155205   -.1404376
     _Istateicps_49 |   .0619072    .317518     0.19   0.845    -.5607486     .684563
     _Istateicps_51 |  -1.024801   .3716869    -2.76   0.006    -1.753682   -.2959196
     _Istateicps_52 |   -.304319   .2055117    -1.48   0.139    -.7073292    .0986913
     _Istateicps_53 |   -.376722   .2982594    -1.26   0.207    -.9616114    .2081674
     _Istateicps_54 |  -1.025675   .2320564    -4.42   0.000     -1.48074   -.5706101
     _Istateicps_56 |  -1.527977   .2455843    -6.22   0.000     -2.00957   -1.046384
     _Istateicps_61 |   -.671203   .4049859    -1.66   0.098    -1.465384    .1229782
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4179864     .33855    -1.23   0.217    -1.081886    .2459133
     _Istateicps_64 |   .2311229   .4404374     0.52   0.600    -.6325788    1.094825
     _Istateicps_65 |   -.735442   .4450389    -1.65   0.099    -1.608167    .1372833
     _Istateicps_66 |  -.2356332   .4128622    -0.57   0.568     -1.04526    .5739933
     _Istateicps_67 |  -.5869512   .3068991    -1.91   0.056    -1.188783    .0148808
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3167363   .2618441     1.21   0.227    -.1967423    .8302149
     _Istateicps_72 |  -.4427286   .3540458    -1.25   0.211    -1.137016    .2515585
     _Istateicps_73 |  -.3641021   .3538981    -1.03   0.304    -1.058099    .3298952
     _Istateicps_98 |          0  (omitted)
              _cons |   5.988144   1.802928     3.32   0.001     2.452587    9.523702
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.83
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.83    0.0000 |       26.40   0.0000 |       12.83

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=19.01    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      90.89
Kleibergen-Paap Wald rk F statistic                                12.83

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=       9.56     P-val=0.0001
Anderson-Rubin Wald test           Chi-sq(2)=     19.67     P-val=0.0001
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         57
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         58
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 56,   265) =   164.88
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5351
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5351
Residual SS             =  1709.917706                Root MSE      =    .8568

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8233333   .1408655     5.84   0.000     .5472419    1.099425
         invpop_w99 |   30.86818    768.685     0.04   0.968    -1475.727    1537.463
         ww1_vol_sh |   .4333986    .144127     3.01   0.003      .150915    .7158823
ww1_awards_pop10_is |   .4692229   .2755404     1.70   0.089    -.0708264    1.009272
             lpop30 |  -.0142193   .0625414    -0.23   0.820    -.1367982    .1083595
           c30unemp |    2.12389   1.128821     1.88   0.060     -.088558    4.336338
          c30urban1 |   .0082709   .0676605     0.12   0.903    -.1243413    .1408831
            c30farm |  -.6401124   .3184482    -2.01   0.044    -1.264259   -.0159654
            iYf_T29 |  -.1314492   .0922933    -1.42   0.154    -.3123407    .0494424
           MEAN9628 |  -.0059895   .0033583    -1.78   0.075    -.0125716    .0005927
             c30men |  -6.468016    1.85101    -3.49   0.000    -10.09593   -2.840103
           c30black |  -.9937364    .235371    -4.22   0.000    -1.455055   -.5324177
             c30jap |   11.55939   6.440471     1.79   0.073    -1.063702    24.18248
             c30deu |  -.5931665   .7455162    -0.80   0.426    -2.054351    .8680184
             c30ita |   .1448173   1.446049     0.10   0.920    -2.689387    2.979021
             c30vet |   3.221387   .9135897     3.53   0.000     1.430785     5.01199
           lc40wage |   .9097533   .1645792     5.53   0.000     .5871841    1.232323
      iwarconpro_PC |   .2271642   .0454755     5.00   0.000      .138034    .3162945
      _Istateicps_2 |    .658818   .3409759     1.93   0.053    -.0094824    1.327118
      _Istateicps_3 |  -.1001808   .2365253    -0.42   0.672    -.5637618    .3634003
      _Istateicps_4 |   1.015127   .2846972     3.57   0.000     .4571307    1.573123
      _Istateicps_5 |   .1310147   .1890101     0.69   0.488    -.2394382    .5014676
      _Istateicps_6 |   1.056392   .3500298     3.02   0.003     .3703463    1.742438
     _Istateicps_11 |   .0884763   .3219361     0.27   0.783    -.5425068    .7194594
     _Istateicps_12 |     -.1793   .2212339    -0.81   0.418    -.6129106    .2543105
     _Istateicps_13 |    .630751   .2669973     2.36   0.018      .107446    1.154056
     _Istateicps_14 |   .2706004     .25729     1.05   0.293    -.2336787    .7748794
     _Istateicps_21 |   -.296676   .2746116    -1.08   0.280    -.8349048    .2415528
     _Istateicps_22 |  -.4288972   .2627143    -1.63   0.103    -.9438079    .0860134
     _Istateicps_23 |  -.0645959   .2966144    -0.22   0.828    -.6459494    .5167576
     _Istateicps_24 |  -.1205129   .2473015    -0.49   0.626    -.6052149    .3641891
     _Istateicps_25 |  -.0276889    .310846    -0.09   0.929    -.6369359    .5815582
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4310596   .2821711     1.53   0.127    -.1219857    .9841049
     _Istateicps_41 |   .3656364   .2539824     1.44   0.150      -.13216    .8634328
     _Istateicps_42 |   -.547304   .2418417    -2.26   0.024    -1.021305    -.073303
     _Istateicps_43 |   .9520567   .2895534     3.29   0.001     .3845425    1.519571
     _Istateicps_44 |   .2402243   .2634838     0.91   0.362    -.2761944     .756643
     _Istateicps_45 |  -.3363821   .2947828    -1.14   0.254    -.9141458    .2413817
     _Istateicps_46 |   .7884407   .2826521     2.79   0.005     .2344527    1.342429
     _Istateicps_47 |   .0944305   .3076339     0.31   0.759    -.5085209    .6973819
     _Istateicps_48 |  -.1011065   .2641497    -0.38   0.702    -.6188304    .4166175
     _Istateicps_49 |   .7057004   .3011575     2.34   0.019     .1154424    1.295958
     _Istateicps_51 |   .1443038    .302397     0.48   0.633    -.4483834     .736991
     _Istateicps_52 |  -.4488863   .2997225    -1.50   0.134    -1.036332     .138559
     _Istateicps_53 |   .1322067   .2728719     0.48   0.628    -.4026124    .6670258
     _Istateicps_54 |   .1591712   .2699825     0.59   0.555    -.3699849    .6883272
     _Istateicps_56 |   .9456514   .3354832     2.82   0.005     .2881164    1.603186
     _Istateicps_61 |  -.4785475   .3570688    -1.34   0.180     -1.17839    .2212945
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0924258    .317384    -0.29   0.771     -.714487    .5296353
     _Istateicps_64 |   .7951194   .4191937     1.90   0.058    -.0264851    1.616724
     _Istateicps_65 |   .0370499   .3749282     0.10   0.921    -.6977958    .7718956
     _Istateicps_66 |    -.14969   .2852243    -0.52   0.600    -.7087193    .4093393
     _Istateicps_67 |   -.363595   .2888193    -1.26   0.208    -.9296703    .2024804
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0702512   .3704125     0.19   0.850    -.6557439    .7962462
     _Istateicps_72 |   .0690506    .340695     0.20   0.839    -.5986993    .7368004
     _Istateicps_73 |   .6414028   .2792456     2.30   0.022     .0940916    1.188714
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.418714   2.128782    -3.48   0.000    -11.59105   -3.246378
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.007
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               90.889
                         (Kleibergen-Paap rk Wald F statistic):         12.826
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: invpop_w99 ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp
                      c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap
                      c30deu c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est8 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui:   sum  pc1                 if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "-0.012"

. 
. esttab using "results/tables/AppTab16_robust-invpop.tex" ,                                                                             ///
>         order(iAGRI_PF  invpop_w99) drop(_cons)                                                                                        ///
>         indicate("State FE (48) = *state*")                                                                                                ///
>         mgroups("OLS"  "2SLS", pattern(1 0 0 0 1 0 0 0)                                                                                       
>  ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                                                             
>  ///
>                         span erepeat(\cmidrule(lr){@span}) )                                                                                  
>          ///
>         mlabel("War bonds" "Volunteers" "Medals" "PCA" "War bonds" "Volunteers" "Medals" "PCA")                                        ///
>         scalars("y_mean_round Mean dependent variable" "RA_test Rubin-Anderson test (p-value)")                                            ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01) obslast nomtitles  compress longtable                                           ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                                                                   ///
>         nogaps title("Robust: Regressions Controlling for Inverse of 1930 Population.\label{tab:invpop}") nonotes
(output written to results/tables/AppTab16_robust-invpop.tex)

. 
. 
. ***************************************************************************************************
. ****         Tab 17. The Impact of Service Comamnd 7                                               ****
. ***************************************************************************************************     
. estimates clear

. eststo: xi:  reg   iwarbond_1944_PC   iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      94.04
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6792
                                                Root MSE          =     .39059

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |    .131157   .0156796     8.36   0.000     .1004092    .1619047
         ww1_vol_sh |   .0320001   .0426563     0.75   0.453    -.0516491    .1156494
ww1_awards_pop10_is |   .2398695   .0949472     2.53   0.012     .0536773    .4260617
             lpop30 |  -.0612741     .01765    -3.47   0.001     -.095886   -.0266622
           c30unemp |  -.0701758   .2790059    -0.25   0.801    -.6173085     .476957
          c30urban1 |   .0913081   .0227132     4.02   0.000     .0467674    .1358488
            c30farm |  -.4586217   .0841703    -5.45   0.000    -.6236803   -.2935632
            iYf_T29 |   .0616861   .0223166     2.76   0.006     .0179231    .1054491
           MEAN9628 |   .0035631   .0009861     3.61   0.000     .0016294    .0054969
             c30men |  -2.303093   .7189495    -3.20   0.001    -3.712959    -.893227
           c30black |  -.2651065   .0860353    -3.08   0.002    -.4338224   -.0963905
             c30jap |   6.928105   1.949688     3.55   0.000      3.10475    10.75146
             c30deu |   1.015156   .2633892     3.85   0.000     .4986472    1.531664
             c30ita |  -.0681856   .5409449    -0.13   0.900    -1.128983    .9926117
             c30vet |   .9885703    .360418     2.74   0.006     .2817877    1.695353
           lc40wage |   .5052636   .0619094     8.16   0.000     .3838588    .6266684
      iwarconpro_PC |   .3043017   .0214796    14.17   0.000     .2621801    .3464233
      _Istateicps_2 |  -.0184559   .1468872    -0.13   0.900     -.306503    .2695911
      _Istateicps_3 |  -.1392728   .1405767    -0.99   0.322    -.4149447    .1363992
      _Istateicps_4 |   .0167658   .1826229     0.09   0.927    -.3413593    .3748909
      _Istateicps_5 |  -.3372744   .3903247    -0.86   0.388    -1.102704    .4281555
      _Istateicps_6 |   .0927029   .1417173     0.65   0.513    -.1852058    .3706116
     _Istateicps_11 |   .3494683   .1687018     2.07   0.038     .0186426    .6802939
     _Istateicps_12 |  -.0659118    .131944    -0.50   0.617    -.3246552    .1928316
     _Istateicps_13 |     .07677   .1152938     0.67   0.506    -.1493221    .3028621
     _Istateicps_14 |   .1372093   .1178452     1.16   0.244    -.0938861    .3683047
     _Istateicps_21 |   .1382478   .1244451     1.11   0.267    -.1057901    .3822857
     _Istateicps_22 |    .057388    .124171     0.46   0.644    -.1861124    .3008885
     _Istateicps_23 |   .0585792   .1263879     0.46   0.643    -.1892685    .3064268
     _Istateicps_24 |   .0131183   .1223033     0.11   0.915    -.2267195     .252956
     _Istateicps_25 |   .0626015     .13548     0.46   0.644    -.2030759    .3282789
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .1036174   .1335261     0.78   0.438    -.1582285    .3654633
     _Istateicps_41 |   .0398968   .1305765     0.31   0.760    -.2161648    .2959585
     _Istateicps_42 |  -.3145859   .1341171    -2.35   0.019    -.5775906   -.0515812
     _Istateicps_43 |  -.0098847   .1441245    -0.07   0.945    -.2925141    .2727446
     _Istateicps_44 |  -.1479265   .1313496    -1.13   0.260    -.4055041    .1096511
     _Istateicps_45 |  -.2442532   .1323926    -1.84   0.065    -.5038762    .0153698
     _Istateicps_46 |  -.0396228   .1333015    -0.30   0.766    -.3010282    .2217826
     _Istateicps_47 |  -.0522456   .1299425    -0.40   0.688     -.307064    .2025727
     _Istateicps_48 |  -.3950309   .1456993    -2.71   0.007    -.6807485   -.1093133
     _Istateicps_49 |   .1255816   .1293053     0.97   0.332    -.1279872    .3791503
     _Istateicps_51 |  -.2002037   .1267809    -1.58   0.114     -.448822    .0484146
     _Istateicps_52 |  -.0405512   .1563529    -0.26   0.795    -.3471605    .2660581
     _Istateicps_53 |   .1509172   .1307459     1.15   0.249    -.1054766     .407311
     _Istateicps_54 |  -.0868888   .1278185    -0.68   0.497    -.3375419    .1637643
     _Istateicps_56 |  -.0430743   .1280302    -0.34   0.737    -.2941425     .207994
     _Istateicps_61 |   .0769356   .1561738     0.49   0.622    -.2293224    .3831937
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1979085   .1472827     1.34   0.179    -.0909142    .4867312
     _Istateicps_64 |   .6505375   .1440475     4.52   0.000     .3680593    .9330157
     _Istateicps_65 |   .1697484   .1930936     0.88   0.379    -.2089097    .5484065
     _Istateicps_66 |  -.1475922   .1509295    -0.98   0.328    -.4435663    .1483818
     _Istateicps_67 |  -.0416204   .1396537    -0.30   0.766    -.3154824    .2322417
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .1616193   .1323962     1.22   0.222    -.0980107    .4212494
     _Istateicps_72 |   .5755038   .1375127     4.19   0.000     .3058402    .8451674
     _Istateicps_73 |   .4769372   .1656826     2.88   0.004     .1520322    .8018423
     _Istateicps_98 |          0  (omitted)
              _cons |   1.782519   .5794017     3.08   0.002     .6463078    2.918731
-------------------------------------------------------------------------------------
(est1 stored)

.                 qui: sum   iwarbond_1944_PC           if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.549"

. estadd local sample "No"

added macro:
             e(sample) : "No"

. eststo: xi:   reg  iwarbond_1944_PC              iSUM3MO_DROUGHT3340 iAGRI_T73  $control if sample_ols == 1 & servicecommand != 7, cluster(CLI
> MDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 265)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6696
                                                Root MSE          =     .39646

                                    (Std. Err. adjusted for 266 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .1136599   .0243316     4.67   0.000      .065752    .1615678
          iAGRI_T73 |   .0510271   .0303081     1.68   0.093    -.0086482    .1107023
         ww1_vol_sh |   .0455086   .0433518     1.05   0.295    -.0398491    .1308663
ww1_awards_pop10_is |   .2266902   .1049621     2.16   0.032     .0200243    .4333561
             lpop30 |  -.0825079    .021941    -3.76   0.000    -.1257089    -.039307
           c30unemp |  -.2601043   .2804759    -0.93   0.355    -.8123491    .2921405
          c30urban1 |   .1080739   .0254647     4.24   0.000     .0579351    .1582127
            c30farm |  -.4992818   .1109424    -4.50   0.000    -.7177225   -.2808411
            iYf_T29 |     .11124   .0328929     3.38   0.001     .0464754    .1760047
           MEAN9628 |   .0042876   .0011916     3.60   0.000     .0019414    .0066338
             c30men |  -2.405499   .7758636    -3.10   0.002    -3.933141   -.8778578
           c30black |  -.2951995   .1045168    -2.82   0.005    -.5009885   -.0894106
             c30jap |    5.63951   2.281964     2.47   0.014     1.146424     10.1326
             c30deu |   1.052488    .327146     3.22   0.001     .4083522    1.696625
             c30ita |  -.4100663   .5942721    -0.69   0.491    -1.580162    .7600295
             c30vet |   .9897662   .4029437     2.46   0.015     .1963877    1.783145
           lc40wage |   .4921721   .0674249     7.30   0.000     .3594154    .6249287
      iwarconpro_PC |   .3036073   .0229865    13.21   0.000     .2583478    .3488668
      _Istateicps_2 |  -.2214821   .0844071    -2.62   0.009    -.3876759   -.0552882
      _Istateicps_3 |  -.1611685   .0774571    -2.08   0.038    -.3136781   -.0086588
      _Istateicps_4 |  -.1829775   .0758683    -2.41   0.017    -.3323589    -.033596
      _Istateicps_5 |  -.3824648   .0361533   -10.58   0.000     -.453649   -.3112806
      _Istateicps_6 |  -.0464116   .1055441    -0.44   0.660    -.2542234    .1614002
     _Istateicps_11 |   .2888982   .0735306     3.93   0.000     .1441196    .4336768
     _Istateicps_12 |  -.1143649   .1032118    -1.11   0.269    -.3175845    .0888547
     _Istateicps_13 |   -.165455   .0714545    -2.32   0.021    -.3061457   -.0247642
     _Istateicps_14 |  -.0821262   .0624439    -1.32   0.190    -.2050755     .040823
     _Istateicps_21 |  -.0681533   .1016674    -0.67   0.503    -.2683319    .1320254
     _Istateicps_22 |  -.1976832   .0999222    -1.98   0.049    -.3944257   -.0009407
     _Istateicps_23 |  -.2233882   .0943946    -2.37   0.019     -.409247   -.0375294
     _Istateicps_24 |  -.2629342   .0851724    -3.09   0.002    -.4306349   -.0952336
     _Istateicps_25 |  -.1834094   .1221678    -1.50   0.134    -.4239525    .0571336
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0195573   .0873508    -0.22   0.823    -.1915473    .1524327
     _Istateicps_41 |  -.0000321   .0903617    -0.00   1.000    -.1779503     .177886
     _Istateicps_42 |  -.5951717   .0991996    -6.00   0.000    -.7904913   -.3998521
     _Istateicps_43 |  -.1282853   .1014722    -1.26   0.207    -.3280796     .071509
     _Istateicps_44 |  -.1961139   .0832593    -2.36   0.019    -.3600479     -.03218
     _Istateicps_45 |  -.3181703   .1045658    -3.04   0.003    -.5240558   -.1122847
     _Istateicps_46 |   -.228791    .102616    -2.23   0.027    -.4308374   -.0267447
     _Istateicps_47 |  -.1340928   .0844622    -1.59   0.114    -.3003953    .0322097
     _Istateicps_48 |  -.5345529   .1024083    -5.22   0.000    -.7361903   -.3329154
     _Istateicps_49 |   .0377923   .1105818     0.34   0.733    -.1799385    .2555232
     _Istateicps_51 |  -.4486256   .1714941    -2.62   0.009      -.78629   -.1109613
     _Istateicps_52 |  -.0826297   .1053803    -0.78   0.434    -.2901189    .1248594
     _Istateicps_53 |  -.0807092    .126461    -0.64   0.524    -.3297053     .168287
     _Istateicps_54 |  -.2989831   .0854909    -3.50   0.001    -.4673109   -.1306554
     _Istateicps_56 |  -.2713544   .0871212    -3.11   0.002    -.4428922   -.0998166
     _Istateicps_61 |  -.1309437   .1450792    -0.90   0.368    -.4165984     .154711
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0456118   .1373711    -0.33   0.740    -.3160896     .224866
     _Istateicps_64 |   .4911206   .1774366     2.77   0.006     .1417558    .8404855
     _Istateicps_65 |  -.0534119   .1675524    -0.32   0.750    -.3833152    .2764914
     _Istateicps_66 |  -.3123031   .1643062    -1.90   0.058    -.6358148    .0112085
     _Istateicps_67 |  -.2706051   .1078559    -2.51   0.013    -.4829686   -.0582416
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .1198761    .107716     1.11   0.267     -.092212    .3319643
     _Istateicps_72 |   .3548401    .125087     2.84   0.005     .1085492    .6011311
     _Istateicps_73 |   .3310149   .1561346     2.12   0.035     .0235926    .6384371
     _Istateicps_98 |          0  (omitted)
              _cons |   2.811181   .6341972     4.43   0.000     1.562474    4.059887
-------------------------------------------------------------------------------------
(est2 stored)

.                 qui: sum   iwarbond_1944_PC           if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.549"

. estadd local sample "No"

added macro:
             e(sample) : "No"

. eststo: xi: ivreg2 iwarbond_1944_PC   (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(CL
> IMDIVX)  first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   2329
Number of clusters (CLIMDIVX) =    266
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .3017194   .0620357     4.86   0.000     .1800669     .423372
          iAGRI_T73 |   .2151504   .1027182     2.09   0.036     .0137191    .4165817
         ww1_vol_sh |   .0541683   .0996935     0.54   0.587    -.1413316    .2496681
ww1_awards_pop10_is |      .0621    .178696     0.35   0.728    -.2883244    .4125244
             lpop30 |  -.1977218    .045403    -4.35   0.000    -.2867574   -.1086861
           c30unemp |   -1.11257   .6676518    -1.67   0.096    -2.421841     .196701
          c30urban1 |   .1635703   .0463311     3.53   0.000     .0727146    .2544259
            c30farm |   .0915259   .3156527     0.29   0.772    -.5274718    .7105237
            iYf_T29 |    .341843   .0844944     4.05   0.000     .1761488    .5075372
           MEAN9628 |   .0106535   .0032477     3.28   0.001     .0042847    .0170223
             c30men |  -.3652069    1.86481    -0.20   0.845    -4.022115    3.291701
           c30black |   -.264047   .2875082    -0.92   0.359    -.8278531    .2997591
             c30jap |  -4.334511   5.246493    -0.83   0.409    -14.62293    5.953907
             c30deu |   .6765578   1.035268     0.65   0.513    -1.353611    2.706727
             c30ita |   -1.61388   1.094103    -1.48   0.140    -3.759426    .5316646
             c30vet |   .7112819   .6953677     1.02   0.306    -.6523402    2.074904
           lc40wage |   .0876162   .1586872     0.55   0.581    -.2235707    .3988032
      iwarconpro_PC |   .0034168     .03335     0.10   0.918    -.0619829    .0688165
      _Istateicps_2 |  -1.412081   .3550796    -3.98   0.000    -2.108395   -.7157667
      _Istateicps_3 |  -.0378801   .1325542    -0.29   0.775    -.2978201    .2220599
      _Istateicps_4 |  -1.347562   .1733416    -7.77   0.000    -1.687486   -1.007638
      _Istateicps_5 |  -.3293426   .1130741    -2.91   0.004     -.551082   -.1076033
      _Istateicps_6 |  -.9843088   .2043601    -4.82   0.000    -1.385061   -.5835568
     _Istateicps_11 |  -.4291463   .3273146    -1.31   0.190    -1.071013    .2127205
     _Istateicps_12 |  -.3323729   .1866564    -1.78   0.075    -.6984076    .0336618
     _Istateicps_13 |  -1.199832   .1961727    -6.12   0.000    -1.584529   -.8151361
     _Istateicps_14 |  -1.239489   .1771007    -7.00   0.000    -1.586785   -.8921928
     _Istateicps_21 |  -.2387278   .2920916    -0.82   0.414    -.8115219    .3340663
     _Istateicps_22 |  -.5942314   .2704594    -2.20   0.028    -1.124605   -.0638582
     _Istateicps_23 |   -.849258   .2552081    -3.33   0.001    -1.349723   -.3487926
     _Istateicps_24 |  -.8600766   .2368249    -3.63   0.000    -1.324492   -.3956609
     _Istateicps_25 |  -.5458066   .2935731    -1.86   0.063    -1.121506    .0298927
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -1.060045    .205751    -5.15   0.000    -1.463524   -.6565654
     _Istateicps_41 |  -.4192332   .2074482    -2.02   0.043     -.826041   -.0124254
     _Istateicps_42 |  -1.069833   .2409245    -4.44   0.000    -1.542288   -.5973781
     _Istateicps_43 |  -.9161689   .2840917    -3.22   0.001    -1.473275   -.3590627
     _Istateicps_44 |  -.3887811   .2208118    -1.76   0.078    -.8217948    .0442327
     _Istateicps_45 |  -.5342521   .3042204    -1.76   0.079    -1.130831    .0623268
     _Istateicps_46 |  -1.144274   .2653921    -4.31   0.000     -1.66471   -.6238378
     _Istateicps_47 |  -.5713226   .2581934    -2.21   0.027    -1.077642   -.0650031
     _Istateicps_48 |   -.646538   .2591545    -2.49   0.013    -1.154742   -.1383339
     _Istateicps_49 |   .0685505   .3198109     0.21   0.830    -.5586015    .6957024
     _Istateicps_51 |  -1.033064   .3703717    -2.79   0.005    -1.759366   -.3067616
     _Istateicps_52 |  -.3209361   .2026502    -1.58   0.113     -.718335    .0764628
     _Istateicps_53 |  -.3890901   .2988818    -1.30   0.193    -.9751999    .1970198
     _Istateicps_54 |  -1.027017    .232123    -4.42   0.000    -1.482213   -.5718221
     _Istateicps_56 |  -1.548947   .2443366    -6.34   0.000    -2.028093   -1.069801
     _Istateicps_61 |  -.7121697   .4108419    -1.73   0.083    -1.517834    .0934948
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.4025677   .3355926    -1.20   0.230    -1.060668    .2555323
     _Istateicps_64 |   .2287702   .4423076     0.52   0.605    -.6385989    1.096139
     _Istateicps_65 |  -.6859005   .4379341    -1.57   0.117    -1.544693     .172892
     _Istateicps_66 |  -.2591229   .4164294    -0.62   0.534    -1.075745    .5574987
     _Istateicps_67 |  -.5636995   .3013475    -1.87   0.062    -1.154645    .0272456
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3021226   .2625017     1.15   0.250    -.2126456    .8168907
     _Istateicps_72 |  -.4572427   .3564004    -1.28   0.200    -1.156147    .2416616
     _Istateicps_73 |  -.3817661   .3529455    -1.08   0.280    -1.073895     .310363
     _Istateicps_98 |          0  (omitted)
              _cons |   6.394125   1.802429     3.55   0.000     2.859547    9.928704
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   265) =    12.62
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   265)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   265)
iAGRI_PF     |      12.62    0.0000 |       25.97   0.0000 |       12.62

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=18.45    P-val=0.0001

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                      93.33
Kleibergen-Paap Wald rk F statistic                                12.62

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,265)=      12.93     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     26.60     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        266
Number of observations               N  =       2329
Number of regressors                 K  =         56
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         57
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   122.83
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1080.987079                Centered R2   =   0.6292
Total (uncentered) SS   =  49285.69589                Uncentered R2 =   0.9919
Residual SS             =  400.8675124                Root MSE      =    .4149

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3393903   .0607184     5.59   0.000     .2203845    .4583961
         ww1_vol_sh |   .0258754   .0544316     0.48   0.635    -.0808086    .1325595
ww1_awards_pop10_is |   .2032792   .0983899     2.07   0.039     .0104385    .3961198
             lpop30 |  -.0147089   .0258552    -0.57   0.569    -.0653841    .0359663
           c30unemp |   .1123178   .3288294     0.34   0.733     -.532176    .7568116
          c30urban1 |   .0527406   .0281781     1.87   0.061    -.0024876    .1079687
            c30farm |  -.5321333   .1353144    -3.93   0.000    -.7973445    -.266922
            iYf_T29 |  -.0062185   .0370496    -0.17   0.867    -.0788344    .0663974
           MEAN9628 |   .0006633   .0014028     0.47   0.636    -.0020863    .0034128
             c30men |  -2.302054   .9301914    -2.47   0.013    -4.125196   -.4789128
           c30black |  -.2004525   .1201136    -1.67   0.095    -.4358709    .0349659
             c30jap |   7.089155   2.904789     2.44   0.015     1.395872    12.78244
             c30deu |   .8299446   .3842938     2.16   0.031     .0767425    1.583147
             c30ita |   .1611264   .6472761     0.25   0.803    -1.107512    1.429764
             c30vet |   .7514645   .4563633     1.65   0.100    -.1429911     1.64592
           lc40wage |   .4600563   .0741328     6.21   0.000     .3147587    .6053538
      iwarconpro_PC |   .3024178   .0270053    11.20   0.000     .2494883    .3553473
      _Istateicps_2 |   .2543356   .1934445     1.31   0.189    -.1248087    .6334799
      _Istateicps_3 |  -.1467493   .1025918    -1.43   0.153    -.3478256    .0543269
      _Istateicps_4 |   .2660747   .1215747     2.19   0.029     .0277927    .5043567
      _Istateicps_5 |  -.2699694   .0630203    -4.28   0.000    -.3934869   -.1464519
      _Istateicps_6 |   .2906991   .1556909     1.87   0.062    -.0144493    .5958476
     _Istateicps_11 |   .4362878    .161992     2.69   0.007     .1187893    .7537863
     _Istateicps_12 |  -.0001269   .0805508    -0.00   0.999    -.1580036    .1577497
     _Istateicps_13 |   .2515082   .0963986     2.61   0.009     .0625705    .4404459
     _Istateicps_14 |     .34666   .1015176     3.41   0.001     .1476892    .5456307
     _Istateicps_21 |    .042163   .1115306     0.38   0.705    -.1764329     .260759
     _Istateicps_22 |   .0347301   .0973972     0.36   0.721    -.1561649     .225625
     _Istateicps_23 |   .0919519   .1008533     0.91   0.362     -.105717    .2896208
     _Istateicps_24 |   .0534979   .0904579     0.59   0.554    -.1237962     .230792
     _Istateicps_25 |   .0260774   .1222358     0.21   0.831    -.2135004    .2656551
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .3413654   .1262704     2.70   0.007     .0938798    .5888509
     _Istateicps_41 |   .1419637   .1077154     1.32   0.188    -.0691546    .3530819
     _Istateicps_42 |  -.2150299   .1135059    -1.89   0.058    -.4374974    .0074376
     _Istateicps_43 |   .1843997   .1088054     1.69   0.090    -.0288549    .3976543
     _Istateicps_44 |  -.0625529   .1058244    -0.59   0.554    -.2699649    .1448591
     _Istateicps_45 |  -.1321237   .1106608    -1.19   0.232    -.3490149    .0847674
     _Istateicps_46 |   .1643842   .1222869     1.34   0.179    -.0752938    .4040622
     _Istateicps_47 |   .0633451   .1288778     0.49   0.623    -.1892506    .3159409
     _Istateicps_48 |  -.3147519   .1263379    -2.49   0.013    -.5623697   -.0671341
     _Istateicps_49 |   .0222277   .1214925     0.18   0.855    -.2158932    .2603486
     _Istateicps_51 |   -.077763   .1043699    -0.75   0.456    -.2823242    .1267982
     _Istateicps_52 |   .0282107   .1210292     0.23   0.816    -.2090022    .2654235
     _Istateicps_53 |   .0821851   .1095068     0.75   0.453    -.1324442    .2968144
     _Istateicps_54 |   .0575282   .1083825     0.53   0.596    -.1548976     .269954
     _Istateicps_56 |   .2608081   .1395217     1.87   0.062    -.0126494    .5342656
     _Istateicps_61 |   .1334023   .1495831     0.89   0.372    -.1597751    .4265798
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1272241   .1366367     0.93   0.352    -.1405789    .3950271
     _Istateicps_64 |   .4493759   .1419182     3.17   0.002     .1712213    .7275304
     _Istateicps_65 |   .2098644   .1797111     1.17   0.243    -.1423629    .5620917
     _Istateicps_66 |  -.2016554   .1448042    -1.39   0.164    -.4854664    .0821555
     _Istateicps_67 |  -.0504113   .1006479    -0.50   0.616    -.2476776    .1468551
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0348406   .1436785     0.24   0.808    -.2467641    .3164452
     _Istateicps_72 |   .5291426   .1107879     4.78   0.000     .3120024    .7462829
     _Istateicps_73 |   .4805965   .1290977     3.72   0.000     .2275696    .7336234
     _Istateicps_98 |          0  (omitted)
              _cons |   .6635966   .9292148     0.71   0.475    -1.157631    2.484824
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------
(est3 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui: sum   iwarbond_1944_PC           if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "4.549"

. estadd local sample "No"

added macro:
             e(sample) : "No"

. 
. eststo: xi:  reg   ww2_vol_pop40 iAGRI_PF                                        $control if sample_ols == 1, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      71.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6129
                                                Root MSE          =     .20108

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0281688   .0067738     4.16   0.000      .014887    .0414507
         ww1_vol_sh |   .0877392   .0201509     4.35   0.000     .0482281    .1272504
ww1_awards_pop10_is |   .1074006   .0775431     1.39   0.166    -.0446432    .2594445
             lpop30 |  -.0047152   .0099069    -0.48   0.634    -.0241404      .01471
           c30unemp |   .4731829   .1709347     2.77   0.006       .13802    .8083459
          c30urban1 |    -.00362   .0107333    -0.34   0.736    -.0246656    .0174255
            c30farm |   -.150266   .0493597    -3.04   0.002    -.2470489   -.0534832
            iYf_T29 |  -.0238344   .0096593    -2.47   0.014     -.042774   -.0048949
           MEAN9628 |  -.0001862   .0004868    -0.38   0.702    -.0011407    .0007682
             c30men |  -.7097175   .4397795    -1.61   0.107    -1.572022    .1525874
           c30black |  -.4452192   .0366242   -12.16   0.000    -.5170307   -.3734077
             c30jap |   .1178164   1.174724     0.10   0.920    -2.185544    2.421177
             c30deu |   -.562926   .0910133    -6.19   0.000    -.7413818   -.3844702
             c30ita |  -.4911209   .2234971    -2.20   0.028    -.9293466   -.0528952
             c30vet |   .8424806   .2721845     3.10   0.002     .3087903    1.376171
           lc40wage |   .1767899   .0291027     6.07   0.000     .1197262    .2338535
      iwarconpro_PC |  -.0254398    .006901    -3.69   0.000    -.0389711   -.0119084
      _Istateicps_2 |  -.0109611   .0569354    -0.19   0.847    -.1225982     .100676
      _Istateicps_3 |   .0346216   .0554477     0.62   0.532    -.0740984    .1433416
      _Istateicps_4 |   .2309409   .0785591     2.94   0.003     .0769048    .3849771
      _Istateicps_5 |   .0167768   .0649798     0.26   0.796    -.1106334     .144187
      _Istateicps_6 |   .3051715   .0753356     4.05   0.000      .157456     .452887
     _Istateicps_11 |  -.1819205   .0640467    -2.84   0.005    -.3075011   -.0563398
     _Istateicps_12 |  -.0990983   .0508913    -1.95   0.052    -.1988842    .0006875
     _Istateicps_13 |   .0413055    .050907     0.81   0.417    -.0585113    .1411223
     _Istateicps_14 |  -.2089765   .0494385    -4.23   0.000     -.305914   -.1120391
     _Istateicps_21 |   .0168993   .0526523     0.32   0.748    -.0863395    .1201382
     _Istateicps_22 |  -.0827056   .0521014    -1.59   0.113    -.1848643    .0194531
     _Istateicps_23 |  -.0463839   .0582323    -0.80   0.426    -.1605638     .067796
     _Istateicps_24 |  -.0998091   .0520422    -1.92   0.055    -.2018517    .0022336
     _Istateicps_25 |   .1758135   .0583849     3.01   0.003     .0613343    .2902927
     _Istateicps_31 |   -.150398   .0536423    -2.80   0.005    -.2555781   -.0452179
     _Istateicps_32 |  -.1207808   .0548108    -2.20   0.028     -.228252   -.0133097
     _Istateicps_33 |  -.1125602   .0554663    -2.03   0.043    -.2213167   -.0038037
     _Istateicps_34 |  -.1378615   .0512091    -2.69   0.007    -.2382706   -.0374523
     _Istateicps_35 |   .0634855   .0564486     1.12   0.261    -.0471971     .174168
     _Istateicps_36 |  -.2158874    .057313    -3.77   0.000    -.3282648   -.1035101
     _Istateicps_37 |  -.2106213   .0580633    -3.63   0.000    -.3244698   -.0967728
     _Istateicps_40 |  -.1590843   .0539348    -2.95   0.003    -.2648379   -.0533308
     _Istateicps_41 |   .0844095   .0560729     1.51   0.132    -.0255363    .1943553
     _Istateicps_42 |  -.2301849   .0535257    -4.30   0.000    -.3351363   -.1252335
     _Istateicps_43 |   .1974027   .0607735     3.25   0.001       .07824    .3165653
     _Istateicps_44 |   .1635033    .054721     2.99   0.003     .0562083    .2707984
     _Istateicps_45 |  -.1918221   .0543417    -3.53   0.000    -.2983735   -.0852706
     _Istateicps_46 |   .1380635   .0577284     2.39   0.017     .0248716    .2512554
     _Istateicps_47 |  -.0169908   .0529821    -0.32   0.748    -.1208763    .0868948
     _Istateicps_48 |   .0680586   .0581824     1.17   0.242    -.0460235    .1821407
     _Istateicps_49 |   .5236488   .0567835     9.22   0.000     .4123096    .6349881
     _Istateicps_51 |   .0455997   .0537732     0.85   0.397    -.0598371    .1510364
     _Istateicps_52 |  -.3063443   .0549674    -5.57   0.000    -.4141224   -.1985661
     _Istateicps_53 |   .1498507   .0556803     2.69   0.007     .0406747    .2590267
     _Istateicps_54 |  -.0370117   .0550001    -0.67   0.501    -.1448541    .0708307
     _Istateicps_56 |   .0946975   .0584641     1.62   0.105     -.019937     .209332
     _Istateicps_61 |  -.4977304   .0610511    -8.15   0.000    -.6174373   -.3780235
     _Istateicps_62 |  -.4523914   .0550964    -8.21   0.000    -.5604225   -.3443603
     _Istateicps_63 |  -.0475841   .0612354    -0.78   0.437    -.1676525    .0724843
     _Istateicps_64 |   .1827701   .0639786     2.86   0.004      .057323    .3082171
     _Istateicps_65 |   -.174902   .0879393    -1.99   0.047    -.3473304   -.0024735
     _Istateicps_66 |   .0985817   .0707448     1.39   0.164    -.0401323    .2372958
     _Istateicps_67 |  -.2039074   .0621342    -3.28   0.001    -.3257381   -.0820767
     _Istateicps_68 |  -.2194767   .0724995    -3.03   0.002    -.3616313    -.077322
     _Istateicps_71 |   .0091996   .0667212     0.14   0.890    -.1216251    .1400243
     _Istateicps_72 |  -.1389881   .0618416    -2.25   0.025    -.2602451   -.0177311
     _Istateicps_73 |   .0462362   .0632877     0.73   0.465    -.0778562    .1703286
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2317285   .2949825    -0.79   0.432    -.8101203    .3466634
-------------------------------------------------------------------------------------
(est4 stored)

.                 qui: sum   ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.601"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. eststo: xi:   reg  ww2_vol_pop40                 iSUM3MO_DROUGHT3340 iAGRI_T73  $control if sample_ols == 1, cluster(CLIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6205
                                                Root MSE          =     .19912

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0309742   .0177434     1.75   0.082    -.0039272    .0658755
          iAGRI_T73 |   .0673887   .0260369     2.59   0.010     .0161738    .1186035
         ww1_vol_sh |   .0903725    .022548     4.01   0.000     .0460205    .1347246
ww1_awards_pop10_is |   .0951223    .071946     1.32   0.187    -.0463959    .2366406
             lpop30 |  -.0054094   .0106107    -0.51   0.611    -.0262808     .015462
           c30unemp |   .4199162   .1706072     2.46   0.014     .0843305    .7555018
          c30urban1 |  -.0012943   .0102675    -0.13   0.900    -.0214905     .018902
            c30farm |   -.170202   .0484376    -3.51   0.001    -.2654791   -.0749249
            iYf_T29 |    -.01559   .0135792    -1.15   0.252    -.0423003    .0111204
           MEAN9628 |  -.0002771   .0007722    -0.36   0.720    -.0017959    .0012418
             c30men |  -.8110319   .4583971    -1.77   0.078    -1.712702    .0906386
           c30black |  -.4384641   .0602167    -7.28   0.000    -.5569108   -.3200173
             c30jap |  -.3662933   1.660736    -0.22   0.826    -3.632973    2.900387
             c30deu |  -.5577342   .1274971    -4.37   0.000    -.8085219   -.3069465
             c30ita |  -.5403179   .2492315    -2.17   0.031    -1.030558   -.0500777
             c30vet |   .8469908   .2604109     3.25   0.001     .3347605    1.359221
           lc40wage |   .1612139   .0324782     4.96   0.000     .0973291    .2250987
      iwarconpro_PC |  -.0261383   .0068626    -3.81   0.000     -.039637   -.0126395
      _Istateicps_2 |  -.0673502    .068077    -0.99   0.323    -.2012583    .0665578
      _Istateicps_3 |    .027859    .059513     0.47   0.640    -.0892035    .1449214
      _Istateicps_4 |   .1633884    .061169     2.67   0.008     .0430685    .2837084
      _Istateicps_5 |   .0080108   .0530559     0.15   0.880    -.0963506    .1123723
      _Istateicps_6 |    .278951     .06452     4.32   0.000     .1520396    .4058624
     _Istateicps_11 |   -.191163   .0621191    -3.08   0.002    -.3133517   -.0689744
     _Istateicps_12 |  -.1069419   .0665581    -1.61   0.109    -.2378622    .0239784
     _Istateicps_13 |  -.0245089   .0705633    -0.35   0.729    -.1633074    .1142896
     _Istateicps_14 |  -.2607956      .0613    -4.25   0.000    -.3813732    -.140218
     _Istateicps_21 |  -.0374739   .0800541    -0.47   0.640    -.1949409    .1199931
     _Istateicps_22 |  -.1453028   .0800717    -1.81   0.070    -.3028044    .0121989
     _Istateicps_23 |  -.1193587   .0852499    -1.40   0.162    -.2870458    .0483285
     _Istateicps_24 |  -.1737412   .0758442    -2.29   0.023    -.3229272   -.0245552
     _Istateicps_25 |   .1021995   .0843104     1.21   0.226    -.0636396    .2680386
     _Istateicps_31 |  -.2221124   .0821001    -2.71   0.007     -.383604   -.0606208
     _Istateicps_32 |  -.2207443    .096604    -2.29   0.023    -.4107651   -.0307235
     _Istateicps_33 |  -.1725749   .0821075    -2.10   0.036    -.3340809   -.0110688
     _Istateicps_34 |  -.2034995   .0753995    -2.70   0.007     -.351811   -.0551881
     _Istateicps_35 |   2.10e-06   .0910519     0.00   1.000    -.1790977    .1791019
     _Istateicps_36 |  -.2381701   .0811239    -2.94   0.004    -.3977414   -.0785988
     _Istateicps_37 |  -.2539269   .0861763    -2.95   0.003    -.4234364   -.0844175
     _Istateicps_40 |  -.1782149    .068175    -2.61   0.009    -.3123157   -.0441141
     _Istateicps_41 |   .0784851   .0756857     1.04   0.300    -.0703893    .2273595
     _Istateicps_42 |  -.3148945   .0792669    -3.97   0.000     -.470813    -.158976
     _Istateicps_43 |   .1780778    .090111     1.98   0.049     .0008288    .3553269
     _Istateicps_44 |   .1555876   .0679855     2.29   0.023     .0218597    .2893155
     _Istateicps_45 |  -.2017688   .0716356    -2.82   0.005    -.3426765   -.0608611
     _Istateicps_46 |   .0872203   .0809927     1.08   0.282     -.072093    .2465336
     _Istateicps_47 |  -.0319241   .0686732    -0.46   0.642    -.1670049    .1031566
     _Istateicps_48 |   .0121399   .0893341     0.14   0.892     -.163581    .1878608
     _Istateicps_49 |   .4782336   .0819395     5.84   0.000     .3170579    .6394093
     _Istateicps_51 |  -.0127021   .0799551    -0.16   0.874    -.1699744    .1445702
     _Istateicps_52 |  -.3103583   .0694787    -4.47   0.000    -.4470233   -.1736932
     _Istateicps_53 |   .0884708   .0836376     1.06   0.291    -.0760449    .2529865
     _Istateicps_54 |  -.0995574   .1008341    -0.99   0.324    -.2978988    .0987841
     _Istateicps_56 |   .0484239   .0715437     0.68   0.499    -.0923029    .1891508
     _Istateicps_61 |   -.543006   .0804432    -6.75   0.000    -.7012385   -.3847736
     _Istateicps_62 |  -.5406665   .0870201    -6.21   0.000    -.7118357   -.3694973
     _Istateicps_63 |  -.1030632   .0898882    -1.15   0.252     -.279874    .0737476
     _Istateicps_64 |   .1428754   .0939706     1.52   0.129    -.0419655    .3277163
     _Istateicps_65 |  -.2140529   .1167602    -1.83   0.068    -.4437211    .0156152
     _Istateicps_66 |   .0554624   .0870585     0.64   0.525    -.1157823    .2267071
     _Istateicps_67 |  -.2554235   .0831642    -3.07   0.002    -.4190081   -.0918389
     _Istateicps_68 |  -.2506124   .1000307    -2.51   0.013    -.4473735   -.0538513
     _Istateicps_71 |   .0008552   .0854177     0.01   0.992    -.1671621    .1688725
     _Istateicps_72 |  -.2136407   .0874954    -2.44   0.015    -.3857449   -.0415365
     _Istateicps_73 |   .0172822   .0836131     0.21   0.836    -.1471854    .1817498
     _Istateicps_98 |          0  (omitted)
              _cons |   .0923148   .3584731     0.26   0.797    -.6128044    .7974339
-------------------------------------------------------------------------------------
(est5 stored)

.                 qui: sum   ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.601"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. eststo: xi: ivreg2 ww2_vol_pop40      (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1, cluster(CLIMDIVX)  first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   3022
Number of clusters (CLIMDIVX) =    339
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2862852   .0597948     4.79   0.000     .1690414    .4035289
          iAGRI_T73 |   .2998687   .0796153     3.77   0.000     .1437617    .4559758
         ww1_vol_sh |   .0007242   .0803196     0.01   0.993    -.1567638    .1582122
ww1_awards_pop10_is |   .0663441   .1506976     0.44   0.660    -.2291388    .3618269
             lpop30 |  -.1676359   .0422814    -3.96   0.000    -.2505399    -.084732
           c30unemp |  -1.472645   .6194849    -2.38   0.018     -2.68731   -.2579794
          c30urban1 |    .148546   .0433082     3.43   0.001     .0636288    .2334632
            c30farm |   .3298366   .3020545     1.09   0.275    -.2624218     .922095
            iYf_T29 |   .2837307   .0720697     3.94   0.000     .1424189    .4250426
           MEAN9628 |   .0086956   .0030049     2.89   0.004     .0028036    .0145875
             c30men |  -1.236684   1.645347    -0.75   0.452    -4.462826    1.989458
           c30black |  -.1929355   .2900599    -0.67   0.506    -.7616753    .3758043
             c30jap |   .2245796   4.425876     0.05   0.960     -8.45353     8.90269
             c30deu |   .6237568   .6041074     1.03   0.302     -.560757    1.808271
             c30ita |  -1.332877   1.008913    -1.32   0.187    -3.311121    .6453665
             c30vet |   1.575608   .6982832     2.26   0.024     .2064374    2.944778
           lc40wage |   .0803572   .1457565     0.55   0.581    -.2054373    .3661518
      iwarconpro_PC |  -.0118192   .0289969    -0.41   0.684    -.0686754    .0450369
      _Istateicps_2 |   -1.43588   .3440033    -4.17   0.000    -2.110391   -.7613702
      _Istateicps_3 |  -.0402589   .1288011    -0.31   0.755    -.2928078    .2122899
      _Istateicps_4 |  -1.379023   .1627279    -8.47   0.000    -1.698094   -1.059951
      _Istateicps_5 |  -.2991819   .1135336    -2.64   0.008    -.5217949   -.0765689
      _Istateicps_6 |  -1.034047   .1998951    -5.17   0.000    -1.425995   -.6420996
     _Istateicps_11 |  -.4316568   .3317822    -1.30   0.193    -1.082204    .2188907
     _Istateicps_12 |  -.2870182    .179687    -1.60   0.110    -.6393426    .0653061
     _Istateicps_13 |  -1.216242   .1933922    -6.29   0.000    -1.595439   -.8370451
     _Istateicps_14 |  -1.243835    .174084    -7.15   0.000    -1.585173   -.9024966
     _Istateicps_21 |   -.253832   .2816172    -0.90   0.367    -.8060178    .2983537
     _Istateicps_22 |  -.5909109    .264616    -2.23   0.026    -1.109761   -.0720608
     _Istateicps_23 |  -.8642328   .2411458    -3.58   0.000    -1.337064   -.3914021
     _Istateicps_24 |  -.8508278   .2307256    -3.69   0.000    -1.303227   -.3984286
     _Istateicps_25 |  -.5773775   .2544462    -2.27   0.023    -1.076287   -.0784677
     _Istateicps_31 |  -.0240282   .2416335    -0.10   0.921    -.4978152    .4497588
     _Istateicps_32 |   .1105492   .3310292     0.33   0.738    -.5385219    .7596202
     _Istateicps_33 |  -.2921672   .3132663    -0.93   0.351    -.9064094    .3220749
     _Istateicps_34 |  -.7874665   .2629334    -2.99   0.003    -1.303018   -.2719154
     _Istateicps_35 |   .0669056   .3246489     0.21   0.837    -.5696553    .7034664
     _Istateicps_36 |   1.146903   .2682436     4.28   0.000     .6209397    1.672866
     _Istateicps_37 |    .473284   .2917803     1.62   0.105    -.0988291    1.045397
     _Istateicps_40 |  -1.137069   .2008682    -5.66   0.000    -1.530925   -.7432132
     _Istateicps_41 |   -.537975   .1995163    -2.70   0.007    -.9291799   -.1467701
     _Istateicps_42 |   -1.17143   .2348102    -4.99   0.000    -1.631838   -.7110219
     _Istateicps_43 |  -.8949865   .2968767    -3.01   0.003    -1.477093   -.3128805
     _Istateicps_44 |  -.4848957    .212913    -2.28   0.023    -.9023686   -.0674229
     _Istateicps_45 |  -.5737398   .2966003    -1.93   0.053    -1.155304    .0078243
     _Istateicps_46 |  -1.236151   .2605803    -4.74   0.000    -1.747088   -.7252136
     _Istateicps_47 |  -.6703443    .258279    -2.60   0.009    -1.176769   -.1639194
     _Istateicps_48 |  -.7444691   .2630676    -2.83   0.005    -1.260283   -.2286549
     _Istateicps_49 |   -.029522   .3045483    -0.10   0.923    -.6266702    .5676262
     _Istateicps_51 |  -1.113087   .3840741    -2.90   0.004    -1.866166   -.3600071
     _Istateicps_52 |  -.3495761   .2007273    -1.74   0.082    -.7431556    .0440033
     _Istateicps_53 |  -.4779369   .2867284    -1.67   0.096    -1.040144    .0842706
     _Istateicps_54 |  -1.150328   .2268717    -5.07   0.000    -1.595171   -.7054856
     _Istateicps_56 |  -1.614531   .2369028    -6.82   0.000    -2.079042    -1.15002
     _Istateicps_61 |  -.7580026   .4074942    -1.86   0.063    -1.557004    .0409985
     _Istateicps_62 |  -.8764677   .3085737    -2.84   0.005    -1.481509   -.2714267
     _Istateicps_63 |  -.4109925   .3109273    -1.32   0.186    -1.020648    .1986634
     _Istateicps_64 |    .145309   .4018568     0.36   0.718    -.6426385    .9332566
     _Istateicps_65 |  -.6095988   .4038237    -1.51   0.131    -1.401403    .1822053
     _Istateicps_66 |  -.3683481    .403032    -0.91   0.361      -1.1586    .4219036
     _Istateicps_67 |  -.5679013   .2816253    -2.02   0.044    -1.120103   -.0156999
     _Istateicps_68 |   .3464281   .3166121     1.09   0.274    -.2743744    .9672306
     _Istateicps_71 |   .2262248   .2408516     0.94   0.348    -.2460291    .6984786
     _Istateicps_72 |  -.5221794   .3207505    -1.63   0.104    -1.151096    .1067375
     _Istateicps_73 |  -.4120003   .3391093    -1.21   0.224    -1.076914    .2529139
     _Istateicps_98 |          0  (omitted)
              _cons |    6.77447   1.585028     4.27   0.000       3.6666    9.882341
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   338)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   338)
iAGRI_PF     |      16.38    0.0000 |       33.59   0.0000 |       16.38

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=16.14    P-val=0.0003

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     134.55
Kleibergen-Paap Wald rk F statistic                                16.38

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,338)=       3.54     P-val=0.0301
Anderson-Rubin Wald test           Chi-sq(2)=      7.26     P-val=0.0266
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        339
Number of observations               N  =       3022
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   178.63
                                                      Prob > F      =   0.0000
Total (centered) SS     =   308.854589                Centered R2   =   0.5257
Total (uncentered) SS   =  1401.552441                Uncentered R2 =   0.8955
Residual SS             =   146.483287                Root MSE      =    .2202

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1598133   .0525087     3.04   0.002     .0568981    .2627285
         ww1_vol_sh |   .0912057    .026033     3.50   0.000     .0401819    .1422294
ww1_awards_pop10_is |   .0839075   .0709939     1.18   0.237     -.055238    .2230529
             lpop30 |   .0206589   .0165173     1.25   0.211    -.0117146    .0530323
           c30unemp |   .6523335   .2559724     2.55   0.011     .1506369     1.15403
          c30urban1 |  -.0249813   .0145426    -1.72   0.086    -.0534842    .0035217
            c30farm |  -.2252138   .0689953    -3.26   0.001     -.360442   -.0899855
            iYf_T29 |  -.0594881   .0200695    -2.96   0.003    -.0988236   -.0201526
           MEAN9628 |  -.0017145   .0009205    -1.86   0.063    -.0035186    .0000897
             c30men |  -.5893356   .5283913    -1.12   0.265    -1.624964    .4462922
           c30black |  -.4115609   .0630727    -6.53   0.000    -.5351812   -.2879406
             c30jap |  -.4009091   1.674201    -0.24   0.811    -3.682282    2.880464
             c30deu |  -.6598337   .1274057    -5.18   0.000    -.9095444   -.4101231
             c30ita |  -.3560028   .2775674    -1.28   0.200    -.9000249    .1880194
             c30vet |   .5874342   .2800818     2.10   0.036      .038484    1.136384
           lc40wage |   .1489487   .0394589     3.77   0.000     .0716106    .2262867
      iwarconpro_PC |  -.0243615   .0089196    -2.73   0.006    -.0418437   -.0068794
      _Istateicps_2 |   .1644856   .1036323     1.59   0.112      -.03863    .3676012
      _Istateicps_3 |   .0324434   .0747521     0.43   0.664     -.114068    .1789548
      _Istateicps_4 |   .3902928   .0988769     3.95   0.000     .1964976     .584088
      _Istateicps_5 |   .0552154   .0684123     0.81   0.420    -.0788702     .189301
      _Istateicps_6 |   .4404233    .096862     4.55   0.000     .2505773    .6302694
     _Istateicps_11 |  -.1241661   .1003236    -1.24   0.216    -.3207967    .0724644
     _Istateicps_12 |  -.0628166   .0912684    -0.69   0.491    -.2416994    .1160663
     _Istateicps_13 |   .1555696   .0939535     1.66   0.098    -.0285759    .3397152
     _Istateicps_14 |  -.0730145   .0914473    -0.80   0.425    -.2522479    .1062189
     _Istateicps_21 |  -.0351318   .0780923    -0.45   0.653    -.1881899    .1179264
     _Istateicps_22 |  -.0902383    .081555    -1.11   0.269    -.2500832    .0696066
     _Istateicps_23 |  -.0172829   .0913805    -0.19   0.850    -.1963855    .1618196
     _Istateicps_24 |  -.0703813   .0777872    -0.90   0.366    -.2228415    .0820789
     _Istateicps_25 |    .160322   .0871077     1.84   0.066    -.0104059      .33105
     _Istateicps_31 |  -.2559436   .0877883    -2.92   0.004    -.4280055   -.0838817
     _Istateicps_32 |   -.277203   .1096997    -2.53   0.012    -.4922105   -.0621955
     _Istateicps_33 |  -.1697974   .0912023    -1.86   0.063    -.3485506    .0089559
     _Istateicps_34 |  -.1146913   .0775929    -1.48   0.139    -.2667706     .037388
     _Istateicps_35 |  -.0645354   .0968744    -0.67   0.505    -.2544057    .1253349
     _Istateicps_36 |  -.4659618   .1288218    -3.62   0.000     -.718448   -.2134757
     _Istateicps_37 |  -.3785037   .1095422    -3.46   0.001    -.5932024    -.163805
     _Istateicps_40 |   .0032471   .1007766     0.03   0.974    -.1942714    .2007655
     _Istateicps_41 |   .1657871   .0923322     1.80   0.073    -.0151807    .3467549
     _Istateicps_42 |  -.1516899   .0815586    -1.86   0.063    -.3115418    .0081621
     _Istateicps_43 |   .3191405   .1020725     3.13   0.002     .1190822    .5191988
     _Istateicps_44 |   .2316084   .0841239     2.75   0.006     .0667287    .3964881
     _Istateicps_45 |  -.1146304   .0943617    -1.21   0.224    -.2995758    .0703151
     _Istateicps_46 |   .2784388    .096045     2.90   0.004      .090194    .4666837
     _Istateicps_47 |   .0715628   .0955545     0.75   0.454    -.1157206    .2588461
     _Istateicps_48 |   .1282352   .0923769     1.39   0.165    -.0528202    .3092907
     _Istateicps_49 |   .4698752   .0902611     5.21   0.000     .2929666    .6467837
     _Istateicps_51 |   .1395263   .1223019     1.14   0.254     -.100181    .3792336
     _Istateicps_52 |  -.2566236    .084969    -3.02   0.003    -.4231598   -.0900874
     _Istateicps_53 |   .1252554   .0925162     1.35   0.176    -.0560729    .3065838
     _Istateicps_54 |   .0723513   .1062057     0.68   0.496     -.135808    .2805107
     _Istateicps_56 |   .2986887    .117538     2.54   0.011     .0683184    .5290589
     _Istateicps_61 |  -.4502852    .092341    -4.88   0.000    -.6312702   -.2693002
     _Istateicps_62 |  -.4412615   .0781306    -5.65   0.000    -.5943946   -.2881283
     _Istateicps_63 |  -.0831301   .0867765    -0.96   0.338     -.253209    .0869487
     _Istateicps_64 |   .0739155   .1009675     0.73   0.464    -.1239771    .2718082
     _Istateicps_65 |  -.1546224   .1026605    -1.51   0.132    -.3558333    .0465885
     _Istateicps_66 |   .0848009    .086122     0.98   0.325    -.0839952     .253597
     _Istateicps_67 |  -.2014124   .0818593    -2.46   0.014    -.3618536   -.0409711
     _Istateicps_68 |  -.3491833   .1167727    -2.99   0.003    -.5780537    -.120313
     _Istateicps_71 |  -.0576729   .0972185    -0.59   0.553    -.2482176    .1328719
     _Istateicps_72 |  -.1582072   .0875661    -1.81   0.071    -.3298336    .0134193
     _Istateicps_73 |    .057716   .0855378     0.67   0.500     -.109935    .2253671
     _Istateicps_98 |          0  (omitted)
              _cons |  -.9974143    .651864    -1.53   0.126    -2.275044    .2802155
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est6 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.030"

.                 qui: sum   ww2_vol_pop40         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.601"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. 
. eststo: xi:  reg   ww2_awards_pop40_is iAGRI_PF                                        $control if sample_ols == 1, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      11.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1470
                                                Root MSE          =     .12268

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0125354   .0034124     3.67   0.000     .0058445    .0192264
         ww1_vol_sh |   .0434733   .0166657     2.61   0.009     .0107958    .0761508
ww1_awards_pop10_is |   .0459388   .0317195     1.45   0.148    -.0162558    .1081334
             lpop30 |  -.0097295   .0112196    -0.87   0.386    -.0317284    .0122694
           c30unemp |   .0707584   .1357652     0.52   0.602    -.1954455    .3369622
          c30urban1 |   .0070512   .0057362     1.23   0.219    -.0041962    .0182986
            c30farm |   .0005655    .024468     0.02   0.982    -.0474105    .0485415
            iYf_T29 |   .0077882   .0079395     0.98   0.327    -.0077794    .0233557
           MEAN9628 |   .0000486   .0003258     0.15   0.881    -.0005902    .0006875
             c30men |  -.3577396   .2378104    -1.50   0.133    -.8240303    .1085511
           c30black |  -.0558552   .0203206    -2.75   0.006    -.0956992   -.0160112
             c30jap |   .9099017   1.252266     0.73   0.468      -1.5455    3.365303
             c30deu |  -.0636615    .074135    -0.86   0.391     -.209023       .0817
             c30ita |  -.0127728   .1666531    -0.08   0.939    -.3395407    .3139951
             c30vet |    .174779   .1065189     1.64   0.101    -.0340797    .3836376
           lc40wage |   .0468726   .0173354     2.70   0.007      .012882    .0808632
      iwarconpro_PC |   .0037446   .0041745     0.90   0.370    -.0044405    .0119298
      _Istateicps_2 |  -.0250317    .031898    -0.78   0.433    -.0875762    .0375128
      _Istateicps_3 |  -.0045741   .0235867    -0.19   0.846     -.050822    .0416739
      _Istateicps_4 |  -.0250743   .0378757    -0.66   0.508    -.0993398    .0491912
      _Istateicps_5 |   .0652207   .0552908     1.18   0.238    -.0431917    .1736331
      _Istateicps_6 |  -.0172797   .0381392    -0.45   0.651    -.0920618    .0575023
     _Istateicps_11 |  -.0478986   .0265415    -1.80   0.071    -.0999402     .004143
     _Istateicps_12 |  -.0311246   .0227797    -1.37   0.172    -.0757902    .0135411
     _Istateicps_13 |  -.0025082   .0226262    -0.11   0.912    -.0468729    .0418565
     _Istateicps_14 |  -.0311104    .023363    -1.33   0.183    -.0769197    .0146989
     _Istateicps_21 |  -.0326948   .0284231    -1.15   0.250    -.0884259    .0230363
     _Istateicps_22 |  -.0580103   .0289784    -2.00   0.045    -.1148303   -.0011904
     _Istateicps_23 |  -.0276989   .0320477    -0.86   0.387    -.0905369    .0351391
     _Istateicps_24 |  -.0156746   .0277245    -0.57   0.572    -.0700359    .0386866
     _Istateicps_25 |  -.0482374   .0358938    -1.34   0.179    -.1186168     .022142
     _Istateicps_31 |  -.0533314   .0325706    -1.64   0.102    -.1171948     .010532
     _Istateicps_32 |  -.0238164   .0330584    -0.72   0.471    -.0886363    .0410035
     _Istateicps_33 |  -.0335429   .0336455    -1.00   0.319    -.0995138    .0324281
     _Istateicps_34 |  -.0303646   .0263806    -1.15   0.250    -.0820908    .0213615
     _Istateicps_35 |   .0014576   .0360341     0.04   0.968    -.0691968    .0721119
     _Istateicps_36 |  -.0261467   .0333069    -0.79   0.433    -.0914538    .0391604
     _Istateicps_37 |  -.0003195   .0416475    -0.01   0.994    -.0819806    .0813415
     _Istateicps_40 |  -.0220964   .0270844    -0.82   0.415    -.0752026    .0310098
     _Istateicps_41 |  -.0319194   .0255843    -1.25   0.212    -.0820842    .0182454
     _Istateicps_42 |  -.0382946   .0257379    -1.49   0.137    -.0887607    .0121714
     _Istateicps_43 |   .0108962   .0335057     0.33   0.745    -.0548006    .0765931
     _Istateicps_44 |  -.0375322   .0267865    -1.40   0.161    -.0900543    .0149899
     _Istateicps_45 |  -.0330366   .0255661    -1.29   0.196    -.0831657    .0170924
     _Istateicps_46 |   .0004824   .0272541     0.02   0.986    -.0529566    .0539215
     _Istateicps_47 |  -.0396774    .025447    -1.56   0.119     -.089573    .0102181
     _Istateicps_48 |  -.0283733   .0269662    -1.05   0.293    -.0812478    .0245012
     _Istateicps_49 |   .0011347   .0257591     0.04   0.965    -.0493729    .0516423
     _Istateicps_51 |   -.027846   .0262497    -1.06   0.289    -.0793156    .0236236
     _Istateicps_52 |  -.0267102   .0351259    -0.76   0.447    -.0955839    .0421636
     _Istateicps_53 |  -.0129195   .0267374    -0.48   0.629    -.0653453    .0395063
     _Istateicps_54 |  -.0314621   .0256836    -1.22   0.221    -.0818215    .0188974
     _Istateicps_56 |  -.0164106   .0271196    -0.61   0.545    -.0695858    .0367645
     _Istateicps_61 |   .0230253   .0414205     0.56   0.578    -.0581906    .1042413
     _Istateicps_62 |  -.0132316   .0333976    -0.40   0.692    -.0787165    .0522532
     _Istateicps_63 |   .0206755   .0414953     0.50   0.618    -.0606871     .102038
     _Istateicps_64 |   .1254853   .0462749     2.71   0.007      .034751    .2162195
     _Istateicps_65 |   .0156433    .059707     0.26   0.793    -.1014281    .1327147
     _Istateicps_66 |  -.0081226   .0326986    -0.25   0.804    -.0722368    .0559917
     _Istateicps_67 |   .0170738   .0424361     0.40   0.687    -.0661336    .1002811
     _Istateicps_68 |   .0230928   .0495669     0.47   0.641    -.0740963     .120282
     _Istateicps_71 |   .0677795   .0557126     1.22   0.224      -.04146     .177019
     _Istateicps_72 |   .0017576   .0377113     0.05   0.963    -.0721855    .0757007
     _Istateicps_73 |   .0370456    .035935     1.03   0.303    -.0334145    .1075057
     _Istateicps_98 |          0  (omitted)
              _cons |  -.0098758   .1802759    -0.05   0.956    -.3633547    .3436032
-------------------------------------------------------------------------------------
(est7 stored)

.                 qui: sum   ww2_awards_pop40_is         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.143"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. eststo: xi:   reg  ww2_awards_pop40_is                 iSUM3MO_DROUGHT3340 iAGRI_T73  $control if sample_ols == 1, cluster(CLIMDIVX) 
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 338)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1482
                                                Root MSE          =     .12261

                                    (Std. Err. adjusted for 339 clusters in CLIMDIVX)
-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0127046   .0041367     3.07   0.002     .0045677    .0208415
          iAGRI_T73 |   .0159884   .0058276     2.74   0.006     .0045255    .0274512
         ww1_vol_sh |   .0443783   .0162794     2.73   0.007     .0123566    .0763999
ww1_awards_pop10_is |   .0428034   .0348985     1.23   0.221    -.0258423    .1114491
             lpop30 |  -.0108764   .0113776    -0.96   0.340    -.0332563    .0115034
           c30unemp |   .0485211   .1354865     0.36   0.720    -.2179819     .315024
          c30urban1 |   .0084181   .0056513     1.49   0.137     -.002698    .0195342
            c30farm |  -.0036975   .0244655    -0.15   0.880    -.0518214    .0444264
            iYf_T29 |   .0116957    .008477     1.38   0.169    -.0049787      .02837
           MEAN9628 |    .000057   .0003477     0.16   0.870     -.000627    .0007409
             c30men |  -.3866245   .2200511    -1.76   0.080    -.8194666    .0462176
           c30black |   -.055726   .0205798    -2.71   0.007    -.0962067   -.0152453
             c30jap |    .779586   1.188071     0.66   0.512    -1.557357    3.116529
             c30deu |  -.0596804   .0777803    -0.77   0.443    -.2126749     .093314
             c30ita |  -.0382525   .1769127    -0.22   0.829    -.3862412    .3097362
             c30vet |   .1821722   .1064161     1.71   0.088    -.0271491    .3914935
           lc40wage |   .0431409   .0180852     2.39   0.018     .0075672    .0787145
      iwarconpro_PC |   .0034752   .0040565     0.86   0.392     -.004504    .0114543
      _Istateicps_2 |  -.0469054   .0315821    -1.49   0.138    -.1090276    .0152169
      _Istateicps_3 |  -.0069706   .0160063    -0.44   0.663    -.0384552    .0245139
      _Istateicps_4 |  -.0488955   .0246629    -1.98   0.048    -.0974077   -.0003834
      _Istateicps_5 |   .0612595   .0129685     4.72   0.000     .0357503    .0867686
      _Istateicps_6 |  -.0301897   .0312001    -0.97   0.334    -.0915604    .0311811
     _Istateicps_11 |  -.0529045   .0228425    -2.32   0.021    -.0978357   -.0079732
     _Istateicps_12 |  -.0349973   .0120457    -2.91   0.004    -.0586913   -.0113033
     _Istateicps_13 |  -.0291265   .0194594    -1.50   0.135    -.0674033    .0091502
     _Istateicps_14 |  -.0534141   .0183681    -2.91   0.004    -.0895444   -.0172838
     _Istateicps_21 |  -.0561825   .0289883    -1.94   0.053    -.1132028    .0008378
     _Istateicps_22 |  -.0856017   .0290791    -2.94   0.003    -.1428006   -.0284028
     _Istateicps_23 |  -.0587946   .0326482    -1.80   0.073     -.123014    .0054247
     _Istateicps_24 |  -.0462964   .0267772    -1.73   0.085    -.0989673    .0063746
     _Istateicps_25 |  -.0777397    .037034    -2.10   0.037    -.1505858   -.0048935
     _Istateicps_31 |  -.0803071   .0338479    -2.37   0.018    -.1468862    -.013728
     _Istateicps_32 |  -.0580375   .0334135    -1.74   0.083    -.1237621     .007687
     _Istateicps_33 |  -.0598628   .0365503    -1.64   0.102    -.1317574    .0120319
     _Istateicps_34 |  -.0592859   .0241211    -2.46   0.014    -.1067323   -.0118395
     _Istateicps_35 |  -.0259942   .0424086    -0.61   0.540    -.1094121    .0574237
     _Istateicps_36 |  -.0353046   .0358419    -0.99   0.325     -.105806    .0351968
     _Istateicps_37 |  -.0193451   .0388002    -0.50   0.618    -.0956653    .0569752
     _Istateicps_40 |  -.0328921   .0218305    -1.51   0.133    -.0758329    .0100487
     _Istateicps_41 |   -.035894   .0191111    -1.88   0.061    -.0734856    .0016976
     _Istateicps_42 |  -.0717295   .0214662    -3.34   0.001    -.1139536   -.0295054
     _Istateicps_43 |   .0008936    .029318     0.03   0.976    -.0567751    .0585624
     _Istateicps_44 |  -.0423361   .0220803    -1.92   0.056    -.0857682     .001096
     _Istateicps_45 |  -.0394274   .0191803    -2.06   0.041    -.0771552   -.0016996
     _Istateicps_46 |  -.0206075   .0209307    -0.98   0.326    -.0617783    .0205633
     _Istateicps_47 |  -.0477177   .0192779    -2.48   0.014    -.0856374    -.009798
     _Istateicps_48 |  -.0477725   .0221437    -2.16   0.032    -.0913294   -.0042156
     _Istateicps_49 |  -.0139135   .0220102    -0.63   0.528    -.0572077    .0293807
     _Istateicps_51 |  -.0541372   .0223478    -2.42   0.016    -.0980955   -.0101789
     _Istateicps_52 |  -.0299222   .0290233    -1.03   0.303    -.0870113    .0271669
     _Istateicps_53 |  -.0396731   .0238131    -1.67   0.097    -.0865135    .0071674
     _Istateicps_54 |  -.0564085   .0191515    -2.95   0.003    -.0940797   -.0187373
     _Istateicps_56 |  -.0383803   .0195923    -1.96   0.051    -.0769185    .0001579
     _Istateicps_61 |   .0014687   .0480662     0.03   0.976    -.0930779    .0960153
     _Istateicps_62 |  -.0494513   .0356821    -1.39   0.167    -.1196383    .0207357
     _Istateicps_63 |  -.0053483   .0424227    -0.13   0.900     -.088794    .0780974
     _Istateicps_64 |   .1064139   .0662912     1.61   0.109    -.0239813    .2368091
     _Istateicps_65 |  -.0053934   .0597984    -0.09   0.928    -.1230173    .1122306
     _Istateicps_66 |  -.0274101   .0371874    -0.74   0.462     -.100558    .0457377
     _Istateicps_67 |  -.0068795   .0403449    -0.17   0.865    -.0862383    .0724793
     _Istateicps_68 |   .0078779   .0474423     0.17   0.868    -.0854415    .1011973
     _Istateicps_71 |   .0622444    .054306     1.15   0.253    -.0445758    .1690647
     _Istateicps_72 |  -.0265607    .039744    -0.67   0.504    -.1047374    .0516159
     _Istateicps_73 |   .0222019   .0328459     0.68   0.500    -.0424062      .08681
     _Istateicps_98 |          0  (omitted)
              _cons |   .1098924   .1742905     0.63   0.529    -.2329383     .452723
-------------------------------------------------------------------------------------
(est8 stored)

.                 qui: sum   ww2_awards_pop40_is         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.143"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. eststo: xi: ivreg2 ww2_awards_pop40_is      (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1, cluster(CLIMDIVX)  first
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

First-stage regressions
-----------------------


First-stage regression of iAGRI_PF:

Statistics robust to heteroskedasticity and clustering on CLIMDIVX
Number of obs =                   3022
Number of clusters (CLIMDIVX) =    339
-------------------------------------------------------------------------------------
                    |               Robust
           iAGRI_PF |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2862852   .0597948     4.79   0.000     .1690414    .4035289
          iAGRI_T73 |   .2998687   .0796153     3.77   0.000     .1437617    .4559758
         ww1_vol_sh |   .0007242   .0803196     0.01   0.993    -.1567638    .1582122
ww1_awards_pop10_is |   .0663441   .1506976     0.44   0.660    -.2291388    .3618269
             lpop30 |  -.1676359   .0422814    -3.96   0.000    -.2505399    -.084732
           c30unemp |  -1.472645   .6194849    -2.38   0.018     -2.68731   -.2579794
          c30urban1 |    .148546   .0433082     3.43   0.001     .0636288    .2334632
            c30farm |   .3298366   .3020545     1.09   0.275    -.2624218     .922095
            iYf_T29 |   .2837307   .0720697     3.94   0.000     .1424189    .4250426
           MEAN9628 |   .0086956   .0030049     2.89   0.004     .0028036    .0145875
             c30men |  -1.236684   1.645347    -0.75   0.452    -4.462826    1.989458
           c30black |  -.1929355   .2900599    -0.67   0.506    -.7616753    .3758043
             c30jap |   .2245796   4.425876     0.05   0.960     -8.45353     8.90269
             c30deu |   .6237568   .6041074     1.03   0.302     -.560757    1.808271
             c30ita |  -1.332877   1.008913    -1.32   0.187    -3.311121    .6453665
             c30vet |   1.575608   .6982832     2.26   0.024     .2064374    2.944778
           lc40wage |   .0803572   .1457565     0.55   0.581    -.2054373    .3661518
      iwarconpro_PC |  -.0118192   .0289969    -0.41   0.684    -.0686754    .0450369
      _Istateicps_2 |   -1.43588   .3440033    -4.17   0.000    -2.110391   -.7613702
      _Istateicps_3 |  -.0402589   .1288011    -0.31   0.755    -.2928078    .2122899
      _Istateicps_4 |  -1.379023   .1627279    -8.47   0.000    -1.698094   -1.059951
      _Istateicps_5 |  -.2991819   .1135336    -2.64   0.008    -.5217949   -.0765689
      _Istateicps_6 |  -1.034047   .1998951    -5.17   0.000    -1.425995   -.6420996
     _Istateicps_11 |  -.4316568   .3317822    -1.30   0.193    -1.082204    .2188907
     _Istateicps_12 |  -.2870182    .179687    -1.60   0.110    -.6393426    .0653061
     _Istateicps_13 |  -1.216242   .1933922    -6.29   0.000    -1.595439   -.8370451
     _Istateicps_14 |  -1.243835    .174084    -7.15   0.000    -1.585173   -.9024966
     _Istateicps_21 |   -.253832   .2816172    -0.90   0.367    -.8060178    .2983537
     _Istateicps_22 |  -.5909109    .264616    -2.23   0.026    -1.109761   -.0720608
     _Istateicps_23 |  -.8642328   .2411458    -3.58   0.000    -1.337064   -.3914021
     _Istateicps_24 |  -.8508278   .2307256    -3.69   0.000    -1.303227   -.3984286
     _Istateicps_25 |  -.5773775   .2544462    -2.27   0.023    -1.076287   -.0784677
     _Istateicps_31 |  -.0240282   .2416335    -0.10   0.921    -.4978152    .4497588
     _Istateicps_32 |   .1105492   .3310292     0.33   0.738    -.5385219    .7596202
     _Istateicps_33 |  -.2921672   .3132663    -0.93   0.351    -.9064094    .3220749
     _Istateicps_34 |  -.7874665   .2629334    -2.99   0.003    -1.303018   -.2719154
     _Istateicps_35 |   .0669056   .3246489     0.21   0.837    -.5696553    .7034664
     _Istateicps_36 |   1.146903   .2682436     4.28   0.000     .6209397    1.672866
     _Istateicps_37 |    .473284   .2917803     1.62   0.105    -.0988291    1.045397
     _Istateicps_40 |  -1.137069   .2008682    -5.66   0.000    -1.530925   -.7432132
     _Istateicps_41 |   -.537975   .1995163    -2.70   0.007    -.9291799   -.1467701
     _Istateicps_42 |   -1.17143   .2348102    -4.99   0.000    -1.631838   -.7110219
     _Istateicps_43 |  -.8949865   .2968767    -3.01   0.003    -1.477093   -.3128805
     _Istateicps_44 |  -.4848957    .212913    -2.28   0.023    -.9023686   -.0674229
     _Istateicps_45 |  -.5737398   .2966003    -1.93   0.053    -1.155304    .0078243
     _Istateicps_46 |  -1.236151   .2605803    -4.74   0.000    -1.747088   -.7252136
     _Istateicps_47 |  -.6703443    .258279    -2.60   0.009    -1.176769   -.1639194
     _Istateicps_48 |  -.7444691   .2630676    -2.83   0.005    -1.260283   -.2286549
     _Istateicps_49 |   -.029522   .3045483    -0.10   0.923    -.6266702    .5676262
     _Istateicps_51 |  -1.113087   .3840741    -2.90   0.004    -1.866166   -.3600071
     _Istateicps_52 |  -.3495761   .2007273    -1.74   0.082    -.7431556    .0440033
     _Istateicps_53 |  -.4779369   .2867284    -1.67   0.096    -1.040144    .0842706
     _Istateicps_54 |  -1.150328   .2268717    -5.07   0.000    -1.595171   -.7054856
     _Istateicps_56 |  -1.614531   .2369028    -6.82   0.000    -2.079042    -1.15002
     _Istateicps_61 |  -.7580026   .4074942    -1.86   0.063    -1.557004    .0409985
     _Istateicps_62 |  -.8764677   .3085737    -2.84   0.005    -1.481509   -.2714267
     _Istateicps_63 |  -.4109925   .3109273    -1.32   0.186    -1.020648    .1986634
     _Istateicps_64 |    .145309   .4018568     0.36   0.718    -.6426385    .9332566
     _Istateicps_65 |  -.6095988   .4038237    -1.51   0.131    -1.401403    .1822053
     _Istateicps_66 |  -.3683481    .403032    -0.91   0.361      -1.1586    .4219036
     _Istateicps_67 |  -.5679013   .2816253    -2.02   0.044    -1.120103   -.0156999
     _Istateicps_68 |   .3464281   .3166121     1.09   0.274    -.2743744    .9672306
     _Istateicps_71 |   .2262248   .2408516     0.94   0.348    -.2460291    .6984786
     _Istateicps_72 |  -.5221794   .3207505    -1.63   0.104    -1.151096    .1067375
     _Istateicps_73 |  -.4120003   .3391093    -1.21   0.224    -1.076914    .2529139
     _Istateicps_98 |          0  (omitted)
              _cons |    6.77447   1.585028     4.27   0.000       3.6666    9.882341
-------------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  2,   338) =    16.38
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   338)  P-val | SW Chi-sq(  2) P-val | SW F(  2,   338)
iAGRI_PF     |      16.38    0.0000 |       33.59   0.0000 |       16.38

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(2)=16.14    P-val=0.0003

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     134.55
Kleibergen-Paap Wald rk F statistic                                16.38

Stock-Yogo weak ID test critical values for K1=1 and L1=2:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,338)=      10.57     P-val=0.0000
Anderson-Rubin Wald test           Chi-sq(2)=     21.68     P-val=0.0000
Stock-Wright LM S statistic        Chi-sq(2)=         .     P-val=     .

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        339
Number of observations               N  =       3022
Number of regressors                 K  =         65
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         66
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   332.38
                                                      Prob > F      =   0.0000
Total (centered) SS     =  52.17164997                Centered R2   =   0.1089
Total (uncentered) SS   =  113.6808264                Uncentered R2 =   0.5910
Residual SS             =  46.49229708                Root MSE      =     .124

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0483377     .01082     4.47   0.000      .027131    .0695445
         ww1_vol_sh |   .0444161   .0165906     2.68   0.007      .011899    .0769331
ww1_awards_pop10_is |   .0395495   .0363216     1.09   0.276    -.0316394    .1107385
             lpop30 |  -.0028287    .011374    -0.25   0.804    -.0251214     .019464
           c30unemp |   .1194805   .1416622     0.84   0.399    -.1581723    .3971333
          c30urban1 |   .0012417   .0061577     0.20   0.840    -.0108271    .0133105
            c30farm |  -.0198174    .028329    -0.70   0.484    -.0753412    .0357063
            iYf_T29 |  -.0019083   .0093408    -0.20   0.838    -.0202159    .0163993
           MEAN9628 |   -.000367   .0003585    -1.02   0.306    -.0010697    .0003357
             c30men |  -.3250003   .2188836    -1.48   0.138    -.7540043    .1040036
           c30black |  -.0467015   .0219363    -2.13   0.033    -.0896958   -.0037071
             c30jap |   .7688281   1.177601     0.65   0.514    -1.539227    3.076883
             c30deu |  -.0900167   .0765689    -1.18   0.240    -.2400889    .0600555
             c30ita |   .0239742   .1786866     0.13   0.893    -.3262452    .3741935
             c30vet |   .1054161   .1102775     0.96   0.339    -.1107239     .321556
           lc40wage |   .0393009   .0196438     2.00   0.045     .0007997     .077802
      iwarconpro_PC |   .0040379   .0041833     0.97   0.334    -.0041613    .0122371
      _Istateicps_2 |   .0226831   .0283628     0.80   0.424    -.0329069    .0782731
      _Istateicps_3 |  -.0051665   .0164136    -0.31   0.753    -.0373365    .0270036
      _Istateicps_4 |   .0182634   .0274613     0.67   0.506    -.0355597    .0720865
      _Istateicps_5 |   .0756745   .0133539     5.67   0.000     .0495013    .1018478
      _Istateicps_6 |   .0195036   .0349817     0.56   0.577    -.0490593    .0880665
     _Istateicps_11 |  -.0321916    .016896    -1.91   0.057    -.0653071    .0009239
     _Istateicps_12 |  -.0212573   .0147273    -1.44   0.149    -.0501224    .0076078
     _Istateicps_13 |   .0285673   .0209792     1.36   0.173    -.0125511    .0696857
     _Istateicps_14 |   .0058661   .0205619     0.29   0.775    -.0344346    .0461668
     _Istateicps_21 |  -.0468453    .028404    -1.65   0.099     -.102516    .0088254
     _Istateicps_22 |  -.0600589   .0256113    -2.35   0.019    -.1102561   -.0098617
     _Istateicps_23 |  -.0197846   .0294908    -0.67   0.502    -.0775855    .0380163
     _Istateicps_24 |  -.0076714   .0231338    -0.33   0.740    -.0530129    .0376701
     _Istateicps_25 |  -.0524505   .0334246    -1.57   0.117    -.1179616    .0130606
     _Istateicps_31 |  -.0820358   .0311644    -2.63   0.008    -.1431169   -.0209546
     _Istateicps_32 |  -.0663573   .0358469    -1.85   0.064     -.136616    .0039014
     _Istateicps_33 |  -.0491092   .0363829    -1.35   0.177    -.1204184    .0222001
     _Istateicps_34 |  -.0240632   .0225787    -1.07   0.287    -.0683167    .0201902
     _Istateicps_35 |  -.0333592   .0380868    -0.88   0.381     -.108008    .0412896
     _Istateicps_36 |  -.0941574    .040126    -2.35   0.019    -.1728029   -.0155118
     _Istateicps_37 |  -.0459772   .0374308    -1.23   0.219    -.1193402    .0273859
     _Istateicps_40 |   .0220515   .0243417     0.91   0.365    -.0256572    .0697603
     _Istateicps_41 |  -.0097878   .0203011    -0.48   0.630    -.0495771    .0300016
     _Istateicps_42 |   -.016947   .0197118    -0.86   0.390    -.0555815    .0216875
     _Istateicps_43 |   .0440043    .030676     1.43   0.151    -.0161196    .1041281
     _Istateicps_44 |  -.0190102   .0237093    -0.80   0.423    -.0654796    .0274591
     _Istateicps_45 |  -.0120434   .0244398    -0.49   0.622    -.0599445    .0358577
     _Istateicps_46 |   .0386592   .0230736     1.68   0.094    -.0065643    .0838827
     _Istateicps_47 |  -.0155942    .021761    -0.72   0.474    -.0582451    .0270566
     _Istateicps_48 |  -.0120076   .0212964    -0.56   0.573    -.0537478    .0297326
     _Istateicps_49 |  -.0134897   .0249739    -0.54   0.589    -.0624376    .0354583
     _Istateicps_51 |  -.0023016   .0244661    -0.09   0.925    -.0502543    .0456512
     _Istateicps_52 |   -.013188   .0303042    -0.44   0.663    -.0725833    .0462072
     _Istateicps_53 |  -.0196085   .0219751    -0.89   0.372    -.0626788    .0234619
     _Istateicps_54 |  -.0017195   .0218587    -0.08   0.937    -.0445618    .0411228
     _Istateicps_56 |   .0390672   .0255624     1.53   0.126    -.0110343    .0891686
     _Istateicps_61 |   .0359286   .0417784     0.86   0.390    -.0459556    .1178129
     _Istateicps_62 |  -.0102047   .0321071    -0.32   0.751    -.0731334     .052724
     _Istateicps_63 |   .0110083   .0370622     0.30   0.766    -.0616322    .0836489
     _Istateicps_64 |    .095881   .0678158     1.41   0.157    -.0370355    .2287975
     _Istateicps_65 |   .0211586   .0482267     0.44   0.661     -.073364    .1156811
     _Istateicps_66 |  -.0118704   .0329024    -0.36   0.718     -.076358    .0526172
     _Istateicps_67 |   .0177523   .0353704     0.50   0.616    -.0515725    .0870771
     _Istateicps_68 |  -.0121825   .0465059    -0.26   0.793    -.1033324    .0789674
     _Istateicps_71 |   .0495927   .0554207     0.89   0.371    -.0590299    .1582154
     _Istateicps_72 |  -.0034693   .0416074    -0.08   0.934    -.0850183    .0780798
     _Istateicps_73 |   .0401677   .0309244     1.30   0.194    -.0204431    .1007785
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2181132   .2089621    -1.04   0.297    -.6276713     .191445
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------
(est9 stored)

. estadd local RA_test = string(`e(arfp)', "%4.3f")

added macro:
            e(RA_test) : "0.000"

.                 qui: sum   ww2_awards_pop40_is         if e(sample) == 1

. estadd local y_mean_round = string(r(mean), "%9.3f")

added macro:
       e(y_mean_round) : "0.143"

. estadd local sample "Yes"

added macro:
             e(sample) : "Yes"

. 
. esttab using "results/tables/AppTab17_service_command7.tex" ,                             ///
>         order(iAGRI_PF iSUM3MO_DROUGHT3340 iAGRI_T73)                                      ///
>         drop(_cons)                                                                        ///
>         indicate("County-level controls = $control_nofe" "State FE (48) = *state*")        ///
>         mgroups("log war bonds p.c." "Volunteers p.c." "Medals p.c.", pattern(1 0 0 1 0 0 1 0 0)     ///
>                         prefix(\multicolumn{@span}{c}{) suffix(})                                  ///
>                         span erepeat(\cmidrule(lr){@span}))                                        ///
>         mlabel("OLS" "RF" "2SLS" "OLS" "RF" "2SLS" "OLS" "RF" "2SLS")                      ///
>         replace br se  label star(* 0.10 ** 0.05 *** 0.01)                                 ///
>         obslast nomtitles  compress longtable                                              ///
>         title(Robust: The Impact of Service Command 7.\label{tab:sc7})                     ///
>         b(%9.3f) se(%9.3f) r2(%9.3f)                                                       ///
>         nogaps nonotes                                                                     ///
>         scalars("sample Sample includes S.C. \#7?" "y_mean_round Mean dependent variable" "RA_test Rubin-Anderson test (p-value)" )
(output written to results/tables/AppTab17_service_command7.tex)

. 
. 
. ***************************************************************************************************
. ****     II. Figures                                                                           ****
. ****         Fig 1. Heterogeneity by cattle ranching                                               ****
. ***************************************************************************************************
. estimates clear 

. local n 0

. local dependents iwarbond_1944_PC ww2_vol_pop40 ww2_awards_pop40_is pc1

. 
. foreach dependent of local dependents {
  2.         if "`dependent'" == "iwarbond_1944_PC"    local cond
  3.         if "`dependent'" == "iwarbond_1944_PC"    local splits = "median_above1==1 median_below1==1"
  4.         if "`dependent'" == "ww2_vol_pop40"       local cond              "& servicecommand != 7"
  5.         if "`dependent'" == "ww2_vol_pop40"       local splits = "median_above2==1 median_below2==1"
  6.         if "`dependent'" == "ww2_awards_pop40_is" local cond              "& servicecommand != 7"
  7.         if "`dependent'" == "ww2_awards_pop40_is" local splits = "median_above2==1 median_below2==1"
  8.         if "`dependent'" == "pc1"                                 local cond              "& servicecommand != 7"
  9.         if "`dependent'" == "pc1"                         local splits = "median_above2==1 median_below2==1"
 10. 
.         foreach sample of local splits {
 11.                 local n = `n' + 1
 12.                 xi: reg `dependent' iAGRI_PF $control if sample_ols == 1 `cond' & `sample', r
 13.                 local b`n' =  _b[iAGRI_PF]
 14.                 local s`n' = _se[iAGRI_PF]
 15.         } /* foreach sample */
 16. } /* foreach dependent */
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_41 omitted because of collinearity
note: _Istateicps_47 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,511
                                                F(59, 1449)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5164
                                                Root MSE          =     .38848

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1894913    .023687     8.00   0.000     .1430268    .2359557
         ww1_vol_sh |  -.0418202   .0449209    -0.93   0.352    -.1299371    .0462968
ww1_awards_pop10_is |   .2092902   .1059087     1.98   0.048     .0015394     .417041
             lpop30 |   .0410619   .0440755     0.93   0.352    -.0453967    .1275206
           c30unemp |  -.8033438   .4092417    -1.96   0.050    -1.606113   -.0005743
          c30urban1 |  -.0161608   .0394274    -0.41   0.682    -.0935017    .0611801
            c30farm |  -.3112337   .1769748    -1.76   0.079    -.6583879    .0359205
            iYf_T29 |   .0344526   .0278905     1.24   0.217    -.0202575    .0891627
           MEAN9628 |  -.0031913   .0015976    -2.00   0.046    -.0063251   -.0000574
             c30men |  -.4135264   1.062212    -0.39   0.697    -2.497165    1.670112
           c30black |  -.1620256   .2908615    -0.56   0.578    -.7325802     .408529
             c30jap |   7.218852   3.108391     2.32   0.020     1.121424    13.31628
             c30deu |   .5044724   .1918165     2.63   0.009     .1282047    .8807401
             c30ita |  -.2877918   .8277578    -0.35   0.728    -1.911523     1.33594
             c30vet |  -.8038902   1.615013    -0.50   0.619    -3.971903    2.364123
           lc40wage |   .3604211   .0878047     4.10   0.000     .1881832    .5326591
      iwarconpro_PC |   .2623136   .0344825     7.61   0.000     .1946727    .3299545
      _Istateicps_2 |  -.2608134   .1633603    -1.60   0.111    -.5812614    .0596346
      _Istateicps_3 |  -.2125744    .209802    -1.01   0.311    -.6241224    .1989737
      _Istateicps_4 |  -.2301901   .2114692    -1.09   0.277    -.6450086    .1846283
      _Istateicps_5 |  -.2098297   .5217182    -0.40   0.688    -1.233233     .813574
      _Istateicps_6 |  -.2843222   .1730105    -1.64   0.101    -.6236999    .0550556
     _Istateicps_11 |  -.0999441   .1543492    -0.65   0.517    -.4027158    .2028277
     _Istateicps_12 |  -.2518148   .2045064    -1.23   0.218    -.6529751    .1493454
     _Istateicps_13 |  -.1838817   .1501276    -1.22   0.221    -.4783724     .110609
     _Istateicps_14 |  -.2046923   .1595914    -1.28   0.200    -.5177472    .1083626
     _Istateicps_21 |  -.2293946   .1642535    -1.40   0.163    -.5515948    .0928055
     _Istateicps_22 |  -.2296937    .166798    -1.38   0.169    -.5568851    .0974978
     _Istateicps_23 |  -.3639886   .1650639    -2.21   0.028    -.6877784   -.0401988
     _Istateicps_24 |  -.3474272    .174153    -1.99   0.046    -.6890462   -.0058082
     _Istateicps_25 |  -.3132822   .1660113    -1.89   0.059    -.6389304     .012366
     _Istateicps_31 |   .1736853   .1716854     1.01   0.312    -.1630931    .5104638
     _Istateicps_32 |   .0517165   .1784887     0.29   0.772    -.2984074    .4018404
     _Istateicps_33 |  -.0619402   .1743138    -0.36   0.722    -.4038747    .2799942
     _Istateicps_34 |   -.287096   .1675696    -1.71   0.087     -.615801    .0416089
     _Istateicps_35 |   .1308077    .177245     0.74   0.461    -.2168765    .4784919
     _Istateicps_36 |   .0617109   .1902706     0.32   0.746    -.3115244    .4349463
     _Istateicps_37 |  -.0455708   .1760896    -0.26   0.796    -.3909886     .299847
     _Istateicps_40 |   -.268666   .1948459    -1.38   0.168    -.6508762    .1135443
     _Istateicps_41 |          0  (omitted)
     _Istateicps_42 |  -.2418378   .2225019    -1.09   0.277     -.678298    .1946225
     _Istateicps_43 |   .0028615   .2918174     0.01   0.992    -.5695682    .5752912
     _Istateicps_44 |   -.328224    .312977    -1.05   0.294    -.9421605    .2857125
     _Istateicps_45 |  -.2852813   .2656175    -1.07   0.283    -.8063172    .2357545
     _Istateicps_46 |   .2409427   .2892277     0.83   0.405    -.3264072    .8082925
     _Istateicps_47 |          0  (omitted)
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |  -.0860422   .1937513    -0.44   0.657    -.4661053    .2940209
     _Istateicps_51 |  -.5258043   .2109441    -2.49   0.013    -.9395927   -.1120159
     _Istateicps_52 |  -.4682443    .233166    -2.01   0.045    -.9256233   -.0108653
     _Istateicps_53 |  -.1826975   .1865017    -0.98   0.327    -.5485398    .1831447
     _Istateicps_54 |  -.1994075   .1836142    -1.09   0.278    -.5595856    .1607706
     _Istateicps_56 |  -.4321421    .187102    -2.31   0.021    -.7991618   -.0651224
     _Istateicps_61 |  -.1611722    .206081    -0.78   0.434    -.5654212    .2430769
     _Istateicps_62 |  -.1198265   .1875132    -0.64   0.523    -.4876529    .2479999
     _Istateicps_63 |  -.0836472   .2123901    -0.39   0.694    -.5002721    .3329776
     _Istateicps_64 |   .2784631   .1906706     1.46   0.144    -.0955568     .652483
     _Istateicps_65 |    .030729   .2259629     0.14   0.892    -.4125205    .4739785
     _Istateicps_66 |  -.4190007   .2124991    -1.97   0.049    -.8358395   -.0021619
     _Istateicps_67 |  -.3267399   .1927012    -1.70   0.090     -.704743    .0512632
     _Istateicps_68 |   .0841907   .2323952     0.36   0.717    -.3716763    .5400577
     _Istateicps_71 |   -.180497   .1802965    -1.00   0.317     -.534167    .1731731
     _Istateicps_72 |   .3188682   .1928888     1.65   0.099     -.059503    .6972394
     _Istateicps_73 |   .0778865   .1976791     0.39   0.694    -.3098812    .4656543
     _Istateicps_98 |          0  (omitted)
              _cons |   1.394839   1.015285     1.37   0.170    -.5967466    3.386424
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_65 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,511
                                                F(55, 1453)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6986
                                                Root MSE          =     .37359

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0941547    .018552     5.08   0.000     .0577632    .1305462
         ww1_vol_sh |   .0417277   .0518093     0.81   0.421    -.0599012    .1433567
ww1_awards_pop10_is |   .2006278   .1237051     1.62   0.105    -.0420319    .4432875
             lpop30 |  -.0900667   .0187567    -4.80   0.000    -.1268599   -.0532735
           c30unemp |   .2863624   .3354138     0.85   0.393    -.3715847    .9443094
          c30urban1 |   .1161097   .0286854     4.05   0.000     .0598406    .1723788
            c30farm |  -.5676036   .1035028    -5.48   0.000    -.7706345   -.3645727
            iYf_T29 |   .1228916   .0299749     4.10   0.000      .064093    .1816903
           MEAN9628 |   .0068458   .0011394     6.01   0.000     .0046108    .0090808
             c30men |  -2.425921   .8642619    -2.81   0.005    -4.121256   -.7305867
           c30black |  -.3166798   .0965006    -3.28   0.001    -.5059752   -.1273845
             c30jap |  -.0703595   2.516134    -0.03   0.978    -5.006002    4.865283
             c30deu |   .9537213   .3769731     2.53   0.012     .2142517    1.693191
             c30ita |   .5914579    .681804     0.87   0.386    -.7459674    1.928883
             c30vet |   1.093697   .4265907     2.56   0.010     .2568975    1.930496
           lc40wage |   .5556618   .0766211     7.25   0.000     .4053621    .7059615
      iwarconpro_PC |   .2917844    .026451    11.03   0.000     .2398982    .3436706
      _Istateicps_2 |   .1707188     .15581     1.10   0.273    -.1349178    .4763555
      _Istateicps_3 |   -.023785   .1504989    -0.16   0.874    -.3190034    .2714334
      _Istateicps_4 |   .2123292    .231656     0.92   0.360    -.2420867    .6667452
      _Istateicps_5 |    -.54318   .4378317    -1.24   0.215     -1.40203    .3156697
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |   .6525619   .1996333     3.27   0.001     .2609617    1.044162
     _Istateicps_12 |   .0066187   .1512281     0.04   0.965    -.2900302    .3032675
     _Istateicps_13 |   .1516026   .1341253     1.13   0.259    -.1114974    .4147026
     _Istateicps_14 |   .3127507   .1259298     2.48   0.013      .065727    .5597743
     _Istateicps_21 |     .39019   .1341765     2.91   0.004     .1269897    .6533903
     _Istateicps_22 |    .273015   .1338413     2.04   0.042     .0104721    .5355578
     _Istateicps_23 |   .3514847   .1359014     2.59   0.010     .0849007    .6180687
     _Istateicps_24 |   .2570397   .1291544     1.99   0.047     .0036908    .5103886
     _Istateicps_25 |   .2596455   .1654786     1.57   0.117     -.064957    .5842481
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |   .4678043   .4329797     1.08   0.280    -.3815278    1.317136
     _Istateicps_33 |   .6401915    .160306     3.99   0.000     .3257355    .9546474
     _Istateicps_34 |   .1811661   .1509291     1.20   0.230    -.1148961    .4772283
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |   .4395902   .1460965     3.01   0.003     .1530076    .7261728
     _Istateicps_40 |   .3230862   .1464087     2.21   0.027     .0358912    .6102813
     _Istateicps_41 |   .2952204   .1405136     2.10   0.036     .0195893    .5708515
     _Istateicps_42 |  -.0708967   .1429428    -0.50   0.620    -.3512931    .2094996
     _Istateicps_43 |   .1003431    .150561     0.67   0.505    -.1949971    .3956833
     _Istateicps_44 |    .106678   .1417666     0.75   0.452     -.171411     .384767
     _Istateicps_45 |  -.0732827   .1406151    -0.52   0.602     -.349113    .2025477
     _Istateicps_46 |   .1314315   .1436415     0.91   0.360    -.1503355    .4131985
     _Istateicps_47 |     .19775   .1390888     1.42   0.155    -.0750863    .4705863
     _Istateicps_48 |  -.2160713   .1568066    -1.38   0.168    -.5236627    .0915202
     _Istateicps_49 |   .2857561   .1393181     2.05   0.040       .01247    .5590422
     _Istateicps_51 |   .0807599   .1360009     0.59   0.553    -.1860192     .347539
     _Istateicps_52 |   .2638056   .1864352     1.41   0.157    -.1019053    .6295166
     _Istateicps_53 |   .3402775   .1420287     2.40   0.017     .0616742    .6188808
     _Istateicps_54 |   .1860875   .1375227     1.35   0.176    -.0836767    .4558518
     _Istateicps_56 |   .1703643   .1394835     1.22   0.222    -.1032464    .4439749
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |   .0842206   .2705997     0.31   0.756    -.4465872    .6150283
     _Istateicps_63 |   .4712427   .1556901     3.03   0.003     .1658413    .7766441
     _Istateicps_64 |   .3642405   .1558498     2.34   0.020     .0585258    .6699552
     _Istateicps_65 |          0  (omitted)
     _Istateicps_66 |  -.0890076   .2091248    -0.43   0.670    -.4992265    .3212113
     _Istateicps_67 |   .2630995   .1299747     2.02   0.043     .0081413    .5180576
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .5565011   .1578407     3.53   0.000     .2468812     .866121
     _Istateicps_72 |   .7459873   .1495847     4.99   0.000     .4525622    1.039412
     _Istateicps_73 |   .7950715   .2370262     3.35   0.001     .3301215    1.260022
     _Istateicps_98 |          0  (omitted)
              _cons |   1.446671   .6960861     2.08   0.038       .08123    2.812112
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,165
                                                F(52, 1110)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5873
                                                Root MSE          =     .23859

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0691917   .0099584     6.95   0.000     .0496523     .088731
         ww1_vol_sh |   .1407464   .0411996     3.42   0.001     .0599085    .2215843
ww1_awards_pop10_is |   .0629444    .118555     0.53   0.596    -.1696727    .2955615
             lpop30 |  -.0300241   .0187504    -1.60   0.110    -.0668142    .0067661
           c30unemp |    1.05384   .3134921     3.36   0.001     .4387361    1.668944
          c30urban1 |   .0193239   .0223071     0.87   0.387    -.0244451    .0630928
            c30farm |   .0275481   .0916669     0.30   0.764    -.1523119    .2074081
            iYf_T29 |   .0016087   .0189286     0.08   0.932    -.0355312    .0387485
           MEAN9628 |   .0013236   .0009684     1.37   0.172    -.0005766    .0032238
             c30men |  -.8817361    .613006    -1.44   0.151    -2.084517    .3210451
           c30black |  -.5507753   .1203974    -4.57   0.000    -.7870074   -.3145432
             c30jap |   .2108505   1.705766     0.12   0.902    -3.136039    3.557739
             c30deu |  -.6057665   .1755496    -3.45   0.001    -.9502129     -.26132
             c30ita |    .183856   .2937863     0.63   0.532    -.3925831     .760295
             c30vet |   1.639297   .3885003     4.22   0.000     .8770192    2.401575
           lc40wage |   .1774237   .0565259     3.14   0.002     .0665139    .2883334
      iwarconpro_PC |  -.0263619   .0109267    -2.41   0.016    -.0478013   -.0049226
      _Istateicps_2 |   .0944202   .0742779     1.27   0.204    -.0513206    .2401611
      _Istateicps_3 |   .0562099    .078021     0.72   0.471    -.0968754    .2092951
      _Istateicps_4 |   .3433476   .0999928     3.43   0.001     .1471514    .5395438
      _Istateicps_5 |  -.0343802   .0678878    -0.51   0.613    -.1675831    .0988227
      _Istateicps_6 |   .3741175   .0882663     4.24   0.000     .2009299    .5473051
     _Istateicps_11 |  -.1825226   .0564369    -3.23   0.001    -.2932577   -.0717875
     _Istateicps_12 |  -.0493364   .0630585    -0.78   0.434    -.1730636    .0743908
     _Istateicps_13 |   .1089103   .0598752     1.82   0.069    -.0085711    .2263917
     _Istateicps_14 |   -.135022   .0603203    -2.24   0.025    -.2533768   -.0166672
     _Istateicps_21 |   .0125513   .0659504     0.19   0.849    -.1168502    .1419528
     _Istateicps_22 |  -.1222651   .0641339    -1.91   0.057    -.2481026    .0035723
     _Istateicps_23 |   -.026407   .0718894    -0.37   0.713    -.1674613    .1146474
     _Istateicps_24 |  -.0824746    .064376    -1.28   0.200    -.2087871    .0438379
     _Istateicps_25 |   .1701276   .0745183     2.28   0.023      .023915    .3163403
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1359965   .0718048    -1.89   0.058     -.276885     .004892
     _Istateicps_41 |    .275591   .1515764     1.82   0.069    -.0218177    .5729996
     _Istateicps_42 |  -.4042399   .0861197    -4.69   0.000    -.5732158   -.2352641
     _Istateicps_43 |   .2773487   .0897771     3.09   0.002     .1011968    .4535006
     _Istateicps_44 |   .2057172   .0976426     2.11   0.035     .0141324    .3973021
     _Istateicps_45 |  -.2350238   .0875112    -2.69   0.007    -.4067299   -.0633177
     _Istateicps_46 |   .0300924   .1029217     0.29   0.770    -.1718506    .2320353
     _Istateicps_47 |   .0905171    .068955     1.31   0.190    -.0447799     .225814
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |   .4910053   .0739729     6.64   0.000     .3458627    .6361478
     _Istateicps_51 |  -.0350088   .0797494    -0.44   0.661    -.1914855    .1214679
     _Istateicps_52 |  -.3381816   .0762834    -4.43   0.000    -.4878576   -.1885056
     _Istateicps_53 |   .1042017   .0711347     1.46   0.143    -.0353719    .2437753
     _Istateicps_54 |  -.0512851   .0803038    -0.64   0.523    -.2088494    .1062792
     _Istateicps_56 |   .0871455   .0795326     1.10   0.273    -.0689057    .2431966
     _Istateicps_61 |  -.4552222      .0763    -5.97   0.000    -.6049306   -.3055138
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1157731   .0749453    -1.54   0.123    -.2628234    .0312773
     _Istateicps_64 |   .1483141   .0767111     1.93   0.053     -.002201    .2988292
     _Istateicps_65 |  -.2165438   .0999452    -2.17   0.030    -.4126467   -.0204409
     _Istateicps_66 |   .1240455   .0813937     1.52   0.128    -.0356573    .2837483
     _Istateicps_67 |  -.2215432   .0751789    -2.95   0.003    -.3690519   -.0740345
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   -.048542   .0794692    -0.61   0.541    -.2044689    .1073848
     _Istateicps_72 |   -.187367   .0782618    -2.39   0.017    -.3409247   -.0338094
     _Istateicps_73 |   .0209646   .0768526     0.27   0.785    -.1298282    .1717574
     _Istateicps_98 |          0  (omitted)
              _cons |  -.5544024   .4958436    -1.12   0.264    -1.527299    .4184942
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_65 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,164
                                                F(48, 1113)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6240
                                                Root MSE          =     .17162

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |  -.0162542   .0128107    -1.27   0.205    -.0413901    .0088817
         ww1_vol_sh |   .0891899      .0283     3.15   0.002     .0336626    .1447172
ww1_awards_pop10_is |   .2868679   .0925674     3.10   0.002     .1052417    .4684942
             lpop30 |   .0177383   .0112207     1.58   0.114    -.0042779    .0397544
           c30unemp |   .1204289   .2130125     0.57   0.572    -.2975225    .5383802
          c30urban1 |    .007324    .014089     0.52   0.603      -.02032    .0349681
            c30farm |  -.2232798   .0597537    -3.74   0.000    -.3405225   -.1060372
            iYf_T29 |  -.0242233   .0156317    -1.55   0.122    -.0548943    .0064477
           MEAN9628 |  -.0011051    .000544    -2.03   0.042    -.0021724   -.0000378
             c30men |  -1.447992   .6701777    -2.16   0.031    -2.762946   -.1330382
           c30black |  -.3533627   .0373913    -9.45   0.000    -.4267282   -.2799973
             c30jap |   1.145569   1.315377     0.87   0.384     -1.43533    3.726467
             c30deu |  -.6645214   .2681582    -2.48   0.013    -1.190674   -.1383688
             c30ita |  -1.520229   .4979746    -3.05   0.002    -2.497303   -.5431538
             c30vet |   .3360207   .3166221     1.06   0.289    -.2852228    .9572642
           lc40wage |   .1578643   .0357672     4.41   0.000     .0876856     .228043
      iwarconpro_PC |  -.0345288   .0110762    -3.12   0.002    -.0562615   -.0127962
      _Istateicps_2 |  -.2359955   .0560171    -4.21   0.000    -.3459065   -.1260844
      _Istateicps_3 |  -.1191185   .0552212    -2.16   0.031     -.227468    -.010769
      _Istateicps_4 |  -.0279131   .0620214    -0.45   0.653    -.1496052     .093779
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |  -.3285221   .0771101    -4.26   0.000    -.4798197   -.1772246
     _Istateicps_12 |  -.1690711   .0457206    -3.70   0.000    -.2587794   -.0793628
     _Istateicps_13 |  -.0931117   .0617262    -1.51   0.132    -.2142244    .0280011
     _Istateicps_14 |  -.3451468   .0398261    -8.67   0.000    -.4232895   -.2670042
     _Istateicps_21 |  -.1179538   .0612689    -1.93   0.054    -.2381693    .0022617
     _Istateicps_22 |  -.1286432   .0558584    -2.30   0.021    -.2382427   -.0190436
     _Istateicps_23 |  -.0685998   .1162564    -0.59   0.555    -.2967062    .1595066
     _Istateicps_24 |  -.2009562   .0535018    -3.76   0.000    -.3059319   -.0959805
     _Istateicps_25 |   .1398737   .1447375     0.97   0.334    -.1441155    .4238629
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.3102548   .0537661    -5.77   0.000    -.4157491   -.2047606
     _Istateicps_41 |  -.0651302     .05709    -1.14   0.254    -.1771463    .0468859
     _Istateicps_42 |  -.3244833   .0508736    -6.38   0.000    -.4243023   -.2246643
     _Istateicps_43 |   .0609949   .0622981     0.98   0.328    -.0612401    .1832298
     _Istateicps_44 |   .0520303   .0535434     0.97   0.331    -.0530271    .1570876
     _Istateicps_45 |  -.2579942   .0509171    -5.07   0.000    -.3578985   -.1580898
     _Istateicps_46 |   .0325284   .0580293     0.56   0.575    -.0813307    .1463876
     _Istateicps_47 |   -.163807   .0520283    -3.15   0.002    -.2658916   -.0617225
     _Istateicps_48 |   -.053374   .0604726    -0.88   0.378    -.1720271    .0652791
     _Istateicps_49 |   .3581454    .065844     5.44   0.000      .228953    .4873378
     _Istateicps_51 |  -.0705204   .0516391    -1.37   0.172    -.1718414    .0308006
     _Istateicps_52 |  -.4086512   .0551824    -7.41   0.000    -.5169244    -.300378
     _Istateicps_53 |   .1052803   .0638423     1.65   0.099    -.0199845    .2305452
     _Istateicps_54 |  -.1680032   .0547222    -3.07   0.002    -.2753734   -.0606329
     _Istateicps_56 |  -.0095608   .0543817    -0.18   0.860    -.1162629    .0971414
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0225133   .0623671    -0.36   0.718    -.1448836    .0998569
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |          0  (omitted)
     _Istateicps_66 |  -.1234404   .2027265    -0.61   0.543    -.5212095    .2743287
     _Istateicps_67 |  -.3212899   .0453049    -7.09   0.000    -.4101826   -.2323973
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0087282   .0628683    -0.14   0.890    -.1320819    .1146256
     _Istateicps_72 |  -.2506111   .0552473    -4.54   0.000    -.3590117   -.1422105
     _Istateicps_73 |   .0122054   .0755823     0.16   0.872    -.1360945    .1605053
     _Istateicps_98 |          0  (omitted)
              _cons |   .5671856   .4127146     1.37   0.170    -.2426008    1.376972
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,165
                                                F(52, 1110)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1449
                                                Root MSE          =     .14474

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |    .021209   .0060875     3.48   0.001     .0092647    .0331532
         ww1_vol_sh |   .0696461     .03387     2.06   0.040     .0031896    .1361026
ww1_awards_pop10_is |   .0532317   .0417619     1.27   0.203    -.0287096    .1351729
             lpop30 |  -.0306024   .0251926    -1.21   0.225     -.080033    .0188281
           c30unemp |   .3281999    .321359     1.02   0.307    -.3023397    .9587394
          c30urban1 |   .0130122   .0114662     1.13   0.257    -.0094856    .0355099
            c30farm |   .0925919   .0446908     2.07   0.039     .0049039    .1802799
            iYf_T29 |   .0258045   .0168207     1.53   0.125    -.0071996    .0588085
           MEAN9628 |  -.0002281   .0007603    -0.30   0.764    -.0017199    .0012638
             c30men |   -.652506   .4413899    -1.48   0.140    -1.518559    .2135466
           c30black |   .0412536   .0775891     0.53   0.595    -.1109842    .1934914
             c30jap |   .1472344   1.591492     0.09   0.926    -2.975438    3.269907
             c30deu |   .0426576   .1437653     0.30   0.767    -.2394247      .32474
             c30ita |   .1426776   .2284017     0.62   0.532      -.30547    .5908253
             c30vet |   .3518634   .2017485     1.74   0.081     -.043988    .7477148
           lc40wage |   .0636364   .0388217     1.64   0.101    -.0125357    .1398086
      iwarconpro_PC |   .0098463    .007291     1.35   0.177    -.0044595     .024152
      _Istateicps_2 |   .0193639    .041725     0.46   0.643    -.0625048    .1012326
      _Istateicps_3 |   .0032922   .0362128     0.09   0.928     -.067761    .0743455
      _Istateicps_4 |  -.0209289    .053808    -0.39   0.697    -.1265059     .084648
      _Istateicps_5 |   .0464799   .0733909     0.63   0.527    -.0975206    .1904804
      _Istateicps_6 |  -.0194167   .0537522    -0.36   0.718     -.124884    .0860507
     _Istateicps_11 |   -.008035   .0217201    -0.37   0.712    -.0506521    .0345821
     _Istateicps_12 |  -.0209344   .0305028    -0.69   0.493    -.0807841    .0389153
     _Istateicps_13 |  -.0041289   .0254737    -0.16   0.871     -.054111    .0458532
     _Istateicps_14 |  -.0186847    .030368    -0.62   0.538    -.0782699    .0409005
     _Istateicps_21 |  -.0508453   .0407474    -1.25   0.212    -.1307959    .0291053
     _Istateicps_22 |  -.0770126   .0394779    -1.95   0.051    -.1544724    .0004471
     _Istateicps_23 |  -.0402361   .0494908    -0.81   0.416    -.1373422      .05687
     _Istateicps_24 |  -.0282068   .0352768    -0.80   0.424    -.0974235    .0410099
     _Istateicps_25 |  -.0793674   .0549622    -1.44   0.149    -.1872089    .0284741
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0158282   .0339498    -0.47   0.641    -.0824412    .0507848
     _Istateicps_41 |  -.0273774   .0467559    -0.59   0.558    -.1191172    .0643625
     _Istateicps_42 |  -.0022888   .0501964    -0.05   0.964    -.1007794    .0962018
     _Istateicps_43 |  -.0191837   .0579815    -0.33   0.741    -.1329493    .0945819
     _Istateicps_44 |   .0084448   .0604575     0.14   0.889    -.1101791    .1270686
     _Istateicps_45 |  -.0426099   .0427433    -1.00   0.319    -.1264767    .0412568
     _Istateicps_46 |  -.0478435    .053073    -0.90   0.368    -.1519782    .0562912
     _Istateicps_47 |    .079408   .0346073     2.29   0.022      .011505    .1473111
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |   .0006353   .0325689     0.02   0.984    -.0632683    .0645389
     _Istateicps_51 |  -.0671822    .050663    -1.33   0.185    -.1665882    .0322237
     _Istateicps_52 |  -.0680374   .0435664    -1.56   0.119    -.1535191    .0174443
     _Istateicps_53 |  -.0188756   .0321964    -0.59   0.558    -.0820483     .044297
     _Istateicps_54 |  -.0377163   .0474074    -0.80   0.426    -.1307346     .055302
     _Istateicps_56 |   .0001798   .0340665     0.01   0.996    -.0666622    .0670217
     _Istateicps_61 |   .0499213   .0436137     1.14   0.253    -.0356533     .135496
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0115706   .0541461    -0.21   0.831    -.1178109    .0946696
     _Istateicps_64 |   .1172663   .0532913     2.20   0.028     .0127032    .2218294
     _Istateicps_65 |   .0082316   .0739195     0.11   0.911    -.1368061    .1532692
     _Istateicps_66 |   .0107949   .0390833     0.28   0.782    -.0658907    .0874804
     _Istateicps_67 |     .00878   .0492085     0.18   0.858    -.0877723    .1053323
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0811552   .0638226     1.27   0.204    -.0440714    .2063818
     _Istateicps_72 |  -.0350231    .052945    -0.66   0.508    -.1389066    .0688605
     _Istateicps_73 |   .0352215   .0473281     0.74   0.457    -.0576412    .1280842
     _Istateicps_98 |          0  (omitted)
              _cons |   .0411044   .3429949     0.12   0.905    -.6318871     .714096
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_65 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,164
                                                F(48, 1113)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2587
                                                Root MSE          =       .078

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0102481   .0047748     2.15   0.032     .0008795    .0196166
         ww1_vol_sh |   .0261965   .0126891     2.06   0.039     .0012992    .0510938
ww1_awards_pop10_is |  -.0052295   .0461222    -0.11   0.910    -.0957257    .0852668
             lpop30 |  -.0013217   .0048887    -0.27   0.787    -.0109138    .0082704
           c30unemp |  -.0467889    .069468    -0.67   0.501    -.1830918     .089514
          c30urban1 |    .003977   .0063785     0.62   0.533    -.0085383    .0164922
            c30farm |   -.063479   .0271492    -2.34   0.020    -.1167484   -.0102096
            iYf_T29 |  -.0026361   .0063457    -0.42   0.678    -.0150869    .0098147
           MEAN9628 |   .0001214    .000235     0.52   0.605    -.0003396    .0005825
             c30men |  -.1728395    .286476    -0.60   0.546    -.7349335    .3892545
           c30black |  -.0620204   .0151583    -4.09   0.000    -.0917625   -.0322783
             c30jap |   2.376043   .6314245     3.76   0.000     1.137126     3.61496
             c30deu |  -.0538195   .1478062    -0.36   0.716    -.3438297    .2361907
             c30ita |  -.4601464    .312895    -1.47   0.142    -1.074077    .1537841
             c30vet |   .0801425   .1078261     0.74   0.457    -.1314228    .2917078
           lc40wage |   .0372021   .0144778     2.57   0.010     .0087953    .0656089
      iwarconpro_PC |   .0040506   .0048656     0.83   0.405    -.0054961    .0135973
      _Istateicps_2 |  -.1430639   .0362761    -3.94   0.000     -.214241   -.0718867
      _Istateicps_3 |  -.0801294   .0188931    -4.24   0.000    -.1171995   -.0430594
      _Istateicps_4 |  -.0768394   .0283513    -2.71   0.007    -.1324674   -.0212115
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |  -.1431325   .0293114    -4.88   0.000    -.2006444   -.0856206
     _Istateicps_12 |  -.0830378   .0201863    -4.11   0.000    -.1226453   -.0434303
     _Istateicps_13 |  -.0151613   .0389116    -0.39   0.697    -.0915097     .061187
     _Istateicps_14 |   -.100829   .0212854    -4.74   0.000     -.142593    -.059065
     _Istateicps_21 |  -.1112309   .0276334    -4.03   0.000    -.1654504   -.0570114
     _Istateicps_22 |  -.1317678   .0328438    -4.01   0.000    -.1962106    -.067325
     _Istateicps_23 |   -.114494   .0296832    -3.86   0.000    -.1727354   -.0562527
     _Istateicps_24 |  -.0708974   .0314768    -2.25   0.024    -.1326579   -.0091369
     _Istateicps_25 |  -.1744262   .0551258    -3.16   0.002    -.2825883   -.0662641
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1050355   .0312689    -3.36   0.001    -.1663881   -.0436829
     _Istateicps_41 |  -.1116999   .0282129    -3.96   0.000    -.1670563   -.0563434
     _Istateicps_42 |  -.1133467   .0267848    -4.23   0.000    -.1659012   -.0607923
     _Istateicps_43 |  -.0569479   .0334227    -1.70   0.089    -.1225266    .0086307
     _Istateicps_44 |  -.1201924    .027358    -4.39   0.000    -.1738716   -.0665133
     _Istateicps_45 |  -.1079604   .0287183    -3.76   0.000    -.1643084   -.0516124
     _Istateicps_46 |   -.070425   .0308255    -2.28   0.023    -.1309076   -.0099423
     _Istateicps_47 |  -.1158234   .0269854    -4.29   0.000    -.1687713   -.0628754
     _Istateicps_48 |  -.1068266   .0298378    -3.58   0.000    -.1653713   -.0482819
     _Istateicps_49 |  -.0771343   .0286735    -2.69   0.007    -.1333946   -.0208741
     _Istateicps_51 |  -.1041835   .0276106    -3.77   0.000    -.1583582   -.0500088
     _Istateicps_52 |  -.0874386   .0472598    -1.85   0.065    -.1801671    .0052898
     _Istateicps_53 |  -.0854177   .0306282    -2.79   0.005    -.1455132   -.0253222
     _Istateicps_54 |  -.1075093   .0276807    -3.88   0.000    -.1618215    -.053197
     _Istateicps_56 |  -.1105834   .0314611    -3.51   0.000    -.1723133   -.0488536
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0074826    .055162     0.14   0.892    -.1007506    .1157158
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |          0  (omitted)
     _Istateicps_66 |   -.089927   .0386736    -2.33   0.020    -.1658084   -.0140457
     _Istateicps_67 |  -.0088697   .0229281    -0.39   0.699    -.0538569    .0361174
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0580463   .0277062    -2.10   0.036    -.1124087    -.003684
     _Istateicps_72 |   .0190466   .0367862     0.52   0.605    -.0531315    .0912246
     _Istateicps_73 |   -.061297   .0547251    -1.12   0.263     -.168673     .046079
     _Istateicps_98 |          0  (omitted)
              _cons |   .0575574   .1678803     0.34   0.732    -.2718402    .3869549
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,165
                                                F(52, 1110)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4955
                                                Root MSE          =     .85948

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3240626   .0387843     8.36   0.000     .2479637    .4001615
         ww1_vol_sh |   .5131965   .1884519     2.72   0.007     .1434344    .8829585
ww1_awards_pop10_is |   .4788805   .3058607     1.57   0.118    -.1212498    1.079011
             lpop30 |  -.1865994   .1303537    -1.43   0.153    -.4423669    .0691682
           c30unemp |   2.782473   1.730761     1.61   0.108      -.61346    6.178405
          c30urban1 |   .1316115   .0717901     1.83   0.067    -.0092482    .2724712
            c30farm |   .2907269   .2993279     0.97   0.332    -.2965855    .8780393
            iYf_T29 |   .1439834   .0934647     1.54   0.124    -.0394039    .3273707
           MEAN9628 |  -.0006793   .0041832    -0.16   0.871    -.0088871    .0075285
             c30men |  -6.298761   2.428532    -2.59   0.010    -11.06379   -1.533729
           c30black |  -.9355012   .4928128    -1.90   0.058    -1.902451    .0314486
             c30jap |    9.17599   8.512452     1.08   0.281    -7.526322     25.8783
             c30deu |  -.2025146   .7920698    -0.26   0.798    -1.756637    1.351608
             c30ita |   1.002548   1.381048     0.73   0.468    -1.707212    3.712308
             c30vet |   5.364717   1.350551     3.97   0.000     2.714796    8.014639
           lc40wage |   .9556114   .2442276     3.91   0.000     .4764117    1.434811
      iwarconpro_PC |   .2433823   .0453637     5.37   0.000      .154374    .3323906
      _Istateicps_2 |   .2246844   .2851563     0.79   0.431    -.3348217    .7841906
      _Istateicps_3 |   .0251476   .3399788     0.07   0.941     -.641926    .6922211
      _Istateicps_4 |     .38276   .3440943     1.11   0.266    -.2923886    1.057909
      _Istateicps_5 |   .0637812    .599576     0.11   0.915    -1.112649    1.240211
      _Istateicps_6 |   .5183103    .353154     1.47   0.142    -.1746144    1.211235
     _Istateicps_11 |  -.1565821   .2014674    -0.78   0.437    -.5518821    .2387178
     _Istateicps_12 |  -.1976552   .2297773    -0.86   0.390     -.648502    .2531917
     _Istateicps_13 |   .2149947   .2138675     1.01   0.315    -.2046355    .6346249
     _Istateicps_14 |  -.2671517   .2341337    -1.14   0.254    -.7265462    .1922428
     _Istateicps_21 |  -.1249985   .2742856    -0.46   0.649    -.6631752    .4131783
     _Istateicps_22 |   -.496128   .2706126    -1.83   0.067    -1.027098    .0348419
     _Istateicps_23 |  -.2506894    .316183    -0.79   0.428    -.8710733    .3696944
     _Istateicps_24 |  -.2497662   .2571836    -0.97   0.332    -.7543871    .2548547
     _Istateicps_25 |  -.0616743   .3368381    -0.18   0.855    -.7225855     .599237
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2730397   .2604221    -1.05   0.295    -.7840149    .2379355
     _Istateicps_41 |   .6351075   .4053818     1.57   0.117    -.1602935    1.430508
     _Istateicps_42 |  -.6533534   .3296968    -1.98   0.048    -1.300253   -.0064542
     _Istateicps_43 |   .4979195   .4009992     1.24   0.215    -.2888825    1.284722
     _Istateicps_44 |   .3892767   .3800382     1.02   0.306    -.3563976    1.134951
     _Istateicps_45 |  -.5848512   .3465075    -1.69   0.092    -1.264735    .0950323
     _Istateicps_46 |    .179404   .3951087     0.45   0.650    -.5958401    .9546481
     _Istateicps_47 |   .5526536   .2620008     2.11   0.035     .0385809    1.066726
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |   1.017154   .2637746     3.86   0.000     .4996007    1.534707
     _Istateicps_51 |  -.4649474   .3335431    -1.39   0.164    -1.119394    .1894987
     _Istateicps_52 |   -1.03153   .3189099    -3.23   0.001    -1.657264   -.4057958
     _Istateicps_53 |   .1786043   .2562369     0.70   0.486    -.3241589    .6813676
     _Istateicps_54 |  -.1940956   .3306804    -0.59   0.557    -.8429248    .4547336
     _Istateicps_56 |  -.0035066   .2725659    -0.01   0.990    -.5383092    .5312959
     _Istateicps_61 |  -.4899937   .3155731    -1.55   0.121    -1.109181    .1291934
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0965721   .3364057    -0.29   0.774    -.7566349    .5634908
     _Istateicps_64 |   1.247707   .3216804     3.88   0.000     .6165363    1.878877
     _Istateicps_65 |  -.0673796   .4742732    -0.14   0.887    -.9979527    .8631935
     _Istateicps_66 |   .1063694   .3081044     0.35   0.730    -.4981632    .7109021
     _Istateicps_67 |  -.3801817   .3179426    -1.20   0.232    -1.004018    .2436546
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3560036   .3729146     0.95   0.340    -.3756934    1.087701
     _Istateicps_72 |   .0250786   .3368782     0.07   0.941    -.6359112    .6860684
     _Istateicps_73 |    .499936   .3250235     1.54   0.124    -.1377938    1.137666
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.687211   2.090525    -2.24   0.025    -8.789036    -.585385
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_65 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,164
                                                F(48, 1113)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6935
                                                Root MSE          =     .59593

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1021991   .0367624     2.78   0.006     .0300677    .1743305
         ww1_vol_sh |   .3226847   .0939795     3.43   0.001     .1382877    .5070817
ww1_awards_pop10_is |   .7291541   .3463593     2.11   0.035     .0495632    1.408745
             lpop30 |  -.0577159   .0366217    -1.58   0.115    -.1295714    .0141395
           c30unemp |   .2133625   .6571082     0.32   0.745    -1.075948    1.502673
          c30urban1 |   .1513616   .0493991     3.06   0.002     .0544357    .2482874
            c30farm |  -1.168335   .2142671    -5.45   0.000    -1.588748   -.7479224
            iYf_T29 |    .054133   .0497068     1.09   0.276    -.0433965    .1516626
           MEAN9628 |   .0046512   .0017297     2.69   0.007     .0012574     .008045
             c30men |  -4.938887   2.189192    -2.26   0.024    -9.234295   -.6434795
           c30black |  -1.139209   .1283254    -8.88   0.000    -1.390996    -.887422
             c30jap |   11.69052   6.053089     1.93   0.054     -.186227    23.56728
             c30deu |  -.4821669   .9106061    -0.53   0.597    -2.268865    1.304531
             c30ita |  -4.512256   2.355663    -1.92   0.056    -9.134297    .1097854
             c30vet |   1.733745   .8871011     1.95   0.051     -.006834    3.474324
           lc40wage |   .8554744   .1217436     7.03   0.000     .6166015    1.094347
      iwarconpro_PC |   .2640972   .0418865     6.31   0.000     .1819118    .3462827
      _Istateicps_2 |   .0679626   .2419911     0.28   0.779    -.4068476    .5427728
      _Istateicps_3 |   .3887141   .1652142     2.35   0.019     .0645478    .7128804
      _Istateicps_4 |   1.096414   .3971375     2.76   0.006     .3171912    1.875636
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |   .3815047   .2256069     1.69   0.091    -.0611581    .8241675
     _Istateicps_12 |   .3677793   .1855285     1.98   0.048     .0037543    .7318042
     _Istateicps_13 |   .8943906   .2738942     3.27   0.001     .3569835    1.431798
     _Istateicps_14 |   .2773201   .1536632     1.80   0.071     -.024182    .5788223
     _Istateicps_21 |   .6610988   .2120333     3.12   0.002     .2450687    1.077129
     _Istateicps_22 |   .4353333   .2276805     1.91   0.056    -.0113981    .8820647
     _Istateicps_23 |   .6918919   .3352984     2.06   0.039     .0340036     1.34978
     _Istateicps_24 |   .5192189   .2186574     2.37   0.018     .0901918    .9482461
     _Istateicps_25 |   .5960365   .2593544     2.30   0.022     .0871578    1.104915
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .2966556   .2354853     1.26   0.208    -.1653895    .7587008
     _Istateicps_41 |   .6284255   .2205151     2.85   0.004     .1957533    1.061098
     _Istateicps_42 |  -.1437142   .2102182    -0.68   0.494    -.5561829    .2687545
     _Istateicps_43 |   .9381679   .2470153     3.80   0.000     .4534997    1.422836
     _Istateicps_44 |   .6214519   .2123832     2.93   0.004     .2047353    1.038168
     _Istateicps_45 |   -.002713   .2103122    -0.01   0.990     -.415366      .40994
     _Istateicps_46 |   .8345358   .2321453     3.59   0.000      .379044    1.290028
     _Istateicps_47 |   .3727582   .2160501     1.73   0.085    -.0511531    .7966696
     _Istateicps_48 |    .227936   .2315414     0.98   0.325    -.2263709    .6822428
     _Istateicps_49 |   1.459326   .2333375     6.25   0.000     1.001495    1.917157
     _Istateicps_51 |   .4766668    .211489     2.25   0.024     .0617047    .8916288
     _Istateicps_52 |   .1994363   .3174892     0.63   0.530    -.4235085     .822381
     _Istateicps_53 |   1.042056   .2331096     4.47   0.000     .5846721    1.499439
     _Istateicps_54 |    .382814   .2134849     1.79   0.073    -.0360643    .8016923
     _Istateicps_56 |   .6679222   .2242085     2.98   0.003     .2280032    1.107841
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   1.281792    .209902     6.11   0.000     .8699442     1.69364
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |          0  (omitted)
     _Istateicps_66 |   .2485228   .6580568     0.38   0.706    -1.042649    1.539695
     _Istateicps_67 |    .621609   .1904626     3.26   0.001     .2479027    .9953152
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   1.151607   .2678267     4.30   0.000     .6261049    1.677109
     _Istateicps_72 |   1.292088   .2765722     4.67   0.000     .7494262     1.83475
     _Istateicps_73 |   1.511993    .518719     2.91   0.004     .4942159     2.52977
     _Istateicps_98 |          0  (omitted)
              _cons |   -3.99119   1.261683    -3.16   0.002    -6.466735   -1.515644
-------------------------------------------------------------------------------------

. 
. preserve

.         clear

.         set obs 8
number of observations (_N) was 0, now 8

.         gen     x     = cond(mod(_n,2) == 1,_n,(_n-1)+0.4)  /* Odds are plotted at integer; evens are plotted at integer + 0.4 */

.         gen     split = cond(mod(_n,2) == 1, 0,         1)  /* Odds are below median; evens are above median */

.         gen b         = .
(8 missing values generated)

.         gen s         = .
(8 missing values generated)

.         forvalues n = 1(1)8 {
  2.                 replace b = `b`n'' if _n == `n'
  3.                 replace s = `s`n'' if _n == `n'
  4.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         gen l = b - (1.96 * s)

.         gen u = b + (1.96 * s)

. 
.         format b* %2.1f

. 
.         gen t     = 0.43

.         gen title = cond(_n == 2,"{bf:War bonds}",cond(_n == 4,"{bf:Volunteers}",cond(_n == 6,"{bf:Medals}",cond(_n == 8,"{bf:PCA}",""))))
(4 missing values generated)

.         gen x_t  = cond(_n == 2,1.2,cond(_n == 4,3.2,cond(_n == 6,5.2,cond(_n == 8,7.2,x))))

.         
.         graph twoway (scatter b    x if split == 0,  mcolor(red   )                  msize(*1.5) msymbol(oh))                            ///
>                                  (scatter b    x if split == 1,  mlcolor(green) mfcolor(none)    msize(*1.5) msymbol(oh))                     
>    ///
>                                  (rcap    l u  x if split == 0,    color(red  )                  msize(large)    lwidth(   thick))            
>    ///
>                                  (rcap    l u  x if split == 1,    color(green)                  msize(medlarge) lwidth(medthick))            
>    ///
>                                  (scatter t    x_t, mlabel(title        ) mlabcolor(black) mlabp(0) m(i) mlabsize(*1.2))                      
>    ///
>                                 , legend(order(3 "High" 4 "Low") rows(1) title("{bf: Cattle ranching incidence:}",  size(medium)))            
>    ///
>                                 yline(0, lcolor(red)) xline(2.2, lcolor(black) lpattern(dash)) xline(4.2, lcolor(black) lpattern(dash))       
>    ///
>                                 xline(6.2, lcolor(black) lpattern(dash)) ylabel(0(0.1)0.4, angle(0) labsize(medium) format(%2.1f))            
>        ///
>                                 ytitle(OLS coefficient, size(normal)) xlabel(none) xtitle(" ") xscale(range(0.4 7.8)) graphregion(fcolor(white
> )) plotregion(fcolor(white)) scheme(s1manual)
(note:  named style normal not found in class gsize, default attributes used)

.                                                                            
.         graph export "results/figures/AppFig1-cattle.pdf", replace
(file results/figures/AppFig1-cattle.pdf written in PDF format)

. restore

. 
. ***************************************************************************************************
. ****         Fig 2. Never Takers                                                                   ****
. ***************************************************************************************************
. kdensity iSUM3MO_DROUGHT3340 if aaa == 0 & servicecommand != 7, lp(dash) lc(black) addplot(kdensity iSUM3MO_DROUGHT3340 if aaa == 1 & servicec
> ommand != 7, lc(black) lp(solid)) legend(order(1 "< 5th pct" 2 "5th-100th pct") title(Agricultural support:)) title(A. Droughts by agricultura
> l support, size(huge)) graphregion(color(white)) ytitle(" ") ylabel(, angle(0) format(%2.1f)) xtitle(Months of summer drought) note("")

. graph export "results/figures/AppFig2A-never-takers-distrib-drought.pdf", as(pdf) replace
(file results/figures/AppFig2A-never-takers-distrib-drought.pdf written in PDF format)

. 
. cibar iAGRI_T73 , over(aaa) graphopts(legend(order(1 "< 5th pct" 2 "5th-100th pct") title(Agricultural support:)) title(B. Agri committee by a
> gri support, size(huge)) graphregion(color(white)) ytitle(" ") ylabel(, angle(0) format(%3.2f)) note(""))

. graph export "results/figures/AppFig2B-never-takers-distrib-committee.pdf", as(pdf) replace
(file results/figures/AppFig2B-never-takers-distrib-committee.pdf written in PDF format)

. 
. gen iSUM3MO_DROUGHT3340_aaa = iSUM3MO_DROUGHT3340 * aaa
(48 missing values generated)

. for VAR in var iwarbond_1944_PC iSUM3MO_DROUGHT3340 aaa iSUM3MO_DROUGHT3340_aaa : egen VAR_Z = std(VAR) if sample_ols == 1

->  egen iwarbond_1944_PC_Z = std(iwarbond_1944_PC) if sample_ols == 1
(48 missing values generated)

->  egen iSUM3MO_DROUGHT3340_Z = std(iSUM3MO_DROUGHT3340) if sample_ols == 1
(48 missing values generated)

->  egen aaa_Z = std(aaa) if sample_ols == 1
(48 missing values generated)

->  egen iSUM3MO_DROUGHT3340_aaa_Z = std(iSUM3MO_DROUGHT3340_aaa) if sample_ols == 1
(48 missing values generated)

.  
. reg iwarbond_1944_PC_Z iSUM3MO_DROUGHT3340_Z  iSUM3MO_DROUGHT3340_aaa_Z aaa_Z if sample_ols == 1 , r nocons

Linear regression                               Number of obs     =      3,022
                                                F(3, 3019)        =     201.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1598
                                                Root MSE          =     .91691

-------------------------------------------------------------------------------------------
                          |               Robust
       iwarbond_1944_PC_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
    iSUM3MO_DROUGHT3340_Z |  -.0305535   .0875048    -0.35   0.727    -.2021286    .1410215
iSUM3MO_DROUGHT3340_aaa_Z |   .4493787   .0923839     4.86   0.000      .268237    .6305204
                    aaa_Z |   -.051688   .0253905    -2.04   0.042    -.1014725   -.0019036
-------------------------------------------------------------------------------------------

. local b1_lo =  _b[iSUM3MO_DROUGHT3340_Z]

. local s1_lo = _se[iSUM3MO_DROUGHT3340_Z]

. lincom _b[iSUM3MO_DROUGHT3340_Z] + _b[iSUM3MO_DROUGHT3340_aaa_Z]

 ( 1)  iSUM3MO_DROUGHT3340_Z + iSUM3MO_DROUGHT3340_aaa_Z = 0

------------------------------------------------------------------------------
iwarbond_1~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4188252   .0183239    22.86   0.000     .3828966    .4547538
------------------------------------------------------------------------------

. local b1_hi = r(estimate)

. local s1_hi = r(se)

. 
. drop *_Z

. for VAR in var ww2_vol_pop40 ww2_awards_pop40 pc1 iSUM3MO_DROUGHT3340 aaa iSUM3MO_DROUGHT3340_aaa : egen VAR_Z = std(VAR) if sample_ols == 1 &
>  servicecommand != 7

->  egen ww2_vol_pop40_Z = std(ww2_vol_pop40) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen ww2_awards_pop40_Z = std(ww2_awards_pop40) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen pc1_Z = std(pc1) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen iSUM3MO_DROUGHT3340_Z = std(iSUM3MO_DROUGHT3340) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen aaa_Z = std(aaa) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen iSUM3MO_DROUGHT3340_aaa_Z = std(iSUM3MO_DROUGHT3340_aaa) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

. 
. reg ww2_vol_pop40_Z iSUM3MO_DROUGHT3340_Z  iSUM3MO_DROUGHT3340_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons 

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =      53.99
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0588
                                                Root MSE          =     .97059

-------------------------------------------------------------------------------------------
                          |               Robust
          ww2_vol_pop40_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
    iSUM3MO_DROUGHT3340_Z |   .0352245   .0655651     0.54   0.591    -.0933476    .1637966
iSUM3MO_DROUGHT3340_aaa_Z |   .2270164    .070556     3.22   0.001     .0886572    .3653755
                    aaa_Z |  -.0645421   .0238174    -2.71   0.007    -.1112475   -.0178366
-------------------------------------------------------------------------------------------

. local b2_lo =  _b[iSUM3MO_DROUGHT3340_Z]

. local s2_lo = _se[iSUM3MO_DROUGHT3340_Z]

. lincom _b[iSUM3MO_DROUGHT3340_Z] + _b[iSUM3MO_DROUGHT3340_aaa_Z]

 ( 1)  iSUM3MO_DROUGHT3340_Z + iSUM3MO_DROUGHT3340_aaa_Z = 0

------------------------------------------------------------------------------
ww2_vol_po~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2622409   .0208366    12.59   0.000     .2213807     .303101
------------------------------------------------------------------------------

. local b2_hi = r(estimate)

. local s2_hi = r(se)

. 
. reg ww2_awards_pop40_Z iSUM3MO_DROUGHT3340_Z  iSUM3MO_DROUGHT3340_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons 

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =      23.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0199
                                                Root MSE          =     .99045

-------------------------------------------------------------------------------------------
                          |               Robust
       ww2_awards_pop40_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
    iSUM3MO_DROUGHT3340_Z |   .0338401   .0408719     0.83   0.408     -.046309    .1139893
iSUM3MO_DROUGHT3340_aaa_Z |   .1051491   .0457237     2.30   0.022     .0154857    .1948125
                    aaa_Z |   .0081004    .015537     0.52   0.602    -.0223673    .0385681
-------------------------------------------------------------------------------------------

. local b3_lo =  _b[iSUM3MO_DROUGHT3340_Z]

. local s3_lo = _se[iSUM3MO_DROUGHT3340_Z]

. lincom _b[iSUM3MO_DROUGHT3340_Z] + _b[iSUM3MO_DROUGHT3340_aaa_Z]

 ( 1)  iSUM3MO_DROUGHT3340_Z + iSUM3MO_DROUGHT3340_aaa_Z = 0

------------------------------------------------------------------------------
ww2_awards~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .1389892   .0180237     7.71   0.000     .1036451    .1743334
------------------------------------------------------------------------------

. local b3_hi = r(estimate)

. local s3_hi = r(se)

. 
. reg pc1_Z iSUM3MO_DROUGHT3340_Z  iSUM3MO_DROUGHT3340_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =     105.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1101
                                                Root MSE          =     .94373

-------------------------------------------------------------------------------------------
                          |               Robust
                    pc1_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------------+----------------------------------------------------------------
    iSUM3MO_DROUGHT3340_Z |  -.0069056   .0666418    -0.10   0.917    -.1375892    .1237779
iSUM3MO_DROUGHT3340_aaa_Z |   .3563354   .0715279     4.98   0.000     .2160703    .4966004
                    aaa_Z |  -.0498655   .0235157    -2.12   0.034    -.0959795   -.0037515
-------------------------------------------------------------------------------------------

. local b4_lo =  _b[iSUM3MO_DROUGHT3340_Z]

. local s4_lo = _se[iSUM3MO_DROUGHT3340_Z]

. lincom _b[iSUM3MO_DROUGHT3340_Z] + _b[iSUM3MO_DROUGHT3340_aaa_Z]

 ( 1)  iSUM3MO_DROUGHT3340_Z + iSUM3MO_DROUGHT3340_aaa_Z = 0

------------------------------------------------------------------------------
       pc1_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .3494297   .0205373    17.01   0.000     .3091564     .389703
------------------------------------------------------------------------------

. local b4_hi = r(estimate)

. local s4_hi = r(se)

. 
. preserve

.         clear

.         set obs 8
number of observations (_N) was 0, now 8

.         gen b = .
(8 missing values generated)

.         gen s = .
(8 missing values generated)

.         forvalues n = 1(1)4 {
  2.                 replace b = `b`n'_lo' if _n == `n'
  3.                 replace s = `s`n'_lo' if _n == `n'
  4.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         forvalues n = 5(1)8 {
  2.                 local nn = `n' - 4
  3.                 replace b = `b`nn'_hi' if _n == `n'
  4.                 replace s = `s`nn'_hi' if _n == `n'
  5.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
.         gen l =  b - (1.96 * s)

.         gen u =  b + (1.96 * s)

. 
.         format b* %2.1f

. 
.         gen n = cond(_n == 1,0.95  , ///
>                 cond(_n == 2,1     , ///
>                 cond(_n == 3,1.05  , ///
>                 cond(_n == 4,1.1   , ///
>                 cond(_n == 5,1.95  , ///
>                 cond(_n == 6,2     , ///
>                 cond(_n == 7,2.05  , ///
>                 cond(_n == 8,2.1,.))))))))

.         
.         graph twoway (scatter b    n if _n == 1 | _n == 5 ,  mcolor(khaki)   msize(*1.5) msymbol(oh))                            ///
>                                  (rcap    l u  n if _n == 1 | _n == 5,    color(khaki)   msize(large) lwidth(thick))                  ///
>                  (scatter b    n if _n == 2 | _n == 6,  mcolor(blue)  msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 2 | _n == 6,    color(blue)  msize(large) lwidth(thick))                       ///
>                  (scatter b    n if _n == 3 | _n == 7,  mcolor(green) msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 3 | _n == 7,    color(green) msize(large) lwidth(thick))                       ///
>                  (scatter b    n if _n == 4 | _n == 8,  mcolor(black) msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 4 | _n == 8,    color(black) msize(large) lwidth(thick)) , graphregion(color(white))
>  legend(order(1 "War bonds" 3 "Volunteers" 5 "Medals" 7 "PCA" ) title(Dependent variable:) row(2)) xlabel(1 "No agri support" 2 "Agri support"
> ) xtitle("") ylabel(-0.2(0.2)0.4, angle(0) format(%2.1f)) title(C. Drought {&beta} coefficients, size(huge)) yline(0, lc(red))

.         graph export "results/figures/AppFig2C-never-takers-drought.pdf", as(pdf) replace
(file results/figures/AppFig2C-never-takers-drought.pdf written in PDF format)

. restore

. 
. drop *_Z

. 
. gen iAGRI_T73_aaa = iAGRI_T73 * aaa
(48 missing values generated)

. for VAR in var iwarbond_1944_PC iAGRI_T73 aaa iAGRI_T73_aaa : egen VAR_Z = std(VAR) if sample_ols == 1

->  egen iwarbond_1944_PC_Z = std(iwarbond_1944_PC) if sample_ols == 1
(48 missing values generated)

->  egen iAGRI_T73_Z = std(iAGRI_T73) if sample_ols == 1
(48 missing values generated)

->  egen aaa_Z = std(aaa) if sample_ols == 1
(48 missing values generated)

->  egen iAGRI_T73_aaa_Z = std(iAGRI_T73_aaa) if sample_ols == 1
(48 missing values generated)

.  
. reg iwarbond_1944_PC_Z iAGRI_T73_Z  iAGRI_T73_aaa_Z aaa_Z if sample_ols == 1 , r nocons

Linear regression                               Number of obs     =      3,022
                                                F(3, 3019)        =      23.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0278
                                                Root MSE          =     .98631

---------------------------------------------------------------------------------
                |               Robust
iwarbond_1944~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
    iAGRI_T73_Z |   .0128992   .1123126     0.11   0.909    -.2073178    .2331161
iAGRI_T73_aaa_Z |   .0854812    .112541     0.76   0.448    -.1351836    .3061459
          aaa_Z |   .1265671   .0203472     6.22   0.000     .0866714    .1664629
---------------------------------------------------------------------------------

. local b1_lo =  _b[iAGRI_T73_Z]

. local s1_lo = _se[iAGRI_T73_Z]

. lincom _b[iAGRI_T73_Z] + _b[iAGRI_T73_aaa_Z]

 ( 1)  iAGRI_T73_Z + iAGRI_T73_aaa_Z = 0

------------------------------------------------------------------------------
iwarbond_1~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .0983804   .0195717     5.03   0.000     .0600052    .1367555
------------------------------------------------------------------------------

. local b1_hi = r(estimate)

. local s1_hi = r(se)

. 
. drop *_Z

. for VAR in var ww2_vol_pop40 ww2_awards_pop40 pc1 iAGRI_T73 aaa iAGRI_T73_aaa : egen VAR_Z = std(VAR) if sample_ols == 1 & servicecommand != 7

->  egen ww2_vol_pop40_Z = std(ww2_vol_pop40) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen ww2_awards_pop40_Z = std(ww2_awards_pop40) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen pc1_Z = std(pc1) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen iAGRI_T73_Z = std(iAGRI_T73) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen aaa_Z = std(aaa) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

->  egen iAGRI_T73_aaa_Z = std(iAGRI_T73_aaa) if sample_ols == 1 & servicecommand != 7
(741 missing values generated)

. 
. reg ww2_vol_pop40_Z iAGRI_T73_Z  iAGRI_T73_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons 

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =      15.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0635
                                                Root MSE          =     .96815

---------------------------------------------------------------------------------
                |               Robust
ww2_vol_pop40_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
    iAGRI_T73_Z |   .0345257   .0839614     0.41   0.681    -.1301214    .1991728
iAGRI_T73_aaa_Z |   .2161827   .0903832     2.39   0.017     .0389426    .3934229
          aaa_Z |   .0151985   .0187203     0.81   0.417    -.0215117    .0519087
---------------------------------------------------------------------------------

. local b2_lo =  _b[iAGRI_T73_Z]

. local s2_lo = _se[iAGRI_T73_Z]

. lincom _b[iAGRI_T73_Z] + _b[iAGRI_T73_aaa_Z]

 ( 1)  iAGRI_T73_Z + iAGRI_T73_aaa_Z = 0

------------------------------------------------------------------------------
ww2_vol_po~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2507084    .037037     6.77   0.000     .1780794    .3233375
------------------------------------------------------------------------------

. local b2_hi = r(estimate)

. local s2_hi = r(se)

. 
. reg ww2_awards_pop40_Z iAGRI_T73_Z  iAGRI_T73_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons 

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =       9.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0065
                                                Root MSE          =     .99716

---------------------------------------------------------------------------------
                |               Robust
ww2_awards_po~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
    iAGRI_T73_Z |   .0030019   .0353738     0.08   0.932    -.0663655    .0723693
iAGRI_T73_aaa_Z |   .0513801   .0413389     1.24   0.214    -.0296849    .1324451
          aaa_Z |   .0548053   .0133707     4.10   0.000     .0285855    .0810251
---------------------------------------------------------------------------------

. local b3_lo =  _b[iAGRI_T73_Z]

. local s3_lo = _se[iAGRI_T73_Z]

. lincom _b[iAGRI_T73_Z] + _b[iAGRI_T73_aaa_Z]

 ( 1)  iAGRI_T73_Z + iAGRI_T73_aaa_Z = 0

------------------------------------------------------------------------------
ww2_awards~Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .054382   .0224134     2.43   0.015     .0104298    .0983342
------------------------------------------------------------------------------

. local b3_hi = r(estimate)

. local s3_hi = r(se)

. 
. reg pc1_Z iAGRI_T73_Z  iAGRI_T73_aaa_Z aaa_Z if sample_ols == 1 & servicecommand !=7, r nocons

Linear regression                               Number of obs     =      2,329
                                                F(3, 2326)        =      19.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0384
                                                Root MSE          =     .98105

---------------------------------------------------------------------------------
                |               Robust
          pc1_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
    iAGRI_T73_Z |   .0286397   .0754546     0.38   0.704    -.1193257     .176605
iAGRI_T73_aaa_Z |   .1424954    .079677     1.79   0.074      -.01375    .2987408
          aaa_Z |   .0816394    .018281     4.47   0.000     .0457906    .1174881
---------------------------------------------------------------------------------

. local b4_lo =  _b[iAGRI_T73_Z]

. local s4_lo = _se[iAGRI_T73_Z]

. lincom _b[iAGRI_T73_Z] + _b[iAGRI_T73_aaa_Z]

 ( 1)  iAGRI_T73_Z + iAGRI_T73_aaa_Z = 0

------------------------------------------------------------------------------
       pc1_Z |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .1711351    .029303     5.84   0.000     .1136724    .2285977
------------------------------------------------------------------------------

. local b4_hi = r(estimate)

. local s4_hi = r(se)

. 
. preserve

.         clear

.         set obs 8
number of observations (_N) was 0, now 8

.         gen b = .
(8 missing values generated)

.         gen s = .
(8 missing values generated)

.         forvalues n = 1(1)4 {
  2.                 replace b = `b`n'_lo' if _n == `n'
  3.                 replace s = `s`n'_lo' if _n == `n'
  4.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         forvalues n = 5(1)8 {
  2.                 local nn = `n' - 4
  3.                 replace b = `b`nn'_hi' if _n == `n'
  4.                 replace s = `s`nn'_hi' if _n == `n'
  5.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
.         gen l =  b - (1.96 * s)

.         gen u =  b + (1.96 * s)

. 
.         format b* %2.1f

. 
.         gen n = cond(_n == 1,0.95  , ///
>                 cond(_n == 2,1     , ///
>                 cond(_n == 3,1.05  , ///
>                 cond(_n == 4,1.1   , ///
>                 cond(_n == 5,1.95  , ///
>                 cond(_n == 6,2     , ///
>                 cond(_n == 7,2.05  , ///
>                 cond(_n == 8,2.1,.))))))))

.         
.         graph twoway (scatter b    n if _n == 1 | _n == 5 ,  mcolor(khaki)   msize(*1.5) msymbol(oh))                            ///
>                                  (rcap    l u  n if _n == 1 | _n == 5,    color(khaki)   msize(large) lwidth(thick))                  ///
>                  (scatter b    n if _n == 2 | _n == 6,  mcolor(blue)  msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 2 | _n == 6,    color(blue)  msize(large) lwidth(thick))                       ///
>                  (scatter b    n if _n == 3 | _n == 7,  mcolor(green) msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 3 | _n == 7,    color(green) msize(large) lwidth(thick))                       ///
>                  (scatter b    n if _n == 4 | _n == 8,  mcolor(black) msize(*1.5) msymbol(oh))                           ///
>                                  (rcap    l u  n if _n == 4 | _n == 8,    color(black) msize(large) lwidth(thick)) , graphregion(color(white))
>  legend(order(1 "War bonds" 3 "Volunteers" 5 "Medals" 7 "PCA" ) title(Dependent variable:) row(2)) xlabel(1 "No agri support" 2 "Agri support"
> ) xtitle("") ylabel(, angle(0) format(%2.1f)) title(D. Committee {&beta} coefficients, size(huge)) yline(0, lc(red))

.         graph export "results/figures/AppFig2D-never-takers-committee.pdf", as(pdf) replace
(file results/figures/AppFig2D-never-takers-committee.pdf written in PDF format)

. restore

. 
. ***************************************************************************************************
. ****         Fig 3. Heterogeneity: economic conditions                                             ****
. ***************************************************************************************************
. xi: reg pc1 c.iNDEXP_PC##i.c40e_10  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(73, 2255)       =      83.07
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6499
                                                Root MSE          =     .75568

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0407658   .0898489    -0.45   0.650     -.216961    .1354294
                    |
            c40e_10 |
                 2  |  -1.748136   2.102684    -0.83   0.406    -5.871534    2.375263
                 3  |  -1.489648   .7996583    -1.86   0.063    -3.057791    .0784953
                 4  |  -1.485953   .8144022    -1.82   0.068    -3.083009    .1111037
                 5  |  -1.654083    .812318    -2.04   0.042    -3.247052   -.0611139
                 6  |  -2.207498    .834929    -2.64   0.008    -3.844807   -.5701884
                 7  |  -2.497372   .7821943    -3.19   0.001    -4.031268   -.9634761
                 8  |  -3.049361   .8946195    -3.41   0.001    -4.803725   -1.294998
                 9  |  -1.535861   .9145208    -1.68   0.093    -3.329252    .2575292
                10  |  -2.279872    .808426    -2.82   0.005    -3.865209   -.6945352
                    |
c40e_10#c.iNDEXP_PC |
                 2  |   .3269545   .3845847     0.85   0.395    -.4272225    1.081131
                 3  |   .2820713   .1462958     1.93   0.054    -.0048171    .5689597
                 4  |   .2961795   .1501985     1.97   0.049     .0016378    .5907212
                 5  |   .3367605   .1494666     2.25   0.024     .0436541     .629867
                 6  |   .4431923   .1559381     2.84   0.005      .137395    .7489895
                 7  |   .5024568    .147208     3.41   0.001     .2137794    .7911342
                 8  |   .6092831   .1714043     3.55   0.000     .2731564    .9454098
                 9  |   .2880028   .1767185     1.63   0.103    -.0585451    .6345507
                10  |   .4401979   .1529698     2.88   0.004     .1402217    .7401741
                    |
         ww1_vol_sh |   .4751602    .112734     4.21   0.000     .2540868    .6962335
ww1_awards_pop10_is |    .574722   .2692541     2.13   0.033     .0467102    1.102734
             lpop30 |  -.1443367   .0616022    -2.34   0.019    -.2651395   -.0235339
           c30unemp |   1.715874   .8230662     2.08   0.037      .101828    3.329921
          c30urban1 |   .1672785   .0434148     3.85   0.000     .0821414    .2524155
            c30farm |  -.3979185   .1903018    -2.09   0.037    -.7711035   -.0247334
            iYf_T29 |   .0949531   .0492808     1.93   0.054    -.0016874    .1915936
           MEAN9628 |   .0048614   .0022557     2.16   0.031      .000438    .0092848
             c30men |  -6.540764   1.588749    -4.12   0.000    -9.656328     -3.4252
           c30black |  -1.149549   .1472308    -7.81   0.000     -1.43827   -.8608265
             c30jap |   11.89127    6.15522     1.93   0.053    -.1792219    23.96175
             c30deu |   .4471761   .7035768     0.64   0.525    -.9325497    1.826902
             c30ita |   -.182638   1.024892    -0.18   0.859    -2.192468    1.827192
             c30vet |   3.522701    .892715     3.95   0.000     1.772072     5.27333
           lc40wage |   1.009006   .1370426     7.36   0.000     .7402631    1.277749
      iwarconpro_PC |   .1954229   .0317103     6.16   0.000     .1332386    .2576073
      _Istateicps_2 |  -.3644442   .2023797    -1.80   0.072    -.7613141    .0324257
      _Istateicps_3 |  -.0941492   .2046775    -0.46   0.646    -.4955252    .3072268
      _Istateicps_4 |   .1475737   .2626941     0.56   0.574    -.3675738    .6627211
      _Istateicps_5 |  -.1221613   .4167456    -0.29   0.769    -.9394064    .6950838
      _Istateicps_6 |   .3964088   .2404004     1.65   0.099    -.0750203    .8678379
     _Istateicps_11 |  -.2958728   .1848367    -1.60   0.110    -.6583406     .066595
     _Istateicps_12 |  -.4273702   .1678377    -2.55   0.011    -.7565026   -.0982378
     _Istateicps_13 |  -.0237688   .1524794    -0.16   0.876    -.3227834    .2752459
     _Istateicps_14 |  -.5575346   .1578378    -3.53   0.000    -.8670572    -.248012
     _Istateicps_21 |  -.0745906    .185469    -0.40   0.688    -.4382984    .2891173
     _Istateicps_22 |  -.3531908   .1800419    -1.96   0.050     -.706256   -.0001257
     _Istateicps_23 |  -.1997352   .2089197    -0.96   0.339    -.6094302    .2099597
     _Istateicps_24 |   -.318157   .1790921    -1.78   0.076    -.6693596    .0330456
     _Istateicps_25 |   .0431218   .2449812     0.18   0.860    -.4372904    .5235339
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2734683    .184605    -1.48   0.139    -.6354817    .0885451
     _Istateicps_41 |   .0695428   .1911069     0.36   0.716    -.3052211    .4443067
     _Istateicps_42 |    -.94921   .1862052    -5.10   0.000    -1.314362   -.5840585
     _Istateicps_43 |   .2337883    .214438     1.09   0.276    -.1867281    .6543047
     _Istateicps_44 |   .0834864   .1865999     0.45   0.655     -.282439    .4494119
     _Istateicps_45 |  -.7022183   .1866758    -3.76   0.000    -1.068293   -.3361439
     _Istateicps_46 |   .0724722   .1984827     0.37   0.715    -.3167556    .4617001
     _Istateicps_47 |  -.1941474   .1792465    -1.08   0.279    -.5456527    .1573579
     _Istateicps_48 |  -.4011478   .2092996    -1.92   0.055    -.8115878    .0092923
     _Istateicps_49 |   1.063689   .1855591     5.73   0.000     .6998046    1.427574
     _Istateicps_51 |   -.269488   .1774588    -1.52   0.129    -.6174877    .0785116
     _Istateicps_52 |  -.6458142   .2270295    -2.84   0.004    -1.091023   -.2006056
     _Istateicps_53 |    .276055    .186747     1.48   0.139    -.0901589    .6422689
     _Istateicps_54 |  -.2521943   .1798097    -1.40   0.161     -.604804    .1004154
     _Istateicps_56 |  -.1922843   .1798999    -1.07   0.285    -.5450711    .1605025
     _Istateicps_61 |  -.7471383   .3211428    -2.33   0.020    -1.376905   -.1173719
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1805323   .2520712     0.72   0.474    -.3137836    .6748482
     _Istateicps_64 |   1.432115   .2994641     4.78   0.000     .8448608    2.019369
     _Istateicps_65 |  -.2934427   .4016042    -0.73   0.465    -1.080995    .4941097
     _Istateicps_66 |  -.0269509   .2760531    -0.10   0.922    -.5682956    .5143938
     _Istateicps_67 |  -.3323927   .2730732    -1.22   0.224    -.8678937    .2031083
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .5993102   .2874261     2.09   0.037     .0356629    1.162957
     _Istateicps_72 |   .1997565   .2285788     0.87   0.382    -.2484902    .6480033
     _Istateicps_73 |   .5619873   .2773635     2.03   0.043      .018073    1.105902
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.659589    1.21742    -2.18   0.029    -5.046969   -.2722086
-------------------------------------------------------------------------------------

. margins , dydx(iNDEXP_PC) at(c40e_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,329
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iNDEXP_PC

1._at        : c40e_10         =           1

2._at        : c40e_10         =           2

3._at        : c40e_10         =           3

4._at        : c40e_10         =           4

5._at        : c40e_10         =           5

6._at        : c40e_10         =           6

7._at        : c40e_10         =           7

8._at        : c40e_10         =           8

9._at        : c40e_10         =           9

10._at       : c40e_10         =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iNDEXP_PC    |
         _at |
          1  |  -.0407658   .0898489    -0.45   0.650     -.216961    .1354294
          2  |   .2861887   .4025223     0.71   0.477    -.5031643    1.075542
          3  |   .2413055   .1312659     1.84   0.066    -.0161091    .4987201
          4  |   .2554137   .1367866     1.87   0.062    -.0128271    .5236545
          5  |   .2959947   .1321382     2.24   0.025     .0368695    .5551199
          6  |   .4024264   .1325707     3.04   0.002     .1424531    .6623998
          7  |    .461691   .1233297     3.74   0.000     .2198394    .7035425
          8  |   .5685173   .1493469     3.81   0.000     .2756456     .861389
          9  |    .247237   .1536275     1.61   0.108    -.0540291     .548503
         10  |   .3994321   .1282756     3.11   0.002     .1478815    .6509827
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1940 employment rate, size(large)) ytitle({&beta}: N
> ew Deal grants on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("A. Employment and New Deal grants", size(huge))

  Variables that uniquely identify margins: c40e_10

. graph export "results/figures/AppFig3A-margins-ndexp-e40.pdf", replace as(pdf)
(file results/figures/AppFig3A-margins-ndexp-e40.pdf written in PDF format)

. 
. xi: reg pc1 c.iAGRI_PF##i.c40e_10   $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(73, 2255)       =      81.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6625
                                                Root MSE          =     .74194

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0549443   .0533473     1.03   0.303    -.0496707    .1595593
                    |
            c40e_10 |
                 2  |  -.5176266   .4891226    -1.06   0.290    -1.476804     .441551
                 3  |  -.8353753   .4657273    -1.79   0.073    -1.748674    .0779237
                 4  |  -1.449227   .4637541    -3.12   0.002    -2.358656   -.5397973
                 5  |  -.7982387   .4488508    -1.78   0.075    -1.678442     .081965
                 6  |  -1.140178   .6035864    -1.89   0.059    -2.323821    .0434649
                 7  |  -1.829168   .4860116    -3.76   0.000    -2.782245   -.8760911
                 8  |  -2.304243   .5996395    -3.84   0.000    -3.480145    -1.12834
                 9  |  -.8024725     .74652    -1.07   0.283    -2.266411    .6614657
                10  |  -2.361675   .5704576    -4.14   0.000    -3.480351   -1.242998
                    |
 c40e_10#c.iAGRI_PF |
                 2  |   .1026469   .0857588     1.20   0.231    -.0655275    .2708213
                 3  |   .1499418   .0783343     1.91   0.056     -.003673    .3035566
                 4  |   .2537809   .0752891     3.37   0.001     .1061377    .4014241
                 5  |    .160345   .0728451     2.20   0.028     .0174945    .3031955
                 6  |   .2083271   .0925317     2.25   0.024     .0268708    .3897834
                 7  |   .3181348   .0774779     4.11   0.000     .1661994    .4700702
                 8  |   .3862776   .0960574     4.02   0.000     .1979076    .5746477
                 9  |   .1307264   .1199595     1.09   0.276    -.1045162     .365969
                10  |   .3728243   .0908256     4.10   0.000     .1947138    .5509349
                    |
         ww1_vol_sh |   .4726464   .1143404     4.13   0.000     .2484231    .6968698
ww1_awards_pop10_is |   .5614628   .2705327     2.08   0.038     .0309437    1.091982
             lpop30 |  -.1273814   .0711314    -1.79   0.073    -.2668713    .0121085
           c30unemp |    1.79724   .8795952     2.04   0.041     .0723394    3.522141
          c30urban1 |   .1041592   .0421889     2.47   0.014     .0214262    .1868922
            c30farm |  -.3587411   .1899033    -1.89   0.059    -.7311445    .0136623
            iYf_T29 |   .0412026   .0566783     0.73   0.467    -.0699445    .1523496
           MEAN9628 |   .0022102   .0019969     1.11   0.268    -.0017057    .0061261
             c30men |  -6.187994   1.473381    -4.20   0.000    -9.077319   -3.298669
           c30black |   -1.09077   .1443937    -7.55   0.000    -1.373929   -.8076121
             c30jap |   13.47819    7.13594     1.89   0.059    -.5155068    27.47189
             c30deu |   -.084001    .680718    -0.12   0.902      -1.4189    1.250898
             c30ita |  -.2238937   1.094848    -0.20   0.838    -2.370909    1.923121
             c30vet |   3.702396   .7810197     4.74   0.000     2.170803    5.233988
           lc40wage |   .9980309   .1295285     7.71   0.000     .7440234    1.252038
      iwarconpro_PC |    .234642    .031913     7.35   0.000     .1720601    .2972239
      _Istateicps_2 |  -.1551745   .2261212    -0.69   0.493    -.5986019     .288253
      _Istateicps_3 |  -.0134349   .2155407    -0.06   0.950    -.4361139    .4092441
      _Istateicps_4 |   .3235272    .290571     1.11   0.266    -.2462874    .8933418
      _Istateicps_5 |  -.0449771   .4791527    -0.09   0.925    -.9846034    .8946493
      _Istateicps_6 |   .5073515    .270736     1.87   0.061    -.0235663    1.038269
     _Istateicps_11 |  -.1610637   .2275584    -0.71   0.479    -.6073094     .285182
     _Istateicps_12 |  -.3226359    .185139    -1.74   0.082    -.6856966    .0404247
     _Istateicps_13 |   .1491006   .1732602     0.86   0.390    -.1906655    .4888666
     _Istateicps_14 |  -.3657688   .1804345    -2.03   0.043    -.7196038   -.0119338
     _Istateicps_21 |  -.0931034   .2052164    -0.45   0.650    -.4955362    .3093295
     _Istateicps_22 |   -.401246    .204314    -1.96   0.050    -.8019092   -.0005828
     _Istateicps_23 |  -.1772064   .2302337    -0.77   0.442    -.6286984    .2742857
     _Istateicps_24 |  -.2663954   .2016538    -1.32   0.187    -.6618419    .1290512
     _Istateicps_25 |   .0445319   .2630311     0.17   0.866    -.4712764    .5603403
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2046468    .200722    -1.02   0.308    -.5982659    .1889723
     _Istateicps_41 |   .0816689    .197506     0.41   0.679    -.3056436    .4689813
     _Istateicps_42 |  -.8499833   .1995749    -4.26   0.000    -1.241353   -.4586136
     _Istateicps_43 |   .3965363   .2369317     1.67   0.094    -.0680907    .8611634
     _Istateicps_44 |   .0228312   .1988838     0.11   0.909    -.3671832    .4128456
     _Istateicps_45 |  -.6397369   .1964206    -3.26   0.001    -1.024921   -.2545527
     _Istateicps_46 |    .240462   .2076147     1.16   0.247    -.1666739    .6475978
     _Istateicps_47 |  -.1897635   .1955564    -0.97   0.332    -.5732529    .1937258
     _Istateicps_48 |  -.3400202   .2108976    -1.61   0.107    -.7535938    .0735535
     _Istateicps_49 |   .9376157   .1976163     4.74   0.000     .5500869    1.325144
     _Istateicps_51 |  -.2390263   .1953547    -1.22   0.221    -.6221202    .1440675
     _Istateicps_52 |  -.6114795   .2545069    -2.40   0.016    -1.110572   -.1123873
     _Istateicps_53 |    .281885   .1982583     1.42   0.155    -.1069029    .6706729
     _Istateicps_54 |  -.2366458   .1916342    -1.23   0.217    -.6124437    .1391521
     _Istateicps_56 |    .032158   .2067661     0.16   0.876    -.3733137    .4376297
     _Istateicps_61 |  -.5739366   .2739381    -2.10   0.036    -1.111134   -.0367393
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |    .151507   .2608573     0.58   0.561    -.3600385    .6630525
     _Istateicps_64 |    1.40857   .2719508     5.18   0.000     .8752703     1.94187
     _Istateicps_65 |   -.047434   .3899353    -0.12   0.903    -.8121035    .7172356
     _Istateicps_66 |    .011596   .2648217     0.04   0.965    -.5077237    .5309157
     _Istateicps_67 |  -.2616766   .2748966    -0.95   0.341    -.8007534    .2774002
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .5334157   .3089759     1.73   0.084     -.072491    1.139322
     _Istateicps_72 |   .1664527   .2538867     0.66   0.512    -.3314233    .6643287
     _Istateicps_73 |   .6164601   .2748194     2.24   0.025     .0775347    1.155385
     _Istateicps_98 |          0  (omitted)
              _cons |  -3.298688   1.197092    -2.76   0.006    -5.646205   -.9511718
-------------------------------------------------------------------------------------

. margins , dydx(iAGRI_PF) at(c40e_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,329
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iAGRI_PF

1._at        : c40e_10         =           1

2._at        : c40e_10         =           2

3._at        : c40e_10         =           3

4._at        : c40e_10         =           4

5._at        : c40e_10         =           5

6._at        : c40e_10         =           6

7._at        : c40e_10         =           7

8._at        : c40e_10         =           8

9._at        : c40e_10         =           9

10._at       : c40e_10         =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iAGRI_PF     |
         _at |
          1  |   .0549443   .0533473     1.03   0.303    -.0496707    .1595593
          2  |   .1575912   .0623506     2.53   0.012     .0353207    .2798618
          3  |   .2048861   .0646776     3.17   0.002     .0780523      .33172
          4  |   .3087253   .0600024     5.15   0.000     .1910595     .426391
          5  |   .2152893   .0549475     3.92   0.000     .1075364    .3230422
          6  |   .2632714   .0794684     3.31   0.001     .1074325    .4191103
          7  |   .3730791   .0614158     6.07   0.000     .2526417    .4935165
          8  |    .441222   .0834398     5.29   0.000     .2775952    .6048487
          9  |   .1856707   .1105886     1.68   0.093    -.0311954    .4025368
         10  |   .4277687   .0772943     5.53   0.000     .2761932    .5793441
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1940 employment rate, size(large)) ytitle({&beta}: A
> gri support on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("B. Employment and agri support", size(huge))

  Variables that uniquely identify margins: c40e_10

. graph export "results/figures/AppFig3B-margins-aaa-e40.pdf", replace as(pdf)
(file results/figures/AppFig3B-margins-aaa-e40.pdf written in PDF format)

. 
. xi: reg pc1 c.iNDEXP_PC##i.c40w_10  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(73, 2255)       =      84.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6526
                                                Root MSE          =     .75275

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |  -.0404985   .1729678    -0.23   0.815    -.3796913    .2986942
                    |
            c40w_10 |
                 2  |  -.1615466   1.002293    -0.16   0.872    -2.127061    1.803968
                 3  |  -1.035632    1.06609    -0.97   0.331    -3.126252    1.054987
                 4  |  -1.219721   1.012118    -1.21   0.228    -3.204501    .7650591
                 5  |  -2.281619   1.060033    -2.15   0.031    -4.360361   -.2028779
                 6  |  -2.215374   .9817063    -2.26   0.024    -4.140517    -.290232
                 7  |  -.8653659   1.054347    -0.82   0.412    -2.932958    1.202226
                 8  |   -1.21005   1.180716    -1.02   0.306    -3.525454    1.105354
                 9  |  -3.375341   2.644594    -1.28   0.202    -8.561433    1.810752
                10  |   .0122695    1.14156     0.01   0.991    -2.226348    2.250888
                    |
c40w_10#c.iNDEXP_PC |
                 2  |   .0618484   .1984404     0.31   0.755    -.3272964    .4509932
                 3  |   .2514684   .2104247     1.20   0.232    -.1611779    .6641148
                 4  |   .3072891   .1984409     1.55   0.122    -.0818568     .696435
                 5  |   .5047966   .2059925     2.45   0.014     .1008419    .9087513
                 6  |   .5076587    .191229     2.65   0.008     .1326554     .882662
                 7  |   .2770546   .2028653     1.37   0.172    -.1207677    .6748768
                 8  |   .3299975   .2245411     1.47   0.142    -.1103312    .7703263
                 9  |   .7259946    .494635     1.47   0.142    -.2439929    1.695982
                10  |   .0881264   .2137914     0.41   0.680     -.331122    .5073748
                    |
         ww1_vol_sh |    .417068   .1086463     3.84   0.000     .2040108    .6301252
ww1_awards_pop10_is |    .624671   .2769399     2.26   0.024     .0815873    1.167755
             lpop30 |   -.119473   .0558403    -2.14   0.032    -.2289767   -.0099693
           c30unemp |   .9624034    .765875     1.26   0.209    -.5394902    2.464297
          c30urban1 |   .1252895   .0446703     2.80   0.005     .0376903    .2128886
            c30farm |  -.3167256   .1786246    -1.77   0.076    -.6670115    .0335603
            iYf_T29 |   .0980615   .0471878     2.08   0.038     .0055254    .1905976
           MEAN9628 |   .0057018   .0018227     3.13   0.002     .0021275     .009276
             c30men |  -7.108693   1.611996    -4.41   0.000    -10.26984   -3.947543
           c30black |  -1.233387   .1361139    -9.06   0.000    -1.500308   -.9664651
             c30jap |   11.58696   6.146866     1.89   0.060     -.467143    23.64107
             c30deu |    .569748   .6629931     0.86   0.390    -.7303925    1.869889
             c30ita |  -.1939559    1.00972    -0.19   0.848    -2.174034    1.786122
             c30vet |   3.733918   .9241172     4.04   0.000     1.921709    5.546127
           lc40wage |   .7431207   .2705383     2.75   0.006     .2125906    1.273651
      iwarconpro_PC |   .2307507   .0361721     6.38   0.000     .1598165    .3016848
      _Istateicps_2 |  -.2518107   .1951698    -1.29   0.197    -.6345419    .1309206
      _Istateicps_3 |  -.1418362   .2166171    -0.65   0.513    -.5666258    .2829534
      _Istateicps_4 |   .2481239   .2713429     0.91   0.361    -.2839839    .7802317
      _Istateicps_5 |  -.0292151    .449602    -0.06   0.948    -.9108921    .8524619
      _Istateicps_6 |   .5006301   .2338642     2.14   0.032     .0420185    .9592416
     _Istateicps_11 |  -.2580996   .1748146    -1.48   0.140    -.6009139    .0847147
     _Istateicps_12 |  -.3450086   .1589262    -2.17   0.030    -.6566654   -.0333517
     _Istateicps_13 |   .0262354   .1472434     0.18   0.859    -.2625113    .3149822
     _Istateicps_14 |  -.6104435   .1466673    -4.16   0.000    -.8980606   -.3228265
     _Istateicps_21 |   .0371346   .1699429     0.22   0.827    -.2961263    .3703956
     _Istateicps_22 |  -.3082945   .1653194    -1.86   0.062    -.6324885    .0158995
     _Istateicps_23 |  -.2229991   .1818856    -1.23   0.220    -.5796798    .1336817
     _Istateicps_24 |  -.2703327   .1636001    -1.65   0.099    -.5911552    .0504897
     _Istateicps_25 |   .0942864   .2114239     0.45   0.656    -.3203193    .5088921
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2681529   .1804098    -1.49   0.137    -.6219395    .0856338
     _Istateicps_41 |   .0971863   .1818904     0.53   0.593    -.2595037    .4538762
     _Istateicps_42 |  -.7641836   .1793621    -4.26   0.000    -1.115916   -.4124516
     _Istateicps_43 |   .3314816   .2078648     1.59   0.111    -.0761447    .7391078
     _Istateicps_44 |   .1261186   .1777557     0.71   0.478    -.2224633    .4747005
     _Istateicps_45 |  -.6515162    .182479    -3.57   0.000    -1.009361   -.2936719
     _Istateicps_46 |   .1344048   .1914823     0.70   0.483    -.2410952    .5099048
     _Istateicps_47 |  -.1563653   .1739872    -0.90   0.369     -.497557    .1848264
     _Istateicps_48 |  -.3047141   .1968759    -1.55   0.122    -.6907909    .0813627
     _Istateicps_49 |    1.15949   .1793733     6.46   0.000     .8077366    1.511244
     _Istateicps_51 |  -.1737077   .1674385    -1.04   0.300    -.5020573    .1546419
     _Istateicps_52 |  -.5750807    .217962    -2.64   0.008    -1.002508   -.1476535
     _Istateicps_53 |   .3899439   .1821754     2.14   0.032     .0326949    .7471929
     _Istateicps_54 |  -.1994286   .1709621    -1.17   0.244    -.5346881     .135831
     _Istateicps_56 |  -.1783117   .1788583    -1.00   0.319    -.5290557    .1724323
     _Istateicps_61 |  -.8152286   .3215579    -2.54   0.011    -1.445809   -.1846482
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1126803   .2371036     0.48   0.635    -.3522837    .5776443
     _Istateicps_64 |   1.390416   .2636452     5.27   0.000     .8734037    1.907429
     _Istateicps_65 |  -.0132607   .4226408    -0.03   0.975    -.8420663     .815545
     _Istateicps_66 |  -.0740548    .257657    -0.29   0.774    -.5793244    .4312148
     _Istateicps_67 |  -.3684899   .2582838    -1.43   0.154    -.8749886    .1380089
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .6604246    .281115     2.35   0.019     .1091534    1.211696
     _Istateicps_72 |   .3278377   .2200803     1.49   0.136    -.1037435    .7594189
     _Istateicps_73 |   .6314587    .267414     2.36   0.018     .1070555    1.155862
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.342078   2.109967    -0.64   0.525    -5.479758    2.795602
-------------------------------------------------------------------------------------

. margins , dydx(iNDEXP_PC) at(c40w_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,329
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iNDEXP_PC

1._at        : c40w_10         =           1

2._at        : c40w_10         =           2

3._at        : c40w_10         =           3

4._at        : c40w_10         =           4

5._at        : c40w_10         =           5

6._at        : c40w_10         =           6

7._at        : c40w_10         =           7

8._at        : c40w_10         =           8

9._at        : c40w_10         =           9

10._at       : c40w_10         =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iNDEXP_PC    |
         _at |
          1  |  -.0404985   .1729678    -0.23   0.815    -.3796913    .2986942
          2  |   .0213499   .1283763     0.17   0.868    -.2303982     .273098
          3  |   .2109699   .1453371     1.45   0.147    -.0740386    .4959784
          4  |   .2667906   .1198506     2.23   0.026     .0317615    .5018196
          5  |   .4642981   .1303899     3.56   0.000     .2086013    .7199948
          6  |   .4671602     .09535     4.90   0.000     .2801773     .654143
          7  |    .236556   .1155835     2.05   0.041     .0098948    .4632173
          8  |    .289499   .1495023     1.94   0.053    -.0036774    .5826754
          9  |    .685496   .4627315     1.48   0.139    -.2219281     1.59292
         10  |   .0476279   .1278904     0.37   0.710    -.2031672     .298423
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1939 average wage, size(large)) ytitle({&beta}: New 
> Deal grants on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("C. Income and New Deal grants", size(huge))

  Variables that uniquely identify margins: c40w_10

. graph export "results/figures/AppFig3C-margins-ndexp-w39.pdf", replace as(pdf)
(file results/figures/AppFig3C-margins-ndexp-w39.pdf written in PDF format)

. 
. xi: reg pc1 c.iAGRI_PF##i.c40w_10  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(73, 2255)       =      87.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6627
                                                Root MSE          =     .74173

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2388217   .0845405     2.82   0.005     .0730364    .4046069
                    |
            c40w_10 |
                 2  |   .2552695   .6919505     0.37   0.712    -1.101657    1.612196
                 3  |   .3759264   .6993461     0.54   0.591    -.9955029    1.747356
                 4  |  -.0491037   .6555766    -0.07   0.940      -1.3347    1.236493
                 5  |  -.2423076   .7076257    -0.34   0.732    -1.629973    1.145358
                 6  |   .0127723   .6223943     0.02   0.984    -1.207753    1.233298
                 7  |   .7331757   .6510244     1.13   0.260    -.5434939    2.009845
                 8  |   1.066956   .7148946     1.49   0.136    -.3349642    2.468876
                 9  |   .2896186   .7285637     0.40   0.691    -1.139107    1.718344
                10  |   1.595689   .7196932     2.22   0.027     .1843582    3.007019
                    |
 c40w_10#c.iAGRI_PF |
                 2  |  -.0110567   .1109988    -0.10   0.921    -.2287271    .2066138
                 3  |  -.0114586   .1142083    -0.10   0.920    -.2354229    .2125057
                 4  |   .0669952   .1037764     0.65   0.519    -.1365121    .2705024
                 5  |   .1023181   .1116308     0.92   0.359    -.1165918     .321228
                 6  |   .0737401   .0974943     0.76   0.450    -.1174478     .264928
                 7  |  -.0261932   .1013461    -0.26   0.796    -.2249345    .1725481
                 8  |  -.0845703   .1105841    -0.76   0.444    -.3014277     .132287
                 9  |   .0383654   .1138819     0.34   0.736    -.1849589    .2616898
                10  |  -.1901573   .1066209    -1.78   0.075    -.3992427     .018928
                    |
         ww1_vol_sh |   .3950436   .1145534     3.45   0.001     .1704025    .6196847
ww1_awards_pop10_is |   .5785206   .2644237     2.19   0.029     .0599813     1.09706
             lpop30 |  -.1199571   .0730757    -1.64   0.101    -.2632597    .0233455
           c30unemp |   1.408759   .9093735     1.55   0.121    -.3745372    3.192056
          c30urban1 |   .0716984   .0438116     1.64   0.102    -.0142168    .1576136
            c30farm |  -.4428477   .1782146    -2.48   0.013    -.7923295   -.0933659
            iYf_T29 |   .0332902   .0564264     0.59   0.555    -.0773629    .1439433
           MEAN9628 |   .0024812   .0019901     1.25   0.213    -.0014214    .0063839
             c30men |  -6.383575   1.533145    -4.16   0.000    -9.390098   -3.377052
           c30black |  -1.112471   .1426867    -7.80   0.000    -1.392282   -.8326596
             c30jap |   10.73641   7.168927     1.50   0.134    -3.321976    24.79479
             c30deu |    .002272    .649519     0.00   0.997    -1.271445     1.27599
             c30ita |    .134415   1.093677     0.12   0.902    -2.010304    2.279134
             c30vet |    4.45122    .856223     5.20   0.000     2.772153    6.130287
           lc40wage |   .6523318   .2641226     2.47   0.014     .1343831    1.170281
      iwarconpro_PC |   .2646934   .0314021     8.43   0.000     .2031133    .3262735
      _Istateicps_2 |  -.1324157   .2091294    -0.63   0.527     -.542522    .2776905
      _Istateicps_3 |  -.0206113    .211715    -0.10   0.922     -.435788    .3945654
      _Istateicps_4 |   .2720971   .2869566     0.95   0.343    -.2906296    .8348238
      _Istateicps_5 |  -.1039893   .5025379    -0.21   0.836    -1.089474    .8814958
      _Istateicps_6 |   .4925812     .26158     1.88   0.060    -.0203815    1.005544
     _Istateicps_11 |  -.1518778   .1874357    -0.81   0.418    -.5194423    .2156867
     _Istateicps_12 |  -.3110859   .1807223    -1.72   0.085    -.6654853    .0433134
     _Istateicps_13 |   .0902683   .1693313     0.53   0.594    -.2417932    .4223298
     _Istateicps_14 |  -.3740328    .175401    -2.13   0.033     -.717997   -.0300686
     _Istateicps_21 |  -.0265231   .1976083    -0.13   0.893    -.4140363    .3609902
     _Istateicps_22 |  -.3657516   .1997126    -1.83   0.067    -.7573914    .0258882
     _Istateicps_23 |  -.1476607   .2216382    -0.67   0.505    -.5822968    .2869755
     _Istateicps_24 |  -.2310002   .1986107    -1.16   0.245    -.6204791    .1584787
     _Istateicps_25 |   .0659766    .253414     0.26   0.795    -.4309724    .5629256
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2577142   .1968724    -1.31   0.191    -.6437843    .1283559
     _Istateicps_41 |   .0880146   .1957412     0.45   0.653    -.2958372    .4718664
     _Istateicps_42 |  -.7767028    .196755    -3.95   0.000    -1.162543   -.3908629
     _Istateicps_43 |   .3891797    .231846     1.68   0.093    -.0654741    .8438336
     _Istateicps_44 |   .0507347   .1951878     0.26   0.795    -.3320318    .4335012
     _Istateicps_45 |  -.7044893   .1971694    -3.57   0.000    -1.091142   -.3178368
     _Istateicps_46 |   .2276272   .2053984     1.11   0.268    -.1751624    .6304169
     _Istateicps_47 |  -.2491219   .1910407    -1.30   0.192    -.6237558     .125512
     _Istateicps_48 |  -.3521172   .2084566    -1.69   0.091     -.760904    .0566697
     _Istateicps_49 |   .9710756   .1971904     4.92   0.000     .5843821    1.357769
     _Istateicps_51 |  -.1730555   .1913887    -0.90   0.366    -.5483719    .2022609
     _Istateicps_52 |   -.636863   .2479414    -2.57   0.010     -1.12308   -.1506457
     _Istateicps_53 |   .2712502    .197085     1.38   0.169    -.1152367    .6577371
     _Istateicps_54 |   -.219485   .1904558    -1.15   0.249    -.5929719     .154002
     _Istateicps_56 |   .0766827   .2016215     0.38   0.704    -.3187004    .4720659
     _Istateicps_61 |  -.6963535   .2757454    -2.53   0.012    -1.237095   -.1556121
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0741792   .2575628     0.29   0.773    -.4309057    .5792641
     _Istateicps_64 |   1.337264    .263596     5.07   0.000     .8203478     1.85418
     _Istateicps_65 |   .0789888   .3967913     0.20   0.842    -.6991255     .857103
     _Istateicps_66 |  -.0368374   .2572764    -0.14   0.886    -.5413607    .4676859
     _Istateicps_67 |  -.3031045   .2673349    -1.13   0.257    -.8273527    .2211436
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .5462601   .3091369     1.77   0.077    -.0599625    1.152483
     _Istateicps_72 |   .2204569   .2515452     0.88   0.381    -.2728274    .7137411
     _Istateicps_73 |   .6496837   .2727858     2.38   0.017     .1147463    1.184621
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.447895   1.830662    -1.34   0.181    -6.037853    1.142063
-------------------------------------------------------------------------------------

. margins , dydx(iAGRI_PF) at(c40w_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,329
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iAGRI_PF

1._at        : c40w_10         =           1

2._at        : c40w_10         =           2

3._at        : c40w_10         =           3

4._at        : c40w_10         =           4

5._at        : c40w_10         =           5

6._at        : c40w_10         =           6

7._at        : c40w_10         =           7

8._at        : c40w_10         =           8

9._at        : c40w_10         =           9

10._at       : c40w_10         =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iAGRI_PF     |
         _at |
          1  |   .2388217   .0845405     2.82   0.005     .0730364    .4046069
          2  |    .227765   .0768301     2.96   0.003     .0770999    .3784301
          3  |   .2273631   .0793096     2.87   0.004     .0718356    .3828905
          4  |   .3058168   .0635346     4.81   0.000     .1812244    .4304093
          5  |   .3411398   .0754003     4.52   0.000     .1932786     .489001
          6  |   .3125618   .0481282     6.49   0.000     .2181816     .406942
          7  |   .2126285    .056618     3.76   0.000     .1015997    .3236573
          8  |   .1542513     .07187     2.15   0.032     .0133131    .2951895
          9  |   .2771871   .0720106     3.85   0.000     .1359731    .4184011
         10  |   .0486643    .065804     0.74   0.460    -.0803784    .1777071
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1939 average wage, size(large)) ytitle({&beta}: Agri
>  support on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("D. Income and agri support", size(huge))

  Variables that uniquely identify margins: c40w_10

. graph export "results/figures/AppFig3D-margins-aaa-w39.pdf", replace as(pdf)
(file results/figures/AppFig3D-margins-aaa-w39.pdf written in PDF format)

. 
. ***************************************************************************************************
. ****         Fig 4. Heterogeneity: FDR support                                                     ****
. ***************************************************************************************************
. xi: reg pc1 c.iNDEXP_PC##i.fdr40_10  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,304
                                                F(73, 2230)       =      80.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6519
                                                Root MSE          =      .7529

--------------------------------------------------------------------------------------
                     |               Robust
                 pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           iNDEXP_PC |   .6996635   .5430495     1.29   0.198    -.3652721    1.764599
                     |
            fdr40_10 |
                  2  |   1.814764    2.84696     0.64   0.524    -3.768206    7.397735
                  3  |   1.065093   2.822553     0.38   0.706    -4.470013      6.6002
                  4  |   2.185616    2.83125     0.77   0.440    -3.366545    7.737777
                  5  |   2.940096   2.840966     1.03   0.301    -2.631119     8.51131
                  6  |   4.156367   2.868645     1.45   0.148    -1.469128    9.781862
                  7  |   2.575713   2.882047     0.89   0.372    -3.076064    8.227489
                  8  |   2.268275   2.997077     0.76   0.449    -3.609078    8.145628
                  9  |   1.750112   3.048421     0.57   0.566    -4.227929    7.728153
                 10  |   2.177642   3.101621     0.70   0.483    -3.904725    8.260009
                     |
fdr40_10#c.iNDEXP_PC |
                  2  |  -.3382811   .5363316    -0.63   0.528    -1.390043    .7134805
                  3  |  -.2063295   .5308992    -0.39   0.698    -1.247438    .8347789
                  4  |  -.4060578   .5341234    -0.76   0.447    -1.453489    .6413734
                  5  |  -.5586312   .5347178    -1.04   0.296    -1.607228    .4899655
                  6  |   -.786468   .5421963    -1.45   0.147     -1.84973    .2767942
                  7  |  -.4668204   .5442776    -0.86   0.391    -1.534164    .6005234
                  8  |  -.3960103   .5662822    -0.70   0.484    -1.506506    .7144851
                  9  |  -.2961757    .576906    -0.51   0.608    -1.427505    .8351533
                 10  |  -.3941245   .5872131    -0.67   0.502    -1.545666    .7574171
                     |
          ww1_vol_sh |   .4272883   .0993419     4.30   0.000     .2324761    .6221005
 ww1_awards_pop10_is |   .6007224     .26358     2.28   0.023     .0838345     1.11761
              lpop30 |  -.1429735   .0493564    -2.90   0.004    -.2397628   -.0461841
            c30unemp |   1.132703   .7446979     1.52   0.128    -.3276703    2.593077
           c30urban1 |   .1788133   .0444289     4.02   0.000     .0916869    .2659397
             c30farm |  -.2651073   .1870175    -1.42   0.156    -.6318538    .1016392
             iYf_T29 |     .09686   .0474019     2.04   0.041     .0039036    .1898165
            MEAN9628 |   .0039341   .0024892     1.58   0.114    -.0009472    .0088154
              c30men |  -6.608753     1.5336    -4.31   0.000    -9.616187   -3.601319
            c30black |  -1.209635   .1452666    -8.33   0.000    -1.494507   -.9247635
              c30jap |   12.29685   6.039055     2.04   0.042      .454092    24.13961
              c30deu |   .6000957   .6899464     0.87   0.385    -.7529088      1.9531
              c30ita |  -.4992226   1.001265    -0.50   0.618    -2.462731    1.464286
              c30vet |   3.162499   .8902561     3.55   0.000     1.416681    4.908316
            lc40wage |   1.168875   .1307472     8.94   0.000     .9124756    1.425274
       iwarconpro_PC |   .2090598    .031557     6.62   0.000     .1471756    .2709439
       _Istateicps_2 |  -.2390197   .2007192    -1.19   0.234    -.6326357    .1545964
       _Istateicps_3 |  -.2001381   .2288927    -0.87   0.382    -.6490032    .2487271
       _Istateicps_4 |   .2192871   .2709849     0.81   0.418     -.312122    .7506962
       _Istateicps_5 |  -.1398055   .4061174    -0.34   0.731    -.9362132    .6566023
       _Istateicps_6 |   .4889702   .2420086     2.02   0.043     .0143843     .963556
      _Istateicps_11 |  -.3128607   .1782601    -1.76   0.079    -.6624337    .0367124
      _Istateicps_12 |  -.4336491   .1651469    -2.63   0.009    -.7575068   -.1097913
      _Istateicps_13 |  -.0328001   .1579703    -0.21   0.836    -.3425843    .2769841
      _Istateicps_14 |  -.6386203   .1590281    -4.02   0.000     -.950479   -.3267617
      _Istateicps_21 |  -.0480701   .1947714    -0.25   0.805    -.4300223     .333882
      _Istateicps_22 |  -.3527052   .1767926    -2.00   0.046    -.6994005   -.0060099
      _Istateicps_23 |  -.3275292   .2224468    -1.47   0.141    -.7637537    .1086952
      _Istateicps_24 |  -.3503401   .1784585    -1.96   0.050    -.7003022    -.000378
      _Istateicps_25 |   .0453061   .2263405     0.20   0.841     -.398554    .4891662
      _Istateicps_31 |          0  (omitted)
      _Istateicps_32 |          0  (omitted)
      _Istateicps_33 |          0  (omitted)
      _Istateicps_34 |          0  (omitted)
      _Istateicps_35 |          0  (omitted)
      _Istateicps_36 |          0  (omitted)
      _Istateicps_37 |          0  (omitted)
      _Istateicps_40 |  -.3719555   .1840847    -2.02   0.043    -.7329509   -.0109601
      _Istateicps_41 |   .0061542   .1907926     0.03   0.974    -.3679954    .3803039
      _Istateicps_42 |  -.9605801   .1896627    -5.06   0.000    -1.332514   -.5886463
      _Istateicps_43 |   .2388253   .2158005     1.11   0.269    -.1843655    .6620162
      _Istateicps_44 |   .0088892   .1896496     0.05   0.963    -.3630191    .3807974
      _Istateicps_45 |  -.7789032   .1860322    -4.19   0.000    -1.143718   -.4140887
      _Istateicps_46 |   .0533058   .2013865     0.26   0.791    -.3416188    .4482304
      _Istateicps_47 |  -.2739767   .1810681    -1.51   0.130    -.6290563    .0811029
      _Istateicps_48 |  -.4096002   .2092091    -1.96   0.050    -.8198652    .0006648
      _Istateicps_49 |   1.033682   .1924095     5.37   0.000     .6563617    1.411003
      _Istateicps_51 |  -.2838446   .1739501    -1.63   0.103    -.6249657    .0572764
      _Istateicps_52 |  -.6097517   .2231884    -2.73   0.006    -1.047431   -.1720728
      _Istateicps_53 |   .3569998   .1828993     1.95   0.051    -.0016708    .7156705
      _Istateicps_54 |  -.2735506   .1865583    -1.47   0.143    -.6393966    .0922954
      _Istateicps_56 |  -.2356543   .1771558    -1.33   0.184     -.583062    .1117533
      _Istateicps_61 |  -.6301695    .283667    -2.22   0.026    -1.186449   -.0738905
      _Istateicps_62 |          0  (omitted)
      _Istateicps_63 |   .1800882   .2440219     0.74   0.461    -.2984457     .658622
      _Istateicps_64 |   1.480298   .2588102     5.72   0.000     .9727637    1.987832
      _Istateicps_65 |  -.1975234   .3829196    -0.52   0.606    -.9484396    .5533928
      _Istateicps_66 |  -.0882158   .2702679    -0.33   0.744    -.6182189    .4417872
      _Istateicps_67 |  -.3553295   .2594751    -1.37   0.171    -.8641676    .1535086
      _Istateicps_68 |          0  (omitted)
      _Istateicps_71 |   .5405743   .2704293     2.00   0.046     .0102547    1.070894
      _Istateicps_72 |   .2618996   .2251419     1.16   0.245    -.1796101    .7034093
      _Istateicps_73 |   .5957622   .2662029     2.24   0.025     .0737308    1.117794
      _Istateicps_98 |          0  (omitted)
               _cons |  -7.487817   3.092256    -2.42   0.016    -13.55182   -1.423816
--------------------------------------------------------------------------------------

. margins , dydx(iNDEXP_PC) at(fdr40_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,304
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iNDEXP_PC

1._at        : fdr40_10        =           1

2._at        : fdr40_10        =           2

3._at        : fdr40_10        =           3

4._at        : fdr40_10        =           4

5._at        : fdr40_10        =           5

6._at        : fdr40_10        =           6

7._at        : fdr40_10        =           7

8._at        : fdr40_10        =           8

9._at        : fdr40_10        =           9

10._at       : fdr40_10        =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iNDEXP_PC    |
         _at |
          1  |   .6996635   .5430495     1.29   0.198    -.3652721    1.764599
          2  |   .3613824   .1123214     3.22   0.001      .141117    .5816478
          3  |    .493334    .138764     3.56   0.000     .2212138    .7654542
          4  |   .2936057   .1152742     2.55   0.011     .0675497    .5196616
          5  |   .1410322   .1043962     1.35   0.177    -.0636918    .3457562
          6  |  -.0868046   .1073054    -0.81   0.419    -.2972336    .1236244
          7  |    .232843   .1034974     2.25   0.025     .0298817    .4358043
          8  |   .3036531   .1443862     2.10   0.036     .0205077    .5867985
          9  |   .4034878   .2037246     1.98   0.048     .0039781    .8029975
         10  |    .305539   .1704849     1.79   0.073    -.0287868    .6398647
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1940 Roosevelt support, size(large)) ytitle({&beta}:
>  New Deal grants on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("A. New Deal grants", size(huge))

  Variables that uniquely identify margins: fdr40_10

. graph export "results/figures/AppFig4A-margins-ndexp-fdr40.pdf", replace as(pdf)
(file results/figures/AppFig4A-margins-ndexp-fdr40.pdf written in PDF format)

. 
. xi: reg pc1 c.iAGRI_PF##i.fdr40_10    $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,304
                                                F(73, 2230)       =      81.00
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6637
                                                Root MSE          =     .73999

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2558369   .1092962     2.34   0.019      .041504    .4701697
                    |
           fdr40_10 |
                 2  |  -.3215569     .66721    -0.48   0.630    -1.629975    .9868609
                 3  |  -.4212216   .7062253    -0.60   0.551    -1.806149    .9637063
                 4  |  -.2249111   .7325227    -0.31   0.759    -1.661409    1.211587
                 5  |   .8944482   .7830146     1.14   0.253    -.6410656    2.429962
                 6  |   .9552276   .7840172     1.22   0.223    -.5822523    2.492708
                 7  |   .9900482   .8042092     1.23   0.218    -.5870289    2.567125
                 8  |  -.2825395   .8423183    -0.34   0.737     -1.93435    1.369271
                 9  |  -1.120683   .9297615    -1.21   0.228    -2.943971    .7026058
                10  |   .3640813   .8942814     0.41   0.684     -1.38963    2.117793
                    |
fdr40_10#c.iAGRI_PF |
                 2  |   .0494561   .1116828     0.44   0.658     -.169557    .2684692
                 3  |   .0695115   .1168312     0.59   0.552    -.1595978    .2986208
                 4  |    .040183   .1228232     0.33   0.744    -.2006768    .2810428
                 5  |  -.1540482   .1288049    -1.20   0.232    -.4066384    .0985419
                 6  |  -.1668145   .1321845    -1.26   0.207     -.426032    .0924029
                 7  |  -.1502353   .1301558    -1.15   0.249    -.4054745    .1050038
                 8  |   .0614041   .1344517     0.46   0.648    -.2022595    .3250677
                 9  |   .1931907   .1471654     1.31   0.189    -.0954048    .4817861
                10  |  -.0561797   .1451968    -0.39   0.699    -.3409146    .2285553
                    |
         ww1_vol_sh |   .4350936   .1130057     3.85   0.000     .2134863    .6567009
ww1_awards_pop10_is |   .6009038    .254725     2.36   0.018     .1013807    1.100427
             lpop30 |  -.1533785   .0694886    -2.21   0.027    -.2896477   -.0171093
           c30unemp |   1.618497   .9214711     1.76   0.079    -.1885338    3.425528
          c30urban1 |   .1172026   .0418334     2.80   0.005     .0351662    .1992391
            c30farm |  -.5008968    .190566    -2.63   0.009    -.8746022   -.1271914
            iYf_T29 |   .0585099   .0530573     1.10   0.270     -.045537    .1625569
           MEAN9628 |   .0005147   .0027128     0.19   0.850    -.0048051    .0058345
             c30men |  -6.368883   1.546164    -4.12   0.000    -9.400954   -3.336813
           c30black |  -1.152542   .1498281    -7.69   0.000     -1.44636   -.8587253
             c30jap |   11.67649   6.808543     1.71   0.086    -1.675255    25.02823
             c30deu |   .0585312   .6116761     0.10   0.924    -1.140983    1.258045
             c30ita |  -.5613191       1.12    -0.50   0.616    -2.757671    1.635033
             c30vet |   3.515731   .7990912     4.40   0.000      1.94869    5.082771
           lc40wage |    1.02627   .1225652     8.37   0.000     .7859159    1.266623
      iwarconpro_PC |    .243277   .0313024     7.77   0.000     .1818922    .3046619
      _Istateicps_2 |  -.1097931   .2292303    -0.48   0.632    -.5593201     .339734
      _Istateicps_3 |  -.0510688   .2240306    -0.23   0.820    -.4903992    .3882616
      _Istateicps_4 |   .3313018   .2945051     1.12   0.261     -.246231    .9088346
      _Istateicps_5 |  -.0678788     .48071    -0.14   0.888    -1.010565    .8748071
      _Istateicps_6 |   .5002167   .2832018     1.77   0.077    -.0551501    1.055584
     _Istateicps_11 |   -.185059   .2149233    -0.86   0.389    -.6065298    .2364118
     _Istateicps_12 |  -.3480271   .1885966    -1.85   0.065    -.7178704    .0218161
     _Istateicps_13 |   .1384904   .1792318     0.77   0.440    -.2129883    .4899692
     _Istateicps_14 |  -.3229763   .1898358    -1.70   0.089    -.6952498    .0492971
     _Istateicps_21 |  -.0782632   .2302831    -0.34   0.734     -.529855    .3733285
     _Istateicps_22 |  -.4009353   .2179027    -1.84   0.066    -.8282487     .026378
     _Istateicps_23 |   -.195258   .2566715    -0.76   0.447    -.6985981    .3080821
     _Istateicps_24 |  -.2523419    .215332    -1.17   0.241    -.6746139    .1699302
     _Istateicps_25 |   .0217669   .2811137     0.08   0.938    -.5295049    .5730388
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2900815    .214818    -1.35   0.177    -.7113456    .1311826
     _Istateicps_41 |   .0821201   .2072171     0.40   0.692    -.3242385    .4884787
     _Istateicps_42 |  -.8433467   .2142436    -3.94   0.000    -1.263484   -.4232089
     _Istateicps_43 |   .4765244   .2561964     1.86   0.063     -.025884    .9789329
     _Istateicps_44 |  -.0367037    .216176    -0.17   0.865     -.460631    .3872236
     _Istateicps_45 |  -.6488734    .212452    -3.05   0.002    -1.065498    -.232249
     _Istateicps_46 |   .2830382   .2181218     1.30   0.195    -.1447049    .7107812
     _Istateicps_47 |  -.2553691   .2071746    -1.23   0.218    -.6616444    .1509062
     _Istateicps_48 |  -.2509689   .2206243    -1.14   0.255    -.6836193    .1816816
     _Istateicps_49 |   .9530593   .2142297     4.45   0.000     .5329487     1.37317
     _Istateicps_51 |  -.1626726   .2043064    -0.80   0.426    -.5633234    .2379781
     _Istateicps_52 |  -.6244186   .2530036    -2.47   0.014    -1.120566   -.1282713
     _Istateicps_53 |    .379212   .2059316     1.84   0.066    -.0246257    .7830497
     _Istateicps_54 |  -.2597634   .2059507    -1.26   0.207    -.6636386    .1441118
     _Istateicps_56 |   .0516596   .2155922     0.24   0.811    -.3711228    .4744421
     _Istateicps_61 |  -.5982787   .2822894    -2.12   0.034    -1.151856   -.0447011
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1579199   .2698442     0.59   0.558    -.3712523    .6870921
     _Istateicps_64 |   1.439939   .2759519     5.22   0.000       .89879    1.981089
     _Istateicps_65 |  -.0873671   .4048271    -0.22   0.829    -.8812445    .7065103
     _Istateicps_66 |   .0697892   .2696387     0.26   0.796      -.45898    .5985584
     _Istateicps_67 |    -.27317   .2714858    -1.01   0.314    -.8055613    .2592212
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4994841   .3124922     1.60   0.110     -.113322     1.11229
     _Istateicps_72 |   .2273758   .2604917     0.87   0.383    -.2834558    .7382074
     _Istateicps_73 |   .5949356   .2848091     2.09   0.037     .0364168    1.153454
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.142522   1.155486    -3.59   0.000    -6.408464   -1.876581
-------------------------------------------------------------------------------------

. margins , dydx(iAGRI_PF) at(fdr40_10=(1(1)10)) post

Average marginal effects                        Number of obs     =      2,304
Model VCE    : Robust

Expression   : Linear prediction, predict()
dy/dx w.r.t. : iAGRI_PF

1._at        : fdr40_10        =           1

2._at        : fdr40_10        =           2

3._at        : fdr40_10        =           3

4._at        : fdr40_10        =           4

5._at        : fdr40_10        =           5

6._at        : fdr40_10        =           6

7._at        : fdr40_10        =           7

8._at        : fdr40_10        =           8

9._at        : fdr40_10        =           9

10._at       : fdr40_10        =          10

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
iAGRI_PF     |
         _at |
          1  |   .2558369   .1092962     2.34   0.019      .041504    .4701697
          2  |    .305293   .0474171     6.44   0.000     .2123068    .3982792
          3  |   .3253484   .0629244     5.17   0.000     .2019518     .448745
          4  |   .2960199   .0630861     4.69   0.000     .1723064    .4197335
          5  |   .1017887   .0580618     1.75   0.080    -.0120722    .2156495
          6  |   .0890223   .0588343     1.51   0.130    -.0263534    .2043981
          7  |   .1056016   .0651741     1.62   0.105    -.0222066    .2334097
          8  |    .317241   .0704846     4.50   0.000     .1790187    .4554633
          9  |   .4490275   .0994976     4.51   0.000       .25391    .6441451
         10  |   .1996572   .0985736     2.03   0.043     .0063517    .3929628
------------------------------------------------------------------------------

. marginsplot , yline(0, lcolor(red)) graphregion(color(white)) title(" ") xtitle(Decile of 1940 Roosevelt support, size(large)) ytitle({&beta}:
>  Agri support on patriotism (PCA)) ylab( , angle(0) format(%2.1f)) title("B. Agricultural support", size(huge))

  Variables that uniquely identify margins: fdr40_10

. graph export "results/figures/AppFig4B-margins-aaa-fdr40.pdf", replace as(pdf)
(file results/figures/AppFig4B-margins-aaa-fdr40.pdf written in PDF format)

. 
. ***************************************************************************************************
. ****         Fig 5. Distribution of droughts                                                       ****
. ***************************************************************************************************
. format iSUM3MO_DROUGHT9732 iSUM3MO_DROUGHT3340 %2.1f    

. spmap  iSUM3MO_DROUGHT3340 using data/C-CountiesND_CA, id(_ID_CA) fcolor(Greys2) clnumber(9) ndocolor(none) ocolor(none ..)  ///
>                legend( position(5) bplacement(sw) r(5))                                                                         ///
>                         line(data(data/C-USA_CA)) title(A. New Deal Droughts, size(*1.4))

. graph export "results/figures/AppFig5A-map-droughts-ND.png", as(png) replace
(file results/figures/AppFig5A-map-droughts-ND.png written in PNG format)

. 
. spmap  iSUM3MO_DROUGHT9732 using data/C-CountiesND_CA, id(_ID_CA) fcolor(Greys2) clnumber(9) ndocolor(none) ocolor(none ..)  ///
>                legend( position(5) bplacement(sw) r(5))                                                                         ///
>                         line(data(data/C-USA_CA)) title(B. Pre-New Deal Droughts, size(*1.4))

. graph export "results/figures/AppFig5B-map-droughts-preND.png", as(png) replace
(file results/figures/AppFig5B-map-droughts-preND.png written in PNG format)

. 
. 
. ***************************************************************************************************
. ****         Fig 6. Heterogeneity: frontier experience                                             ****
. ***************************************************************************************************
. estimates clear 

. local n 0

. local dependents iwarbond_1944_PC ww2_vol_pop40 ww2_awards_pop40_is pc1

. 
. xtile frontier1 = tye_tfe890_500k_100_l6, n(2), if sample_ols == 1

. xtile frontier2 = tye_tfe890_500k_100_l6, n(2), if sample_ols == 1 & servicecommand   !=   7

. 
. recode frontier1 frontier2 (1 = 0) (2 = 1)
(frontier1: 3020 changes made)
(frontier2: 2329 changes made)

. 
. 
. 
. foreach dependent of local dependents {
  2.         if "`dependent'" == "iwarbond_1944_PC"    local splits = "frontier1==1 median_below1==0"
  3.         if "`dependent'" == "ww2_vol_pop40"       local splits = "frontier2==1 frontier2==0"
  4.         if "`dependent'" == "ww2_awards_pop40_is" local splits = "frontier2==1 frontier2==0"
  5.         if "`dependent'" == "pc1"                         local splits = "frontier2==1 frontier2==0"
  6.         if "`dependent'" == "iwarbond_1944_PC"    local cond
  7.         if "`dependent'" == "ww2_vol_pop40"       local cond              "& servicecommand != 7"
  8.         if "`dependent'" == "ww2_awards_pop40_is" local cond              "& servicecommand != 7"
  9.         if "`dependent'" == "pc1"                                 local cond              "& servicecommand != 7"
 10. 
.         foreach sample of local splits {
 11.                 local n = `n' + 1
 12.                 xi: reg `dependent' iAGRI_PF $control if sample_ols == 1 `cond' & `sample', r
 13.                 local b`n' =  _b[iAGRI_PF]
 14.                 local s`n' = _se[iAGRI_PF]
 15.         } /* foreach sample */
 16. } /* foreach dependent */
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_2 omitted because of collinearity
note: _Istateicps_3 omitted because of collinearity
note: _Istateicps_4 omitted because of collinearity
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_11 omitted because of collinearity
note: _Istateicps_12 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,498
                                                F(52, 1443)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.7156
                                                Root MSE          =     .36266

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1563339   .0242362     6.45   0.000     .1087919     .203876
         ww1_vol_sh |  -.0302823   .0443506    -0.68   0.495    -.1172809    .0567163
ww1_awards_pop10_is |   .3019736   .1563347     1.93   0.054     -.004694    .6086412
             lpop30 |  -.0644466   .0252483    -2.55   0.011    -.1139738   -.0149194
           c30unemp |  -.1789881    .367101    -0.49   0.626    -.8990968    .5411205
          c30urban1 |   .0553983   .0251844     2.20   0.028     .0059964    .1048001
            c30farm |  -.4180708   .1217888    -3.43   0.001    -.6569728   -.1791688
            iYf_T29 |   .0592116   .0329582     1.80   0.073    -.0054395    .1238628
           MEAN9628 |   .0021294    .001341     1.59   0.113    -.0005011    .0047599
             c30men |  -4.375491   1.041852    -4.20   0.000    -6.419197   -2.331785
           c30black |  -.2785848   .1221772    -2.28   0.023    -.5182488   -.0389208
             c30jap |   9.100601   2.831775     3.21   0.001     3.545765    14.65544
             c30deu |   .9347372   .2157293     4.33   0.000     .5115605    1.357914
             c30ita |   1.465652   .5718235     2.56   0.010     .3439578    2.587346
             c30vet |      1.309   .5359138     2.44   0.015     .2577468    2.360254
           lc40wage |   .4891017   .0792329     6.17   0.000     .3336777    .6445258
      iwarconpro_PC |   .3229797   .0358334     9.01   0.000     .2526886    .3932708
      _Istateicps_2 |          0  (omitted)
      _Istateicps_3 |          0  (omitted)
      _Istateicps_4 |          0  (omitted)
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |          0  (omitted)
     _Istateicps_12 |          0  (omitted)
     _Istateicps_13 |    .275977   .1225866     2.25   0.025     .0355099    .5164441
     _Istateicps_14 |   .4392206   .1157472     3.79   0.000     .2121699    .6662714
     _Istateicps_21 |   .4221246   .0992305     4.25   0.000     .2274731    .6167761
     _Istateicps_22 |   .3532018   .0987791     3.58   0.000     .1594359    .5469677
     _Istateicps_23 |   .4067211    .121075     3.36   0.001     .1692191     .644223
     _Istateicps_24 |   .3157953   .1035946     3.05   0.002     .1125832    .5190074
     _Istateicps_25 |   .3300509   .1253832     2.63   0.009      .084098    .5760038
     _Istateicps_31 |   .8840546   .1085582     8.14   0.000     .6711058    1.097003
     _Istateicps_32 |   .5862846   .1058281     5.54   0.000     .3786911    .7938781
     _Istateicps_33 |   .7535528   .1161784     6.49   0.000     .5256561    .9814494
     _Istateicps_34 |   .3671919   .0890109     4.13   0.000     .1925872    .5417966
     _Istateicps_35 |   .7933566   .1096371     7.24   0.000     .5782914    1.008422
     _Istateicps_36 |   .6131003   .1136762     5.39   0.000      .390112    .8360886
     _Istateicps_37 |   .7504551   .1181717     6.35   0.000     .5186484    .9822618
     _Istateicps_40 |   .4180019   .1297103     3.22   0.001     .1635609    .6724429
     _Istateicps_41 |   .3401015   .0649096     5.24   0.000     .2127741    .4674288
     _Istateicps_42 |  -.0194459   .0886223    -0.22   0.826    -.1932883    .1543965
     _Istateicps_43 |   .3291551   .1242825     2.65   0.008     .0853614    .5729487
     _Istateicps_44 |   .1421073   .0679324     2.09   0.037     .0088505     .275364
     _Istateicps_45 |   .0397674    .073858     0.54   0.590    -.1051131     .184648
     _Istateicps_46 |   .2672471   .0577708     4.63   0.000     .1539232    .3805709
     _Istateicps_47 |   .4738915   .1719742     2.76   0.006     .1365453    .8112377
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |   .4307158     .08105     5.31   0.000     .2717273    .5897043
     _Istateicps_51 |   .0017059   .0954381     0.02   0.986    -.1855063    .1889182
     _Istateicps_52 |  -.0483292   .1073303    -0.45   0.653    -.2588693    .1622108
     _Istateicps_53 |   .3048122   .0940181     3.24   0.001     .1203855    .4892388
     _Istateicps_54 |   .2294042   .0851318     2.69   0.007     .0624089    .3963994
     _Istateicps_56 |   .2858587   .1081459     2.64   0.008     .0737188    .4979987
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |   .3169836   .1182954     2.68   0.007     .0849343     .549033
     _Istateicps_63 |   .4897019   .1564928     3.13   0.002     .1827241    .7966797
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |  -.0162883   .2644128    -0.06   0.951     -.534963    .5023863
     _Istateicps_66 |  -.0905345   .1448637    -0.62   0.532    -.3747004    .1936315
     _Istateicps_67 |   .1342416   .1303954     1.03   0.303    -.1215432    .3900264
     _Istateicps_68 |   .5765697   .1468111     3.93   0.000     .2885837    .8645557
     _Istateicps_71 |   .4117586   .1430666     2.88   0.004     .1311179    .6923994
     _Istateicps_72 |   .8442429    .136741     6.17   0.000     .5760105    1.112475
     _Istateicps_73 |   .5920769   .1650962     3.59   0.000     .2682226    .9159313
     _Istateicps_98 |          0  (omitted)
              _cons |   2.604038   .8010937     3.25   0.001     1.032605     4.17547
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_41 omitted because of collinearity
note: _Istateicps_47 omitted because of collinearity
note: _Istateicps_48 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,511
                                                F(59, 1449)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5164
                                                Root MSE          =     .38848

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1894913    .023687     8.00   0.000     .1430268    .2359557
         ww1_vol_sh |  -.0418202   .0449209    -0.93   0.352    -.1299371    .0462968
ww1_awards_pop10_is |   .2092902   .1059087     1.98   0.048     .0015394     .417041
             lpop30 |   .0410619   .0440755     0.93   0.352    -.0453967    .1275206
           c30unemp |  -.8033438   .4092417    -1.96   0.050    -1.606113   -.0005743
          c30urban1 |  -.0161608   .0394274    -0.41   0.682    -.0935017    .0611801
            c30farm |  -.3112337   .1769748    -1.76   0.079    -.6583879    .0359205
            iYf_T29 |   .0344526   .0278905     1.24   0.217    -.0202575    .0891627
           MEAN9628 |  -.0031913   .0015976    -2.00   0.046    -.0063251   -.0000574
             c30men |  -.4135264   1.062212    -0.39   0.697    -2.497165    1.670112
           c30black |  -.1620256   .2908615    -0.56   0.578    -.7325802     .408529
             c30jap |   7.218852   3.108391     2.32   0.020     1.121424    13.31628
             c30deu |   .5044724   .1918165     2.63   0.009     .1282047    .8807401
             c30ita |  -.2877918   .8277578    -0.35   0.728    -1.911523     1.33594
             c30vet |  -.8038902   1.615013    -0.50   0.619    -3.971903    2.364123
           lc40wage |   .3604211   .0878047     4.10   0.000     .1881832    .5326591
      iwarconpro_PC |   .2623136   .0344825     7.61   0.000     .1946727    .3299545
      _Istateicps_2 |  -.2608134   .1633603    -1.60   0.111    -.5812614    .0596346
      _Istateicps_3 |  -.2125744    .209802    -1.01   0.311    -.6241224    .1989737
      _Istateicps_4 |  -.2301901   .2114692    -1.09   0.277    -.6450086    .1846283
      _Istateicps_5 |  -.2098297   .5217182    -0.40   0.688    -1.233233     .813574
      _Istateicps_6 |  -.2843222   .1730105    -1.64   0.101    -.6236999    .0550556
     _Istateicps_11 |  -.0999441   .1543492    -0.65   0.517    -.4027158    .2028277
     _Istateicps_12 |  -.2518148   .2045064    -1.23   0.218    -.6529751    .1493454
     _Istateicps_13 |  -.1838817   .1501276    -1.22   0.221    -.4783724     .110609
     _Istateicps_14 |  -.2046923   .1595914    -1.28   0.200    -.5177472    .1083626
     _Istateicps_21 |  -.2293946   .1642535    -1.40   0.163    -.5515948    .0928055
     _Istateicps_22 |  -.2296937    .166798    -1.38   0.169    -.5568851    .0974978
     _Istateicps_23 |  -.3639886   .1650639    -2.21   0.028    -.6877784   -.0401988
     _Istateicps_24 |  -.3474272    .174153    -1.99   0.046    -.6890462   -.0058082
     _Istateicps_25 |  -.3132822   .1660113    -1.89   0.059    -.6389304     .012366
     _Istateicps_31 |   .1736853   .1716854     1.01   0.312    -.1630931    .5104638
     _Istateicps_32 |   .0517165   .1784887     0.29   0.772    -.2984074    .4018404
     _Istateicps_33 |  -.0619402   .1743138    -0.36   0.722    -.4038747    .2799942
     _Istateicps_34 |   -.287096   .1675696    -1.71   0.087     -.615801    .0416089
     _Istateicps_35 |   .1308077    .177245     0.74   0.461    -.2168765    .4784919
     _Istateicps_36 |   .0617109   .1902706     0.32   0.746    -.3115244    .4349463
     _Istateicps_37 |  -.0455708   .1760896    -0.26   0.796    -.3909886     .299847
     _Istateicps_40 |   -.268666   .1948459    -1.38   0.168    -.6508762    .1135443
     _Istateicps_41 |          0  (omitted)
     _Istateicps_42 |  -.2418378   .2225019    -1.09   0.277     -.678298    .1946225
     _Istateicps_43 |   .0028615   .2918174     0.01   0.992    -.5695682    .5752912
     _Istateicps_44 |   -.328224    .312977    -1.05   0.294    -.9421605    .2857125
     _Istateicps_45 |  -.2852813   .2656175    -1.07   0.283    -.8063172    .2357545
     _Istateicps_46 |   .2409427   .2892277     0.83   0.405    -.3264072    .8082925
     _Istateicps_47 |          0  (omitted)
     _Istateicps_48 |          0  (omitted)
     _Istateicps_49 |  -.0860422   .1937513    -0.44   0.657    -.4661053    .2940209
     _Istateicps_51 |  -.5258043   .2109441    -2.49   0.013    -.9395927   -.1120159
     _Istateicps_52 |  -.4682443    .233166    -2.01   0.045    -.9256233   -.0108653
     _Istateicps_53 |  -.1826975   .1865017    -0.98   0.327    -.5485398    .1831447
     _Istateicps_54 |  -.1994075   .1836142    -1.09   0.278    -.5595856    .1607706
     _Istateicps_56 |  -.4321421    .187102    -2.31   0.021    -.7991618   -.0651224
     _Istateicps_61 |  -.1611722    .206081    -0.78   0.434    -.5654212    .2430769
     _Istateicps_62 |  -.1198265   .1875132    -0.64   0.523    -.4876529    .2479999
     _Istateicps_63 |  -.0836472   .2123901    -0.39   0.694    -.5002721    .3329776
     _Istateicps_64 |   .2784631   .1906706     1.46   0.144    -.0955568     .652483
     _Istateicps_65 |    .030729   .2259629     0.14   0.892    -.4125205    .4739785
     _Istateicps_66 |  -.4190007   .2124991    -1.97   0.049    -.8358395   -.0021619
     _Istateicps_67 |  -.3267399   .1927012    -1.70   0.090     -.704743    .0512632
     _Istateicps_68 |   .0841907   .2323952     0.36   0.717    -.3716763    .5400577
     _Istateicps_71 |   -.180497   .1802965    -1.00   0.317     -.534167    .1731731
     _Istateicps_72 |   .3188682   .1928888     1.65   0.099     -.059503    .6972394
     _Istateicps_73 |   .0778865   .1976791     0.39   0.694    -.3098812    .4656543
     _Istateicps_98 |          0  (omitted)
              _cons |   1.394839   1.015285     1.37   0.170    -.5967466    3.386424
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_2 omitted because of collinearity
note: _Istateicps_3 omitted because of collinearity
note: _Istateicps_4 omitted because of collinearity
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_11 omitted because of collinearity
note: _Istateicps_12 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_52 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,141
                                                F(44, 1095)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5881
                                                Root MSE          =     .19431

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0129231   .0113724     1.14   0.256    -.0093912    .0352373
         ww1_vol_sh |   .0920753   .0346781     2.66   0.008     .0240322    .1601184
ww1_awards_pop10_is |   .2508313   .1111546     2.26   0.024     .0327313    .4689313
             lpop30 |  -.0142991   .0216298    -0.66   0.509    -.0567396    .0281415
           c30unemp |   .5587875   .2620328     2.13   0.033     .0446443    1.072931
          c30urban1 |   .0064017   .0169239     0.38   0.705    -.0268052    .0396086
            c30farm |  -.1757674   .0724818    -2.42   0.015    -.3179862   -.0335485
            iYf_T29 |  -.0021901   .0231662    -0.09   0.925    -.0476453    .0432651
           MEAN9628 |  -.0013797   .0007548    -1.83   0.068    -.0028608    .0001014
             c30men |  -1.522805   .7923377    -1.92   0.055    -3.077477     .031867
           c30black |  -.2653499   .0492286    -5.39   0.000     -.361943   -.1687568
             c30jap |   1.304185   1.720874     0.76   0.449    -2.072399    4.680769
             c30deu |  -.3064785   .2156284    -1.42   0.156    -.7295701    .1166132
             c30ita |  -.4606134   .4089284    -1.13   0.260    -1.262985    .3417583
             c30vet |   1.244607   .4827322     2.58   0.010     .2974221    2.191792
           lc40wage |   .2023113   .0467791     4.32   0.000     .1105245    .2940981
      iwarconpro_PC |  -.0410258   .0117678    -3.49   0.001    -.0641157   -.0179359
      _Istateicps_2 |          0  (omitted)
      _Istateicps_3 |          0  (omitted)
      _Istateicps_4 |          0  (omitted)
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |          0  (omitted)
     _Istateicps_12 |          0  (omitted)
     _Istateicps_13 |   .2532064   .0551261     4.59   0.000     .1450416    .3613712
     _Istateicps_14 |   .0279401   .0430408     0.65   0.516    -.0565117    .1123919
     _Istateicps_21 |   .2578567   .0407559     6.33   0.000     .1778882    .3378253
     _Istateicps_22 |   .1851451   .0388247     4.77   0.000     .1089659    .2613243
     _Istateicps_23 |   .1656178   .0485395     3.41   0.001     .0703767    .2608588
     _Istateicps_24 |   .1555964   .0377671     4.12   0.000     .0814923    .2297006
     _Istateicps_25 |   .4744601   .0649503     7.30   0.000     .3470191    .6019012
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .2289922    .062283     3.68   0.000     .1067846    .3511998
     _Istateicps_41 |   .3184772   .0460087     6.92   0.000      .228202    .4087524
     _Istateicps_42 |   .0552151   .0427415     1.29   0.197    -.0286494    .1390796
     _Istateicps_43 |   .4033806   .0564554     7.15   0.000     .2926076    .5141536
     _Istateicps_44 |   .4474692   .0448813     9.97   0.000     .3594062    .5355322
     _Istateicps_45 |   .1019826   .0488747     2.09   0.037      .006084    .1978812
     _Istateicps_46 |   .4170004   .0532381     7.83   0.000     .3125403    .5214606
     _Istateicps_47 |   .3715867   .0525661     7.07   0.000     .2684451    .4747283
     _Istateicps_48 |   .3924035   .0597332     6.57   0.000     .2751991    .5096079
     _Istateicps_49 |   .7563728   .0507438    14.91   0.000     .6568068    .8559389
     _Istateicps_51 |    .387133     .04343     8.91   0.000     .3019174    .4723485
     _Istateicps_52 |          0  (omitted)
     _Istateicps_53 |   .4708747   .0489823     9.61   0.000     .3747649    .5669844
     _Istateicps_54 |   .2245971   .0502788     4.47   0.000     .1259434    .3232508
     _Istateicps_56 |    .383535   .0409972     9.36   0.000      .303093    .4639769
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .2832013   .0939171     3.02   0.003     .0989235    .4674791
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |   .2197639   .1297736     1.69   0.091    -.0348692    .4743969
     _Istateicps_66 |   .3910622   .0791426     4.94   0.000     .2357738    .5463506
     _Istateicps_67 |   .0650569   .0692685     0.94   0.348     -.070857    .2009709
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3079363   .0899071     3.43   0.001     .1315266     .484346
     _Istateicps_72 |   .1024535   .0737286     1.39   0.165    -.0422118    .2471188
     _Istateicps_73 |   .1092585   .0747307     1.46   0.144     -.037373      .25589
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1424137   .5395872    -0.26   0.792    -1.201155    .9163281
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,188
                                                F(55, 1132)       =      49.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6805
                                                Root MSE          =     .21891

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0552896   .0095971     5.76   0.000     .0364595    .0741196
         ww1_vol_sh |   .1258378   .0384161     3.28   0.001     .0504629    .2012126
ww1_awards_pop10_is |   .0592275   .1182249     0.50   0.616    -.1727371     .291192
             lpop30 |  -.0086918   .0109012    -0.80   0.425    -.0300806     .012697
           c30unemp |   .5576307   .2806655     1.99   0.047     .0069477    1.108314
          c30urban1 |  -.0056374   .0198186    -0.28   0.776    -.0445227    .0332479
            c30farm |  -.0478764   .0799132    -0.60   0.549    -.2046711    .1089182
            iYf_T29 |  -.0296288   .0148575    -1.99   0.046    -.0587802   -.0004774
           MEAN9628 |   .0008842   .0007521     1.18   0.240    -.0005916    .0023599
             c30men |  -1.458247   .6234224    -2.34   0.020    -2.681441   -.2350543
           c30black |  -.6265352   .0596428   -10.50   0.000    -.7435581   -.5095123
             c30jap |   .6512601   1.407774     0.46   0.644    -2.110879      3.4134
             c30deu |  -.9250024    .219843    -4.21   0.000    -1.356348   -.4936569
             c30ita |  -.0327857   .2842575    -0.12   0.908    -.5905165    .5249451
             c30vet |   .8665743   .3686518     2.35   0.019     .1432567    1.589892
           lc40wage |   .1755129   .0446693     3.93   0.000      .087869    .2631568
      iwarconpro_PC |  -.0255877   .0109417    -2.34   0.020    -.0470561   -.0041194
      _Istateicps_2 |      .0258   .0629075     0.41   0.682    -.0976284    .1492285
      _Istateicps_3 |   .0550863   .0574086     0.96   0.337     -.057553    .1677256
      _Istateicps_4 |   .2645966    .081389     3.25   0.001     .1049064    .4242867
      _Istateicps_5 |   .0020183   .0547251     0.04   0.971    -.1053557    .1093924
      _Istateicps_6 |   .3347954   .0803015     4.17   0.000     .1772389    .4923519
     _Istateicps_11 |  -.1526807   .0668862    -2.28   0.023    -.2839155   -.0214459
     _Istateicps_12 |  -.0641205   .0535803    -1.20   0.232    -.1692483    .0410073
     _Istateicps_13 |   .0804413   .0540341     1.49   0.137    -.0255768    .1864595
     _Istateicps_14 |   -.166877   .0530805    -3.14   0.002    -.2710242   -.0627298
     _Istateicps_21 |   .0821973   .0621984     1.32   0.187    -.0398399    .2042344
     _Istateicps_22 |  -.0002192   .0767256    -0.00   0.998    -.1507595    .1503212
     _Istateicps_23 |   .0236658   .0660786     0.36   0.720    -.1059844     .153316
     _Istateicps_24 |  -.0326346   .0848263    -0.38   0.701    -.1990692    .1337999
     _Istateicps_25 |   .1663111   .0728253     2.28   0.023     .0234234    .3091988
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1421821   .0608389    -2.34   0.020    -.2615518   -.0228124
     _Istateicps_41 |   .1790008    .077634     2.31   0.021      .026678    .3313236
     _Istateicps_42 |  -.2389747   .0667289    -3.58   0.000    -.3699008   -.1080485
     _Istateicps_43 |    .286939   .0717495     4.00   0.000      .146162    .4277159
     _Istateicps_44 |   .1177663   .0681219     1.73   0.084     -.015893    .2514257
     _Istateicps_45 |  -.2524362   .0638394    -3.95   0.000    -.3776931   -.1271792
     _Istateicps_46 |    .082793   .0811602     1.02   0.308    -.0764483    .2420343
     _Istateicps_47 |   -.029647   .0602117    -0.49   0.623     -.147786    .0884921
     _Istateicps_48 |   .0621262   .0701235     0.89   0.376    -.0754605    .1997128
     _Istateicps_49 |   .5409798    .066096     8.18   0.000     .4112954    .6706642
     _Istateicps_51 |  -.0436975   .0604185    -0.72   0.470    -.1622424    .0748474
     _Istateicps_52 |  -.2665321   .0612577    -4.35   0.000    -.3867234   -.1463408
     _Istateicps_53 |   .0976076   .0646359     1.51   0.131    -.0292121    .2244273
     _Istateicps_54 |  -.0140296   .0639687    -0.22   0.826    -.1395401    .1114809
     _Istateicps_56 |  -.0113557   .1054642    -0.11   0.914     -.218283    .1955716
     _Istateicps_61 |   -.466428   .0678989    -6.87   0.000    -.5996497   -.3332062
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0548355   .0678162    -0.81   0.419    -.1878951    .0782241
     _Istateicps_64 |   .1866138   .0685015     2.72   0.007     .0522097    .3210179
     _Istateicps_65 |  -.1896056   .1043135    -1.82   0.069    -.3942752    .0150639
     _Istateicps_66 |   .0910977   .0816329     1.12   0.265     -.069071    .2512664
     _Istateicps_67 |   -.167774   .0745134    -2.25   0.025     -.313974   -.0215741
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0188766   .0659746     0.29   0.775    -.1105696    .1483228
     _Istateicps_72 |  -.1352936   .0719695    -1.88   0.060    -.2765022    .0059149
     _Istateicps_73 |   .1210813   .0668898     1.81   0.071    -.0101606    .2523233
     _Istateicps_98 |          0  (omitted)
              _cons |  -.0513759    .426494    -0.12   0.904    -.8881834    .7854316
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_2 omitted because of collinearity
note: _Istateicps_3 omitted because of collinearity
note: _Istateicps_4 omitted because of collinearity
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_11 omitted because of collinearity
note: _Istateicps_12 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_52 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,141
                                                F(44, 1095)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1868
                                                Root MSE          =     .11389

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0118667   .0052046     2.28   0.023     .0016546    .0220788
         ww1_vol_sh |   .0775253   .0311274     2.49   0.013     .0164492    .1386014
ww1_awards_pop10_is |   .1224635   .0618357     1.98   0.048     .0011337    .2437934
             lpop30 |  -.0243785   .0304799    -0.80   0.424     -.084184     .035427
           c30unemp |   .3231781   .2914086     1.11   0.268    -.2486042    .8949604
          c30urban1 |   .0033976   .0082907     0.41   0.682    -.0128699     .019665
            c30farm |   .0565397   .0358871     1.58   0.115    -.0138756     .126955
            iYf_T29 |   .0232145   .0239386     0.97   0.332    -.0237563    .0701853
           MEAN9628 |  -.0003258   .0005543    -0.59   0.557    -.0014135    .0007619
             c30men |  -.5080893   .3204081    -1.59   0.113    -1.136773     .120594
           c30black |  -.0420296   .0315979    -1.33   0.184    -.1040288    .0199697
             c30jap |  -.0512362   2.075925    -0.02   0.980    -4.124477    4.022005
             c30deu |   .1925025   .2099611     0.92   0.359    -.2194692    .6044741
             c30ita |   .1002131   .3072074     0.33   0.744    -.5025687    .7029948
             c30vet |   .1851824   .1424382     1.30   0.194    -.0943002     .464665
           lc40wage |   .0686535   .0299944     2.29   0.022     .0098005    .1275065
      iwarconpro_PC |   .0049938    .006754     0.74   0.460    -.0082585    .0182461
      _Istateicps_2 |          0  (omitted)
      _Istateicps_3 |          0  (omitted)
      _Istateicps_4 |          0  (omitted)
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |          0  (omitted)
     _Istateicps_12 |          0  (omitted)
     _Istateicps_13 |  -.0418523   .0247365    -1.69   0.091    -.0903887    .0066841
     _Istateicps_14 |  -.0244885   .0194141    -1.26   0.207    -.0625817    .0136046
     _Istateicps_21 |  -.0290215   .0275684    -1.05   0.293    -.0831144    .0250715
     _Istateicps_22 |  -.0518834   .0272157    -1.91   0.057    -.1052842    .0015174
     _Istateicps_23 |  -.0531255   .0468475    -1.13   0.257    -.1450465    .0387955
     _Istateicps_24 |  -.0132774   .0245257    -0.54   0.588       -.0614    .0348453
     _Istateicps_25 |  -.0825232   .0571229    -1.44   0.149    -.1946059    .0295595
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0229121   .0154792    -1.48   0.139    -.0532845    .0074602
     _Istateicps_41 |  -.0014634   .0246584    -0.06   0.953    -.0498465    .0469197
     _Istateicps_42 |  -.0205727   .0157367    -1.31   0.191    -.0514501    .0103048
     _Istateicps_43 |   .0634278   .0280299     2.26   0.024     .0084293    .1184262
     _Istateicps_44 |  -.0003685   .0158196    -0.02   0.981    -.0314086    .0306717
     _Istateicps_45 |  -.0018256   .0215762    -0.08   0.933    -.0441608    .0405097
     _Istateicps_46 |   .0362288   .0241843     1.50   0.134     -.011224    .0836816
     _Istateicps_47 |   .0039763   .0236395     0.17   0.866    -.0424076    .0503602
     _Istateicps_48 |  -.0253004    .041238    -0.61   0.540    -.1062148    .0556141
     _Istateicps_49 |   .0132374   .0177288     0.75   0.455    -.0215488    .0480237
     _Istateicps_51 |   .0035064   .0129407     0.27   0.786     -.021885    .0288979
     _Istateicps_52 |          0  (omitted)
     _Istateicps_53 |   .0231026     .01898     1.22   0.224    -.0141386    .0603438
     _Istateicps_54 |   .0080083   .0161451     0.50   0.620    -.0236706    .0396872
     _Istateicps_56 |   .0141761   .0152854     0.93   0.354    -.0158159    .0441681
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0274129   .0563496     0.49   0.627    -.0831525    .1379783
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |  -.0620513   .1085068    -0.57   0.568    -.2749561    .1508535
     _Istateicps_66 |   .0657688   .0351141     1.87   0.061    -.0031298    .1346673
     _Istateicps_67 |   .0599109   .0571869     1.05   0.295    -.0522974    .1721191
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .1269743   .0851007     1.49   0.136    -.0400045     .293953
     _Istateicps_72 |   .0376413   .0456771     0.82   0.410    -.0519832    .1272657
     _Istateicps_73 |  -.0485776   .0511739    -0.95   0.343    -.1489875    .0518323
     _Istateicps_98 |          0  (omitted)
              _cons |  -.0378353   .2754077    -0.14   0.891    -.5782218    .5025511
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,188
                                                F(55, 1132)       =       8.09
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2125
                                                Root MSE          =     .11827

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0142185   .0059605     2.39   0.017     .0025237    .0259133
         ww1_vol_sh |   .0330264     .01878     1.76   0.079    -.0038211    .0698739
ww1_awards_pop10_is |    .000986   .0406753     0.02   0.981    -.0788215    .0807935
             lpop30 |  -.0156074   .0070457    -2.22   0.027    -.0294315   -.0017832
           c30unemp |  -.0396993   .0978691    -0.41   0.685    -.2317246     .152326
          c30urban1 |   .0106419   .0099973     1.06   0.287    -.0089735    .0302573
            c30farm |    .012618   .0383498     0.33   0.742    -.0626265    .0878626
            iYf_T29 |   .0143709   .0079993     1.80   0.073    -.0013241     .030066
           MEAN9628 |   .0000541   .0003742     0.14   0.885    -.0006801    .0007883
             c30men |  -.6588973   .3752884    -1.76   0.079    -1.395236    .0774417
           c30black |   -.055276   .0260793    -2.12   0.034    -.1064452   -.0041067
             c30jap |   1.778903    .851251     2.09   0.037     .1086963     3.44911
             c30deu |    -.05015   .1123131    -0.45   0.655    -.2705153    .1702152
             c30ita |  -.0003992   .1738502    -0.00   0.998     -.341504    .3407056
             c30vet |   .3346899   .1682733     1.99   0.047     .0045273    .6648524
           lc40wage |   .0506129   .0250121     2.02   0.043     .0015377    .0996881
      iwarconpro_PC |   .0063267    .006238     1.01   0.311    -.0059126    .0185659
      _Istateicps_2 |  -.0123144   .0332852    -0.37   0.711     -.077622    .0529932
      _Istateicps_3 |  -.0038124   .0250743    -0.15   0.879    -.0530098     .045385
      _Istateicps_4 |  -.0162004   .0381168    -0.43   0.671     -.090988    .0585871
      _Istateicps_5 |   .0625156   .0530865     1.18   0.239    -.0416434    .1666745
      _Istateicps_6 |  -.0092333   .0353071    -0.26   0.794    -.0785081    .0600414
     _Istateicps_11 |  -.0440857   .0281829    -1.56   0.118    -.0993822    .0112108
     _Istateicps_12 |  -.0357624   .0232284    -1.54   0.124    -.0813379    .0098131
     _Istateicps_13 |   .0130919   .0227804     0.57   0.566    -.0316046    .0577884
     _Istateicps_14 |  -.0202097   .0256302    -0.79   0.431    -.0704977    .0300784
     _Istateicps_21 |  -.0381699   .0275382    -1.39   0.166    -.0922016    .0158618
     _Istateicps_22 |   -.035328   .0360873    -0.98   0.328    -.1061335    .0354775
     _Istateicps_23 |  -.0155496   .0282111    -0.55   0.582    -.0709014    .0398023
     _Istateicps_24 |  -.0137785   .0348031    -0.40   0.692    -.0820643    .0545073
     _Istateicps_25 |  -.0554199   .0342686    -1.62   0.106    -.1226569    .0118172
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0176197   .0315402    -0.56   0.577    -.0795035    .0442641
     _Istateicps_41 |  -.0237354   .0338083    -0.70   0.483    -.0900694    .0425987
     _Istateicps_42 |  -.0228024   .0325231    -0.70   0.483    -.0866147    .0410099
     _Istateicps_43 |  -.0071921   .0402277    -0.18   0.858    -.0861214    .0717372
     _Istateicps_44 |  -.0547131    .032172    -1.70   0.089    -.1178365    .0084103
     _Istateicps_45 |  -.0158917   .0360629    -0.44   0.660    -.0866493    .0548659
     _Istateicps_46 |  -.0212814   .0445667    -0.48   0.633     -.108724    .0661611
     _Istateicps_47 |  -.0499834   .0283317    -1.76   0.078    -.1055719     .005605
     _Istateicps_48 |  -.0336825   .0333541    -1.01   0.313    -.0991253    .0317603
     _Istateicps_49 |   .0153082   .0304596     0.50   0.615    -.0444553    .0750718
     _Istateicps_51 |  -.0409035   .0300394    -1.36   0.174    -.0998427    .0180357
     _Istateicps_52 |  -.0281232   .0374524    -0.75   0.453    -.1016071    .0453608
     _Istateicps_53 |  -.0196232   .0327868    -0.60   0.550     -.083953    .0447066
     _Istateicps_54 |  -.0443113   .0299198    -1.48   0.139    -.1030158    .0143931
     _Istateicps_56 |  -.0302386   .0387328    -0.78   0.435    -.1062348    .0457575
     _Istateicps_61 |   .0339354   .0449101     0.76   0.450    -.0541811    .1220518
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0217179    .044109     0.49   0.623    -.0648267    .1082626
     _Istateicps_64 |   .1373704   .0491883     2.79   0.005     .0408599    .2338809
     _Istateicps_65 |    .071885   .0791886     0.91   0.364     -.083488    .2272581
     _Istateicps_66 |  -.0310782   .0398248    -0.78   0.435    -.1092169    .0470606
     _Istateicps_67 |  -.0355111   .0425088    -0.84   0.404    -.1189161    .0478938
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .013125   .0388712     0.34   0.736    -.0631427    .0893928
     _Istateicps_72 |  -.0247313    .042882    -0.58   0.564    -.1088685    .0594058
     _Istateicps_73 |    .052766   .0384475     1.37   0.170    -.0226703    .1282023
     _Istateicps_98 |          0  (omitted)
              _cons |   .1331912   .2629436     0.51   0.613    -.3827203    .6491028
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_2 omitted because of collinearity
note: _Istateicps_3 omitted because of collinearity
note: _Istateicps_4 omitted because of collinearity
note: _Istateicps_5 omitted because of collinearity
note: _Istateicps_6 omitted because of collinearity
note: _Istateicps_11 omitted because of collinearity
note: _Istateicps_12 omitted because of collinearity
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_52 omitted because of collinearity
note: _Istateicps_61 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_64 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,141
                                                F(44, 1095)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6218
                                                Root MSE          =     .72473

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1605284   .0352608     4.55   0.000     .0913419    .2297148
         ww1_vol_sh |   .5355775   .1682672     3.18   0.001     .2054149    .8657401
ww1_awards_pop10_is |   1.042819   .3702243     2.82   0.005     .3163896    1.769248
             lpop30 |  -.1836054   .1559817    -1.18   0.239    -.4896622    .1224514
           c30unemp |   2.413977   1.555627     1.55   0.121    -.6383693    5.466323
          c30urban1 |   .1143408   .0566972     2.02   0.044     .0030934    .2255882
            c30farm |  -.4812741   .2683001    -1.79   0.073    -1.007715    .0451664
            iYf_T29 |    .166271   .1317787     1.26   0.207    -.0922962    .4248383
           MEAN9628 |  -.0004635   .0032048    -0.14   0.885    -.0067517    .0058247
             c30men |  -7.988812   1.976072    -4.04   0.000    -11.86613   -4.111497
           c30black |  -.8929485   .2128794    -4.19   0.000    -1.310646   -.4752509
             c30jap |   11.70542   10.49896     1.11   0.265    -8.894941    32.30578
             c30deu |   1.302001   1.145489     1.14   0.256    -.9456008    3.549603
             c30ita |   .7409613   1.848854     0.40   0.689    -2.886735    4.368657
             c30vet |   3.634602   1.020268     3.56   0.000       1.6327    5.636504
           lc40wage |   1.055429   .1954366     5.40   0.000     .6719568    1.438902
      iwarconpro_PC |   .2577677   .0471549     5.47   0.000     .1652436    .3502918
      _Istateicps_2 |          0  (omitted)
      _Istateicps_3 |          0  (omitted)
      _Istateicps_4 |          0  (omitted)
      _Istateicps_5 |          0  (omitted)
      _Istateicps_6 |          0  (omitted)
     _Istateicps_11 |          0  (omitted)
     _Istateicps_12 |          0  (omitted)
     _Istateicps_13 |   .5004619   .1762835     2.84   0.005     .1545703    .8463535
     _Istateicps_14 |   .3194436    .161971     1.97   0.049      .001635    .6372523
     _Istateicps_21 |   .7817952   .1823617     4.29   0.000     .4239773    1.139613
     _Istateicps_22 |   .4794552   .1813587     2.64   0.008     .1236054     .835305
     _Istateicps_23 |   .4987655   .2620639     1.90   0.057    -.0154386     1.01297
     _Istateicps_24 |   .5062529   .1702076     2.97   0.003     .1722829    .8402229
     _Istateicps_25 |    .800894   .3214552     2.49   0.013     .1701562    1.431632
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .7024692   .1912526     3.67   0.000     .3272062    1.077732
     _Istateicps_41 |   .8971574   .1789157     5.01   0.000      .546101    1.248214
     _Istateicps_42 |   .0522918   .1596513     0.33   0.743    -.2609652    .3655488
     _Istateicps_43 |   1.241574   .2262853     5.49   0.000     .7975722    1.685576
     _Istateicps_44 |   .9514928   .1540755     6.18   0.000     .6491763    1.253809
     _Istateicps_45 |   .2523433   .1773649     1.42   0.155    -.0956701    .6003567
     _Istateicps_46 |   1.124479   .1904907     5.90   0.000     .7507113    1.498247
     _Istateicps_47 |   1.114997   .2279801     4.89   0.000     .6676696    1.562324
     _Istateicps_48 |   .6704003   .2597138     2.58   0.010     .1608073    1.179993
     _Istateicps_49 |   1.809976   .1722553    10.51   0.000     1.471988    2.147964
     _Istateicps_51 |   .7371033    .147245     5.01   0.000     .4481891    1.026018
     _Istateicps_52 |          0  (omitted)
     _Istateicps_53 |   1.267954   .1579837     8.03   0.000     .9579693    1.577939
     _Istateicps_54 |    .697812   .1544504     4.52   0.000     .3947598    1.000864
     _Istateicps_56 |   .9620586   .1395442     6.89   0.000     .6882543    1.235863
     _Istateicps_61 |          0  (omitted)
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   1.199678   .2790653     4.30   0.000     .6521149    1.747241
     _Istateicps_64 |          0  (omitted)
     _Istateicps_65 |   .1875033   .6846482     0.27   0.784    -1.155867    1.530874
     _Istateicps_66 |   .9647223   .3188854     3.03   0.003     .3390268    1.590418
     _Istateicps_67 |   .5815671   .3614643     1.61   0.108    -.1276739    1.290808
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   1.504935   .4433406     3.39   0.001     .6350419    2.374828
     _Istateicps_72 |   1.108196   .2855582     3.88   0.000     .5478924    1.668499
     _Istateicps_73 |   .5540826   .3313293     1.67   0.095    -.0960296    1.204195
     _Istateicps_98 |          0  (omitted)
              _cons |  -3.928393   1.724351    -2.28   0.023      -7.3118   -.5449869
-------------------------------------------------------------------------------------
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      1,188
                                                F(55, 1132)       =      59.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6842
                                                Root MSE          =     .75598

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2911436   .0388372     7.50   0.000     .2149426    .3673445
         ww1_vol_sh |    .340484   .1244572     2.74   0.006     .0962913    .5846768
ww1_awards_pop10_is |    .303361   .3078939     0.99   0.325    -.3007458    .9074678
             lpop30 |  -.1188825   .0409505    -2.90   0.004      -.19923   -.0385351
           c30unemp |   .6658852   .7421741     0.90   0.370    -.7903063    2.122077
          c30urban1 |   .0889279   .0663594     1.34   0.180    -.0412734    .2191292
            c30farm |  -.4171132   .2462355    -1.69   0.091    -.9002426    .0660161
            iYf_T29 |     .06657   .0532014     1.25   0.211    -.0378144    .1709544
           MEAN9628 |   .0045404   .0023131     1.96   0.050     1.88e-06    .0090788
             c30men |  -6.236338   2.044491    -3.05   0.002    -10.24776    -2.22492
           c30black |  -1.444072   .1851773    -7.80   0.000    -1.807401   -1.080743
             c30jap |   10.41621   5.194332     2.01   0.045     .2246103    20.60781
             c30deu |  -.6814345    .730498    -0.93   0.351    -2.114717    .7518478
             c30ita |  -.6680546   1.263922    -0.53   0.597    -3.147947    1.811838
             c30vet |   4.087612   1.132075     3.61   0.000      1.86641    6.308814
           lc40wage |   .9263598   .1672747     5.54   0.000     .5981564    1.254563
      iwarconpro_PC |    .236374   .0437911     5.40   0.000     .1504532    .3222948
      _Istateicps_2 |  -.0493583   .2322364    -0.21   0.832    -.5050205    .4063039
      _Istateicps_3 |  -.0837468   .2249166    -0.37   0.710    -.5250472    .3575535
      _Istateicps_4 |   .3763737   .2920484     1.29   0.198    -.1966433    .9493908
      _Istateicps_5 |  -.0046559   .4695245    -0.01   0.992    -.9258919    .9165801
      _Istateicps_6 |    .564074   .2706846     2.08   0.037     .0329741    1.095174
     _Istateicps_11 |  -.1837039   .2084925    -0.88   0.378     -.592779    .2253713
     _Istateicps_12 |  -.3507926   .1895944    -1.85   0.065    -.7227884    .0212032
     _Istateicps_13 |   .2298912   .1865059     1.23   0.218    -.1360448    .5958273
     _Istateicps_14 |  -.3083244   .2027617    -1.52   0.129    -.7061554    .0895066
     _Istateicps_21 |  -.0717668    .215488    -0.33   0.739    -.4945675    .3510339
     _Istateicps_22 |  -.4367271   .2320609    -1.88   0.060    -.8920449    .0185908
     _Istateicps_23 |  -.0963373   .2286005    -0.42   0.674    -.5448656     .352191
     _Istateicps_24 |  -.3676894   .2772846    -1.33   0.185    -.9117389      .17636
     _Istateicps_25 |  -.0009754   .2509234    -0.00   0.997    -.4933026    .4913518
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.3229333   .2375873    -1.36   0.174    -.7890943    .1432277
     _Istateicps_41 |   .0722044   .2565035     0.28   0.778    -.4310713      .57548
     _Istateicps_42 |  -.8964732   .2566253    -3.49   0.000    -1.399988   -.3929584
     _Istateicps_43 |   .3341466   .2823216     1.18   0.237    -.2197858    .8880791
     _Istateicps_44 |  -.3375566   .2488658    -1.36   0.175    -.8258466    .1507335
     _Istateicps_45 |  -.7647764   .2690846    -2.84   0.005    -1.292737   -.2368157
     _Istateicps_46 |  -.0387986   .3812279    -0.10   0.919    -.7867913    .7091941
     _Istateicps_47 |  -.4607433   .2212493    -2.08   0.038    -.8948482   -.0266385
     _Istateicps_48 |  -.5025936   .2497672    -2.01   0.044    -.9926522   -.0125349
     _Istateicps_49 |   .9427416   .2359771     4.00   0.000     .4797399    1.405743
     _Istateicps_51 |  -.4316486   .2245129    -1.92   0.055    -.8721569    .0088596
     _Istateicps_52 |  -.6813086   .2750956    -2.48   0.013    -1.221063    -.141554
     _Istateicps_53 |   .1880871   .2344668     0.80   0.423    -.2719512    .6481254
     _Istateicps_54 |   -.422075   .2308304    -1.83   0.068    -.8749785    .0308285
     _Istateicps_56 |  -.3268574   .3348214    -0.98   0.329    -.9837977     .330083
     _Istateicps_61 |  -.6746811   .2991833    -2.26   0.024    -1.261697   -.0876649
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0417212   .2807005     0.15   0.882    -.5090306     .592473
     _Istateicps_64 |   1.313075   .2875598     4.57   0.000     .7488652    1.877285
     _Istateicps_65 |   .3290235   .4653596     0.71   0.480    -.5840408    1.242088
     _Istateicps_66 |  -.0186138   .3054844    -0.06   0.951    -.6179931    .5807654
     _Istateicps_67 |  -.4080847   .2666173    -1.53   0.126    -.9312043    .1150348
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .2110092   .2506733     0.84   0.400    -.2808274    .7028458
     _Istateicps_72 |   .0970247   .2805281     0.35   0.730    -.4533888    .6474382
     _Istateicps_73 |    .765922   .2909609     2.63   0.009     .1950387    1.336805
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.190238   1.611821    -2.60   0.009    -7.352731   -1.027744
-------------------------------------------------------------------------------------

. 
. preserve

.         clear

.         set obs 8
number of observations (_N) was 0, now 8

.         gen     x     = cond(mod(_n,2) == 1,_n,(_n-1)+0.4)  /* Odds are plotted at integer; evens are plotted at integer + 0.4 */

.         gen     split = cond(mod(_n,2) == 1, 0,         1)  /* Odds are below median; evens are above median */

.         gen b         = .
(8 missing values generated)

.         gen s         = .
(8 missing values generated)

.         forvalues n = 1(1)8 {
  2.                 replace b = `b`n'' if _n == `n'
  3.                 replace s = `s`n'' if _n == `n'
  4.         } /* forvalues n */
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         gen l = b - (1.96 * s)

.         gen u = b + (1.96 * s)

. 
.         format b* %2.1f

. 
.         gen t     = 0.4

.         gen title = cond(_n == 2,"{bf:War bonds}",cond(_n == 4,"{bf:Volunteers}",cond(_n == 6,"{bf:Medals}",cond(_n == 8,"{bf:PCA}",""))))
(4 missing values generated)

.         gen x_t  = cond(_n == 2,1.2,cond(_n == 4,3.2,cond(_n == 6,5.2,cond(_n == 8,7.2,x))))

.         
.         graph twoway (scatter b    x if split == 0,  mcolor(red   )                  msize(*1.5) msymbol(oh))                             ///
>                                  (scatter b    x if split == 1,  mlcolor(green) mfcolor(none)    msize(*1.5) msymbol(oh))                     
>     ///
>                                  (rcap    l u  x if split == 0,    color(red  )                  msize(large)    lwidth(   thick))            
>     ///
>                                  (rcap    l u  x if split == 1,    color(green)                  msize(medlarge) lwidth(medthick))            
>     ///
>                                  (scatter t    x_t, mlabel(title        ) mlabcolor(black) mlabp(0) m(i) mlabsize(*1.2))                      
>     ///
>                                 , legend(order(3 "High" 4 "Low") rows(1) title("{bf: Level of frontier experience:}",  size(medium))) ///
>                                 yline(0, lcolor(red)) xline(2.2, lcolor(black) lpattern(dash)) xline(4.2, lcolor(black) lpattern(dash))       
>     ///
>                                 xline(6.2, lcolor(black) lpattern(dash)) ylabel(0(0.1)0.4, angle(0) labsize(medium) format(%2.1f))            
>         ///
>                                 ytitle(OLS coefficient, size(normal)) xlabel(none) xtitle(" ") xscale(range(0.4 7.8)) graphregion(fcolor(white
> )) plotregion(fcolor(white)) scheme(s1manual)
(note:  named style normal not found in class gsize, default attributes used)

.                                                                            
.         graph export "results/figures/AppFig6-frontier.pdf", replace
(file results/figures/AppFig6-frontier.pdf written in PDF format)

. restore

. 
. ***************************************************************************************************
. ****         Fig 7. Plausibly Exogenous (Conley et al. 2012)                                       ****
. ***************************************************************************************************
. local level 0.9

. foreach instrument in iSUM3MO_DROUGHT3340 iAGRI_T73{
  2.         if "`instrument'" == "iAGRI_T73"           local instrument_title committee
  3.         if "`instrument'" == "iAGRI_T73"           local explanation      "Tenure in Agriculture committee (i.h.s.): 1933-35"
  4.         if "`instrument'" == "iAGRI_T73"           local cluster          DISTRICT_ID73
  5.         if "`instrument'" == "iAGRI_T73"           local ivs              "iSUM3MO_DROUGHT3340 iAGRI_T73"
  6.         if "`instrument'" == "iSUM3MO_DROUGHT3340" local instrument_title drought
  7.         if "`instrument'" == "iSUM3MO_DROUGHT3340" local explanation      "Summer droughts (i.h.s.): 1933-40"
  8.         if "`instrument'" == "iSUM3MO_DROUGHT3340" local cluster          CLIMDIVX
  9.         if "`instrument'" == "iSUM3MO_DROUGHT3340" local ivs              "iAGRI_T73 iSUM3MO_DROUGHT3340"
 10.         
.         foreach dependent in iwarbond_1944_PC ww2_vol_pop40  ww2_awards_pop40_is pc1 { 
 11.                 if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iSUM3MO_DROUGHT3340" local           title "A. War bonds"
 12.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iSUM3MO_DROUGHT3340" local           title "B. Volunteers"
 13.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iSUM3MO_DROUGHT3340" local           title "C. Medals"
 14.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iSUM3MO_DROUGHT3340" local           title "D. PCA"
 15.                 if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iAGRI_T73"           local           title "E. War bonds"
 16.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iAGRI_T73"           local           title "F. Volunteers"
 17.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iAGRI_T73"           local           title "G. Medals"
 18.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iAGRI_T73"           local           title "H. PCA"
 19.                 if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iSUM3MO_DROUGHT3340" local           lettr "A"
 20.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iSUM3MO_DROUGHT3340" local           lettr "B"
 21.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iSUM3MO_DROUGHT3340" local           lettr "C"
 22.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iSUM3MO_DROUGHT3340" local           lettr "D"
 23.                 if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iAGRI_T73"           local           lettr "E"
 24.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iAGRI_T73"           local           lettr "F"
 25.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iAGRI_T73"           local           lettr "G"
 26.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iAGRI_T73"           local           lettr "H"
 27. 
.                 if "`dependent'" == "iwarbond_1944_PC"    local dependent_title "warbonds"
 28.                 if "`dependent'" == "ww2_vol_pop40"       local dependent_title "volunteers"
 29.                 if "`dependent'" == "ww2_awards_pop40_is" local dependent_title "medals"
 30.                 if "`dependent'" == "pc1"                 local dependent_title "pca"
 31.                 
.                                                                                                     local           gn 0.25
 32.             if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iSUM3MO_DROUGHT3340" local           gx 1.4
 33.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iSUM3MO_DROUGHT3340" local           gx 1.3
 34.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iSUM3MO_DROUGHT3340" local           gx 1.2
 35.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iSUM3MO_DROUGHT3340" local           gx 1.3
 36.             if "`dependent'" == "iwarbond_1944_PC"    & "`instrument'" == "iAGRI_T73"           local           gx 1.7
 37.                 if "`dependent'" == "ww2_vol_pop40"       & "`instrument'" == "iAGRI_T73"           local           gx 1.3
 38.                 if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iAGRI_T73"           local           gx 1.5
 39.                 if "`dependent'" == "pc1"                 & "`instrument'" == "iAGRI_T73"           local           gx 1.7
 40. 
.                 if "`dependent'" == "iwarbond_1944_PC"    local if
 41.                 if "`dependent'" != "iwarbond_1944_PC"    local if "& servicecommand != 7"
 42.                 
.                 xi: reg `dependent' `ivs' $control if sample_ols == 1 `if'  
 43.                 local b  = _b[`instrument']
 44.                 local gn = -1 * `gn' * `b'
 45.                 local gx =      `gx' * `b'
 46.                 
.                 local rn = round(`gn',0.01)
 47.                 local rx = round(`gx',0.01)
 48.                 local st = round(`rx' / 4,0.01)
 49.                 
.                 ivreg2 `dependent' (iAGRI_PF = `ivs') $control if sample_ols == 1 `if', cluster(CLIMDIVX)
 50.                 local CI  = -invnormal((1 - `level')/2)
 51.                 local liv = _b[iAGRI_PF] - `CI'*_se[iAGRI_PF]
 52.                 local uiv = _b[iAGRI_PF] + `CI'*_se[iAGRI_PF]
 53. 
.                 plausexog uci `dependent' $control (iAGRI_PF = `ivs') if sample_ols == 1 `if', vce(cluster CLIMDIVX) gmin(0 `gn') gmax(0 `gx')
>  level(`level'*100) graph
 54.                 
.                 preserve
 55.                         clear
 56.                         set obs 3
 57.                         gen x   = cond(_n == 1,        `gn' , ///
>                                   cond(_n == 2,         0   , ///
>                                           cond(_n == 3,        `gx' ,.)))
 58.                         gen lci = cond(_n == 1,        `liv', ///
>                                   cond(_n == 2,        `liv', ///
>                                           cond(_n == 3,e(lb_iAGRI_PF),.)))
 59.                         gen uci = cond(_n == 1,e(ub_iAGRI_PF), ///
>                                   cond(_n == 2,        `uiv', ///
>                                           cond(_n == 3,        `uiv',.)))
 60.                                           
.                     if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iSUM3MO_DROUGHT3340" local           rx 0.015
 61.                     if "`dependent'" == "ww2_awards_pop40_is" & "`instrument'" == "iSUM3MO_DROUGHT3340" local           st 0.005
 62.                         twoway (line lci x, lpattern(dash) lcolor(black)) ///
>                                (line uci x, lpattern(dash) lcolor(black)), ytitle("Estimated {&beta} for agri support") xtitle({&delta}) xline
> (`b', lcolor(blue)) yline(0, lcolor(red)) ///
>                                                                                ylabel( , angle(0) format(%9.2f)) xlabel(`rn' 0(`st')`rx', form
> at(%9.3f))                                          ///
>                                                                                                                            legend(order(1 "Uni
> on of confidence intervals")) title(`title', size(huge)) note(Instrument is: `explanation'.)  graphregion(color(white) lwidth(large)) scheme(s
> 1color)
 63.                         graph export "results/figures/AppFig7`lettr'-conley2012-`dependent_title'-`instrument_title'.pdf" , replace as(pdf)
 64.                 restore
 65.         } /* foreach instrument */      
 66. } /* foreach dependent */       
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     84.89
       Model |  899.426995        65  13.8373384   Prob > F        =    0.0000
    Residual |  481.824923     2,956  .162998959   R-squared       =    0.6512
-------------+----------------------------------   Adj R-squared   =    0.6435
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .40373

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .1080405   .0183052     5.90   0.000     .0721483    .1439327
iSUM3MO_DROUGHT3340 |   .1044649    .015199     6.87   0.000     .0746633    .1342666
         ww1_vol_sh |   .0020974   .0355045     0.06   0.953    -.0675186    .0717134
ww1_awards_pop10_is |   .2162091   .0853913     2.53   0.011     .0487767    .3836415
             lpop30 |  -.0420301   .0142195    -2.96   0.003    -.0699112   -.0141489
           c30unemp |  -.6593736   .2501658    -2.64   0.008     -1.14989   -.1688568
          c30urban1 |   .0556669   .0215222     2.59   0.010     .0134669     .097867
            c30farm |   -.531156   .0746226    -7.12   0.000    -.6774735   -.3848385
            iYf_T29 |   .1034498    .016906     6.12   0.000     .0703011    .1365984
           MEAN9628 |   .0027323   .0008498     3.22   0.001      .001066    .0043986
             c30men |  -1.473362   .6108732    -2.41   0.016    -2.671142   -.2755821
           c30black |  -.2978921   .0733964    -4.06   0.000    -.4418053   -.1539789
             c30jap |   4.449762   2.375894     1.87   0.061    -.2088117    9.108336
             c30deu |   .7477781   .2027225     3.69   0.000     .3502865     1.14527
             c30ita |  -.5103324    .482894    -1.06   0.291    -1.457175    .4365101
             c30vet |   .1354344     .29923     0.45   0.651    -.4512858    .7221545
           lc40wage |   .4517525   .0489154     9.24   0.000     .3558407    .5476643
      iwarconpro_PC |   .2753167   .0152656    18.04   0.000     .2453845    .3052489
      _Istateicps_2 |  -.2657758   .1825951    -1.46   0.146    -.6238021    .0922505
      _Istateicps_3 |  -.1851871   .1869699    -0.99   0.322    -.5517914    .1814172
      _Istateicps_4 |  -.2262059   .1983502    -1.14   0.254    -.6151244    .1627126
      _Istateicps_5 |  -.3372538   .2309796    -1.46   0.144    -.7901509    .1156433
      _Istateicps_6 |  -.1067521   .1858606    -0.57   0.566    -.4711815    .2576773
     _Istateicps_11 |   .2263732   .2770763     0.82   0.414    -.3169089    .7696552
     _Istateicps_12 |  -.1176232   .1689184    -0.70   0.486    -.4488329    .2135864
     _Istateicps_13 |  -.1958528     .15535    -1.26   0.208    -.5004579    .1087524
     _Istateicps_14 |  -.1252031   .1559943    -0.80   0.422    -.4310715    .1806654
     _Istateicps_21 |  -.0668244   .1606023    -0.42   0.677    -.3817281    .2480793
     _Istateicps_22 |  -.1841347    .162055    -1.14   0.256    -.5018868    .1336173
     _Istateicps_23 |  -.2458621   .1626391    -1.51   0.131    -.5647594    .0730352
     _Istateicps_24 |  -.2665829   .1603403    -1.66   0.096    -.5809729     .047807
     _Istateicps_25 |  -.1769377   .1657612    -1.07   0.286    -.5019567    .1480813
     _Istateicps_31 |   .3794777    .163839     2.32   0.021     .0582277    .7007278
     _Istateicps_32 |   .2237409   .1654127     1.35   0.176    -.1005947    .5480766
     _Istateicps_33 |   .1773892   .1662996     1.07   0.286    -.1486856    .5034641
     _Istateicps_34 |  -.2124591   .1612472    -1.32   0.188    -.5286272     .103709
     _Istateicps_35 |   .3549817   .1678649     2.11   0.035     .0258377    .6841257
     _Istateicps_36 |   .6300917   .1698654     3.71   0.000     .2970252    .9631582
     _Istateicps_37 |   .2850514   .1697002     1.68   0.093     -.047691    .6177939
     _Istateicps_40 |  -.0668447   .1592849    -0.42   0.675    -.3791653    .2454758
     _Istateicps_41 |  -.0528459   .1638413    -0.32   0.747    -.3741006    .2684087
     _Istateicps_42 |  -.6301379   .1640106    -3.84   0.000    -.9517245   -.3085513
     _Istateicps_43 |  -.1211772   .1632559    -0.74   0.458    -.4412839    .1989295
     _Istateicps_44 |  -.2319545   .1596857    -1.45   0.146     -.545061     .081152
     _Istateicps_45 |  -.3226247   .1630869    -1.98   0.048       -.6424   -.0028493
     _Istateicps_46 |  -.2446625   .1651741    -1.48   0.139    -.5685304    .0792054
     _Istateicps_47 |  -.1796429   .1592709    -1.13   0.259    -.4919361    .1326502
     _Istateicps_48 |  -.5425539   .1716695    -3.16   0.002    -.8791577     -.20595
     _Istateicps_49 |   .0153169   .1582089     0.10   0.923    -.2948938    .3255276
     _Istateicps_51 |  -.5095732   .1592381    -3.20   0.001     -.821802   -.1973444
     _Istateicps_52 |  -.1201319   .1749003    -0.69   0.492    -.4630706    .2228068
     _Istateicps_53 |  -.0999809   .1651416    -0.61   0.545    -.4237851    .2238232
     _Istateicps_54 |  -.3753542   .1595237    -2.35   0.019    -.6881429   -.0625654
     _Istateicps_56 |  -.3187274    .160862    -1.98   0.048    -.6341404   -.0033145
     _Istateicps_61 |  -.1338837   .1950358    -0.69   0.492    -.5163034     .248536
     _Istateicps_62 |  -.1844611   .1658344    -1.11   0.266    -.5096236    .1407014
     _Istateicps_63 |  -.0207271   .1711455    -0.12   0.904    -.3563035    .3148492
     _Istateicps_64 |   .4946629    .170834     2.90   0.004     .1596973    .8296285
     _Istateicps_65 |  -.0156162   .1867302    -0.08   0.933    -.3817504    .3505181
     _Istateicps_66 |  -.3300368   .1750395    -1.89   0.059    -.6732485    .0131748
     _Istateicps_67 |   -.259308   .1731244    -1.50   0.134    -.5987647    .0801486
     _Istateicps_68 |    .302222   .1829457     1.65   0.099    -.0564919    .6609358
     _Istateicps_71 |   .1238927   .1647549     0.75   0.452    -.1991533    .4469387
     _Istateicps_72 |   .3660657   .1724396     2.12   0.034     .0279518    .7041795
     _Istateicps_73 |   .3295381   .1685198     1.96   0.051    -.0008899     .659966
     _Istateicps_98 |          0  (omitted)
              _cons |   2.526721   .5107926     4.95   0.000     1.525175    3.528266
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
                    |
         stateicpsr |
                 2  |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
                 3  |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
                 4  |    .273926   .1205731     2.27   0.023      .037607    .5102449
                 5  |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
                 6  |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
                11  |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
                12  |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
                13  |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
                14  |   .3265672   .0979723     3.33   0.001      .134545    .5185893
                21  |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
                22  |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
                23  |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
                24  |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
                25  |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
                31  |   .3896854   .1088369     3.58   0.000      .176369    .6030017
                32  |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
                33  |     .28514   .1104375     2.58   0.010     .0686866    .5015935
                34  |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
                35  |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
                36  |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
                37  |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
                40  |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
                41  |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
                42  |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
                43  |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
                44  |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
                45  |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
                46  |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
                47  |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
                48  |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
                49  |    .026546    .116572     0.23   0.820     -.201931     .255023
                51  |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
                52  |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
                53  |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
                54  |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
                56  |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
                61  |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
                62  |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
                63  |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
                64  |    .443744   .1256613     3.53   0.000     .1974523    .6900356
                65  |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
                66  |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
                67  |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
                68  |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
                71  |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
                72  |     .55665   .1067046     5.22   0.000     .3475129    .7657871
                73  |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
                    |
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr
                      34.stateicpsr 35.stateicpsr 36.stateicpsr 37.stateicpsr
                      40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr
                      44.stateicpsr 45.stateicpsr 46.stateicpsr 47.stateicpsr
                      48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr
                      53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr
                      62.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr
                      72.stateicpsr 73.stateicpsr
Excluded instruments: iAGRI_T73 iSUM3MO_DROUGHT3340
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iAGRI_T73 iSUM3MO_DROUGHT3340


Conley et al (2012)'s UCI results                     Number of obs =      3022
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  -.08962796      .09166295
ww1_awards_pop10_is.01751441.39507782
lpop30      -.09301614      .09181798
c30unemp    -1.0849584      .63427684
c30urban1   -.06588451      .10080471
c30farm     -1.0009154      -.28666881
iYf_T29     -.08063791      .14619962
MEAN9628    -.00350368      .00431205
c30men      -3.0018605      1.0387367
c30black    -.49425418      .0348855
c30jap      -1.2039889      9.9156098
c30deu      -.02047838      1.1359896
c30ita      -1.7139471      1.4045715
c30vet      -2.6480216      2.0189863
lc40wage    .27407652       .56607279
iwarconpro_PC.2276795       .332917
2.stateicpsr-.38898736      .75378711
3.stateicpsr-.35898737      .02496312
4.stateicpsr-.28669072      .59406969
5.stateicpsr-.41911486      -.06870875
6.stateicpsr-.26621023      .63197623
11.stateicpsr.07103972      .74210574
12.stateicpsr-.27165353     .14842201
13.stateicpsr-.33375408     .52152929
14.stateicpsr-.23088396     .61102273
21.stateicpsr-.36257508     .2876794
22.stateicpsr-.44768663     .28820459
23.stateicpsr-.46922782     .33542859
24.stateicpsr-.46008688     .28981377
25.stateicpsr-.44212568     .30180303
31.stateicpsr.00825071      .64367671
32.stateicpsr-.20318787     .45054573
33.stateicpsr-.21129799     .56176472
34.stateicpsr-.47804083     .33377002
35.stateicpsr-.11565676     .6032424
36.stateicpsr-.18610815     .69932725
37.stateicpsr-.20973409     .41526235
40.stateicpsr-.1978948      .66970768
41.stateicpsr-.18518638     .38982339
42.stateicpsr-.82248289     .11748144
43.stateicpsr-.26914392     .48130768
44.stateicpsr-.36883354     .19357762
45.stateicpsr-.51154679     .16242474
46.stateicpsr-.43392713     .54388138
47.stateicpsr-.3310793      .37535034
48.stateicpsr-.70060276     .03027436
49.stateicpsr-.24072492     .28431664
51.stateicpsr-.8209907      .17666356
52.stateicpsr-.28452726     .25967489
53.stateicpsr-.43399939     .34174001
54.stateicpsr-.50970116     .33658226
56.stateicpsr-.46992879     .65228293
61.stateicpsr-.45790771     .5137233
62.stateicpsr-.47538193     .41026775
63.stateicpsr-.41622068     .45796395
64.stateicpsr-.00934663     .73202784
65.stateicpsr-.44227548     .63147821
66.stateicpsr-.722273       .13713366
67.stateicpsr-.5521026      .20950356
68.stateicpsr-.17785074     .51362446
71.stateicpsr-.23508361     .3325011
72.stateicpsr.08972277      .82898571
73.stateicpsr-.02406988     .77494012
iAGRI_PF    -.04071704      .53654114
_cons       -2.2464394      3.2820516
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7A-conley2012-warbonds-drought.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     69.85
       Model |    172.0215        56  3.07181251   Prob > F        =    0.0000
    Residual |  99.9159688     2,272  .043977099   R-squared       =    0.6326
-------------+----------------------------------   Adj R-squared   =    0.6235
       Total |  271.937469     2,328  .116811628   Root MSE        =    .20971

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .0860219   .0111327     7.73   0.000     .0641906    .1078532
iSUM3MO_DROUGHT3340 |   .0329353   .0083139     3.96   0.000     .0166315     .049239
         ww1_vol_sh |   .1130801   .0217996     5.19   0.000     .0703309    .1558293
ww1_awards_pop10_is |   .1064834   .0506825     2.10   0.036     .0070946    .2058722
             lpop30 |  -.0145244   .0082033    -1.77   0.077    -.0306111    .0015623
           c30unemp |   .5222917   .1420893     3.68   0.000     .2436534    .8009301
          c30urban1 |   .0101617   .0127665     0.80   0.426    -.0148734    .0351969
            c30farm |  -.1258121   .0423238    -2.97   0.003    -.2088093   -.0428148
            iYf_T29 |  -.0164674   .0098385    -1.67   0.094    -.0357608     .002826
           MEAN9628 |  -.0004917   .0004753    -1.03   0.301    -.0014238    .0004403
             c30men |    -1.3743    .351594    -3.91   0.000    -2.063779   -.6848209
           c30black |  -.4260216   .0388196   -10.97   0.000    -.5021472   -.3498961
             c30jap |  -.0034897   1.301302    -0.00   0.998    -2.555353    2.548374
             c30deu |  -.7035296   .1512379    -4.65   0.000    -1.000108   -.4069508
             c30ita |  -.3215662   .2679866    -1.20   0.230    -.8470902    .2039578
             c30vet |   1.085309   .1834916     5.91   0.000     .7254802    1.445138
           lc40wage |   .1889381   .0277171     6.82   0.000     .1345847    .2432916
      iwarconpro_PC |  -.0347172   .0086234    -4.03   0.000    -.0516277   -.0178067
      _Istateicps_2 |  -.0702053   .0954058    -0.74   0.462    -.2572969    .1168863
      _Istateicps_3 |   .0247341   .0973812     0.25   0.800    -.1662313    .2156994
      _Istateicps_4 |   .1492547   .1035286     1.44   0.150    -.0537657    .3522752
      _Istateicps_5 |  -.0161633   .1201208    -0.13   0.893    -.2517213    .2193947
      _Istateicps_6 |   .2692791   .0970812     2.77   0.006      .078902    .4596563
     _Istateicps_11 |  -.1809559   .1441729    -1.26   0.210    -.4636802    .1017685
     _Istateicps_12 |  -.1024822   .0878975    -1.17   0.244    -.2748498    .0698855
     _Istateicps_13 |  -.0277511   .0808943    -0.34   0.732    -.1863856    .1308834
     _Istateicps_14 |  -.2546621   .0813438    -3.13   0.002     -.414178   -.0951463
     _Istateicps_21 |  -.0317785   .0842984    -0.38   0.706    -.1970884    .1335314
     _Istateicps_22 |  -.1439841   .0849745    -1.69   0.090    -.3106199    .0226518
     _Istateicps_23 |  -.1099444    .085426    -1.29   0.198    -.2774655    .0575768
     _Istateicps_24 |  -.1706729   .0839636    -2.03   0.042    -.3353262   -.0060196
     _Istateicps_25 |    .118393    .088197     1.34   0.180    -.0545621    .2913482
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1688699    .083393    -2.02   0.043    -.3324042   -.0053356
     _Istateicps_41 |   .0896781   .0858556     1.04   0.296    -.0786854    .2580416
     _Istateicps_42 |  -.3186556   .0861005    -3.70   0.000    -.4874995   -.1498116
     _Istateicps_43 |   .1917461   .0854844     2.24   0.025     .0241104    .3593818
     _Istateicps_44 |   .1642662   .0837045     1.96   0.050     .0001209    .3284114
     _Istateicps_45 |  -.1914406   .0853529    -2.24   0.025    -.3588184   -.0240628
     _Istateicps_46 |   .0885733   .0866192     1.02   0.307    -.0812878    .2584344
     _Istateicps_47 |  -.0283112   .0834311    -0.34   0.734    -.1919203    .1352978
     _Istateicps_48 |   .0094218   .0900176     0.10   0.917    -.1671035    .1859471
     _Istateicps_49 |   .4776769   .0830017     5.76   0.000     .3149099    .6404439
     _Istateicps_51 |  -.0061148    .083524    -0.07   0.942    -.1699062    .1576765
     _Istateicps_52 |  -.2977252   .0913509    -3.26   0.001    -.4768651   -.1185853
     _Istateicps_53 |   .0896009   .0868982     1.03   0.303    -.0808072     .260009
     _Istateicps_54 |   -.098141   .0836437    -1.17   0.241    -.2621671     .065885
     _Istateicps_56 |   .0517802   .0841166     0.62   0.538    -.1131733    .2167337
     _Istateicps_61 |  -.5359364   .1021256    -5.25   0.000    -.7362056   -.3356672
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1087596   .0900207    -1.21   0.227     -.285291    .0677718
     _Istateicps_64 |   .1455702   .0901229     1.62   0.106    -.0311616     .322302
     _Istateicps_65 |  -.1953069   .0982514    -1.99   0.047    -.3879787   -.0026351
     _Istateicps_66 |   .0516945   .0918894     0.56   0.574    -.1285015    .2318905
     _Istateicps_67 |  -.2577614   .0906807    -2.84   0.005     -.435587   -.0799357
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0065531   .0865809     0.08   0.940    -.1632327     .176339
     _Istateicps_72 |  -.2306826   .0906893    -2.54   0.011    -.4085252   -.0528401
     _Istateicps_73 |   .0274225   .0884837     0.31   0.757    -.1460949    .2009398
     _Istateicps_98 |          0  (omitted)
              _cons |   .2345152   .2861178     0.82   0.413    -.3265644    .7955947
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
                    |
         stateicpsr |
                 2  |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
                 3  |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
                 4  |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
                 5  |    .043889    .071236     0.62   0.538    -.0957311    .1835091
                 6  |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
                11  |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
                12  |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
                13  |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
                14  |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
                21  |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
                22  |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
                23  |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
                24  |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
                25  |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
                40  |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
                41  |    .168629   .0941446     1.79   0.073     -.015891     .353149
                42  |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
                43  |    .359333   .1030183     3.49   0.000     .1574208    .5612453
                44  |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
                45  |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
                46  |   .2923887   .0978264     2.99   0.003     .1006525     .484125
                47  |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
                48  |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
                49  |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
                51  |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
                52  |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
                53  |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
                54  |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
                56  |   .3277989    .117535     2.79   0.005     .0974344    .5581633
                61  |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
                63  |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
                64  |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
                65  |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
                66  |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
                67  |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
                71  |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
                72  |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
                73  |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
                    |
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iAGRI_T73 iSUM3MO_DROUGHT3340
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iAGRI_T73 iSUM3MO_DROUGHT3340


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .03210371       .17635839
ww1_awards_pop10_is-.08276252.29298817
lpop30      -.03797368      .06451461
c30unemp    .14105676       1.3391873
c30urban1   -.05797842      .02983436
c30farm     -.30600884      .02326571
iYf_T29     -.13927305      .00732996
MEAN9628    -.00479652      .00053586
c30men      -2.4952335      -.02485901
c30black    -.52896004      -.2441727
c30jap      -2.6543471      4.0114481
c30deu      -1.2287291      -.3602248
c30ita      -.8041563       .57973897
c30vet      .36525894       1.556946
lc40wage    .08281837       .26778859
iwarconpro_PC-.05746118     -.01327394
2.stateicpsr-.16063603      .44291183
3.stateicpsr-.12971496      .18895627
4.stateicpsr.07594756       .64146098
5.stateicpsr-.11582673      .1934833
6.stateicpsr.14970322       .66280416
11.stateicpsr-.3161293      .1252098
12.stateicpsr-.23930403     .16062818
13.stateicpsr-.14306665     .39175009
14.stateicpsr-.36759263     .16960266
21.stateicpsr-.25531954     .13052498
22.stateicpsr-.33781009     .09533056
23.stateicpsr-.28907227     .20732359
24.stateicpsr-.31605481     .12425568
25.stateicpsr-.07459891     .3777051
40.stateicpsr-.28454956     .24598888
41.stateicpsr-.04623493     .36556495
42.stateicpsr-.43701932     .0395345
43.stateicpsr.05406431      .58163233
44.stateicpsr.03596381      .41599083
45.stateicpsr-.32648183     .11221479
46.stateicpsr-.02575723     .51107397
47.stateicpsr-.15945464     .28087456
48.stateicpsr-.11841741     .3349874
49.stateicpsr.25416106      .64375912
51.stateicpsr-.18055287     .42760098
52.stateicpsr-.43427127     -.05691294
53.stateicpsr-.14463477     .31758359
54.stateicpsr-.24098322     .30963793
56.stateicpsr-.07777823     .59280593
61.stateicpsr-.70918224     -.22292317
63.stateicpsr-.3581254      .10154087
64.stateicpsr-.20542266     .26556524
65.stateicpsr-.4226096      .11065769
66.stateicpsr-.15881964     .2591269
67.stateicpsr-.45128322     -.01845573
71.stateicpsr-.29957164     .12401116
72.stateicpsr-.4178343      .02673583
73.stateicpsr-.15668777     .26095389
iAGRI_PF    -.04881057      .30830759
_cons       -2.5452584      1.0221055
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7B-conley2012-volunteers-drought.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.39
       Model |  7.12516045        56  .127235008   Prob > F        =    0.0000
    Residual |  30.8015947     2,272   .01355704   R-squared       =    0.1879
-------------+----------------------------------   Adj R-squared   =    0.1678
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11643

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .0145801   .0061811     2.36   0.018     .0024588    .0267014
iSUM3MO_DROUGHT3340 |   .0130534   .0046161     2.83   0.005     .0040012    .0221056
         ww1_vol_sh |   .0578215   .0121037     4.78   0.000     .0340861    .0815569
ww1_awards_pop10_is |   .0312307   .0281402     1.11   0.267    -.0239525    .0864139
             lpop30 |  -.0188978   .0045547    -4.15   0.000    -.0278295    -.009966
           c30unemp |   .1284953   .0788916     1.63   0.104    -.0262117    .2832024
          c30urban1 |   .0071167   .0070883     1.00   0.315    -.0067835    .0210169
            c30farm |   .0193387   .0234992     0.82   0.411    -.0267434    .0654209
            iYf_T29 |   .0177234   .0054626     3.24   0.001     .0070112    .0284355
           MEAN9628 |  -.0000508   .0002639    -0.19   0.848    -.0005683    .0004668
             c30men |  -.5675012   .1952138    -2.91   0.004    -.9503172   -.1846852
           c30black |  -.0510801   .0215536    -2.37   0.018    -.0933469   -.0088132
             c30jap |   .6928897   .7225154     0.96   0.338    -.7239693    2.109749
             c30deu |   .0579408   .0839711     0.69   0.490    -.1067272    .2226088
             c30ita |  -.0455644   .1487929    -0.31   0.759    -.3373485    .2462198
             c30vet |   .2649923   .1018792     2.60   0.009     .0652063    .4647782
           lc40wage |   .0524457   .0153892     3.41   0.001     .0222673    .0826241
      iwarconpro_PC |   .0046898   .0047879     0.98   0.327    -.0046994    .0140789
      _Istateicps_2 |  -.0479245   .0529717    -0.90   0.366    -.1518025    .0559534
      _Istateicps_3 |   -.005522   .0540685    -0.10   0.919    -.1115507    .1005068
      _Istateicps_4 |  -.0506043   .0574817    -0.88   0.379    -.1633264    .0621177
      _Istateicps_5 |   .0540974   .0666941     0.81   0.417    -.0766903    .1848851
      _Istateicps_6 |  -.0374051   .0539019    -0.69   0.488    -.1431072    .0682971
     _Istateicps_11 |  -.0499485   .0800484    -0.62   0.533    -.2069242    .1070272
     _Istateicps_12 |  -.0414974   .0488029    -0.85   0.395    -.1372003    .0542055
     _Istateicps_13 |  -.0313463   .0449146    -0.70   0.485    -.1194241    .0567316
     _Istateicps_14 |  -.0525687   .0451641    -1.16   0.245    -.1411359    .0359985
     _Istateicps_21 |  -.0672694   .0468046    -1.44   0.151    -.1590536    .0245148
     _Istateicps_22 |  -.0949741     .04718    -2.01   0.044    -.1874945   -.0024537
     _Istateicps_23 |  -.0692357   .0474307    -1.46   0.145    -.1622477    .0237763
     _Istateicps_24 |   -.054041   .0466187    -1.16   0.246    -.1454606    .0373787
     _Istateicps_25 |  -.1034816   .0489692    -2.11   0.035    -.1995106   -.0074525
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0324607   .0463019    -0.70   0.483     -.123259    .0583377
     _Istateicps_41 |  -.0312623   .0476692    -0.66   0.512     -.124742    .0622173
     _Istateicps_42 |  -.0732262   .0478052    -1.53   0.126    -.1669726    .0205202
     _Istateicps_43 |  -.0015287   .0474631    -0.03   0.974    -.0946043    .0915469
     _Istateicps_44 |  -.0422803   .0464748    -0.91   0.363    -.1334179    .0488573
     _Istateicps_45 |  -.0372826   .0473901    -0.79   0.432    -.1302149    .0556498
     _Istateicps_46 |  -.0201272   .0480932    -0.42   0.676    -.1144383    .0741839
     _Istateicps_47 |   -.047039    .046323    -1.02   0.310    -.1378789    .0438008
     _Istateicps_48 |  -.0416117     .04998    -0.83   0.405     -.139623    .0563996
     _Istateicps_49 |  -.0120568   .0460846    -0.26   0.794    -.1024291    .0783155
     _Istateicps_51 |  -.0550907   .0463746    -1.19   0.235    -.1460317    .0358504
     _Istateicps_52 |  -.0315381   .0507203    -0.62   0.534    -.1310011    .0679249
     _Istateicps_53 |   -.039367   .0482481    -0.82   0.415    -.1339818    .0552479
     _Istateicps_54 |  -.0547425   .0464411    -1.18   0.239    -.1458139    .0363288
     _Istateicps_56 |  -.0370984   .0467037    -0.79   0.427    -.1286847     .054488
     _Istateicps_61 |   .0067279   .0567027     0.12   0.906    -.1044666    .1179224
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.018745   .0499818    -0.38   0.708    -.1167597    .0792697
     _Istateicps_64 |   .1007132   .0500385     2.01   0.044     .0025873    .1988392
     _Istateicps_65 |  -.0112761   .0545516    -0.21   0.836    -.1182523    .0957001
     _Istateicps_66 |  -.0235089   .0510193    -0.46   0.645    -.1235582    .0765404
     _Istateicps_67 |  -.0134042   .0503482    -0.27   0.790    -.1121375    .0853291
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0618464   .0480719     1.29   0.198     -.032423    .1561158
     _Istateicps_72 |  -.0404986    .050353    -0.80   0.421    -.1392413    .0582441
     _Istateicps_73 |   .0128091   .0491284     0.26   0.794    -.0835321    .1091503
     _Istateicps_98 |          0  (omitted)
              _cons |   .1792331   .1588598     1.13   0.259    -.1322924    .4907586
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
                    |
         stateicpsr |
                 2  |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
                 3  |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
                 4  |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
                 5  |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
                 6  |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
                11  |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
                12  |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
                13  |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
                14  |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
                21  |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
                22  |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
                23  |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
                24  |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
                25  |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
                40  |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
                41  |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
                42  |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
                43  |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
                44  |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
                45  |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
                46  |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
                47  |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
                48  |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
                49  |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
                51  |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
                52  |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
                53  |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
                54  |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
                56  |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
                61  |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
                63  |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
                64  |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
                65  |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
                66  |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
                67  |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
                71  |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
                72  |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
                73  |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
                    |
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iAGRI_T73 iSUM3MO_DROUGHT3340
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iAGRI_T73 iSUM3MO_DROUGHT3340


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .01422244       .09677578
ww1_awards_pop10_is-.05172429.1074725
lpop30      -.04343965      .01937736
c30unemp    -.15783727      .51278488
c30urban1   -.01605554      .0179208
c30farm     -.04561697      .0740759
iYf_T29     -.02475596      .03463277
MEAN9628    -.0014408       .00063356
c30men      -.97968215      -.11055593
c30black    -.09309867      .01092814
c30jap      -1.6948271      3.3800492
c30deu      -.2345418       .30584596
c30ita      -.40867852      .43216246
c30vet      -.00173881      .47189683
lc40wage    .00386215       .09180739
iwarconpro_PC-.00470037     .01369119
2.stateicpsr-.0938083       .09389377
3.stateicpsr-.03666617      .02945698
4.stateicpsr-.08798113      .08740139
5.stateicpsr.0302802        .10306818
6.stateicpsr-.09340133      .09332276
11.stateicpsr-.08844165     .01113099
12.stateicpsr-.0661023      .01288706
13.stateicpsr-.06485118     .08225877
14.stateicpsr-.08649763     .06387372
21.stateicpsr-.13791074     .00969406
22.stateicpsr-.15725179     -.00683106
23.stateicpsr-.13647787     .04335152
24.stateicpsr-.10610773     .04535249
25.stateicpsr-.1939058      .01086667
40.stateicpsr-.07053675     .07991729
41.stateicpsr-.06689879     .03681892
42.stateicpsr-.10916578     .02874639
43.stateicpsr-.05543546     .1182955
44.stateicpsr-.0829159      .02961074
45.stateicpsr-.07589839     .04724805
46.stateicpsr-.05822574     .09548221
47.stateicpsr-.08204811     .03124912
48.stateicpsr-.08024743     .04238612
49.stateicpsr-.07268373     .03914315
51.stateicpsr-.09434781     .05502569
52.stateicpsr-.08768043     .04990333
53.stateicpsr-.09289491     .02904311
54.stateicpsr-.0861164      .05005849
56.stateicpsr-.0728419      .10608302
61.stateicpsr-.08446537     .12848519
63.stateicpsr-.11249569     .08059027
64.stateicpsr-.0555315      .22349698
65.stateicpsr-.12763208     .12045201
66.stateicpsr-.09905663     .05611683
67.stateicpsr-.09467802     .08670257
71.stateicpsr-.06524079     .15431272
72.stateicpsr-.12319323     .07491843
73.stateicpsr-.05658152     .10093012
iAGRI_PF    -.01235785      .08302731
_cons       -.61943046      .44895735
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7C-conley2012-medals-drought.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     76.28
       Model |   2400.7621        56  42.8707517   Prob > F        =    0.0000
    Residual |  1276.97633     2,272  .562049443   R-squared       =    0.6528
-------------+----------------------------------   Adj R-squared   =    0.6442
       Total |  3677.73843     2,328  1.57978455   Root MSE        =     .7497

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iAGRI_T73 |   .2513821   .0397992     6.32   0.000     .1733356    .3294286
iSUM3MO_DROUGHT3340 |   .2109929   .0297222     7.10   0.000     .1527074    .2692784
         ww1_vol_sh |   .4736309   .0779331     6.08   0.000     .3208033    .6264584
ww1_awards_pop10_is |   .5113822   .1811891     2.82   0.005     .1560689    .8666955
             lpop30 |  -.1769056   .0293266    -6.03   0.000    -.2344153   -.1193959
           c30unemp |   1.189226   .5079668     2.34   0.019     .1930984    2.185353
          c30urban1 |   .1427418     .04564     3.13   0.002     .0532414    .2322422
            c30farm |  -.5731335   .1513067    -3.79   0.000    -.8698473   -.2764198
            iYf_T29 |   .1451992   .0351725     4.13   0.000     .0762257    .2141728
           MEAN9628 |   .0027565   .0016992     1.62   0.105    -.0005757    .0060886
             c30men |  -6.829491   1.256943    -5.43   0.000    -9.294367   -4.364616
           c30black |  -1.193905   .1387794    -8.60   0.000    -1.466053   -.9217575
             c30jap |   7.898893   4.652131     1.70   0.090    -1.223976    17.02176
             c30deu |  -.0100055   .5406728    -0.02   0.985    -1.070269    1.050258
             c30ita |  -1.096473   .9580475    -1.14   0.253    -2.975212    .7822668
             c30vet |   3.818315   .6559795     5.82   0.000     2.531933    5.104696
           lc40wage |   .9745861   .0990881     9.84   0.000     .7802734    1.168899
      iwarconpro_PC |   .2301377   .0308284     7.47   0.000     .1696829    .2905924
      _Istateicps_2 |  -.5157156   .3410741    -1.51   0.131    -1.184565    .1531337
      _Istateicps_3 |  -.1242735   .3481361    -0.36   0.721    -.8069713    .5584244
      _Istateicps_4 |  -.1230119   .3701129    -0.33   0.740    -.8488065    .6027827
      _Istateicps_5 |  -.1389388   .4294299    -0.32   0.746    -.9810546     .703177
      _Istateicps_6 |   .2556518   .3470637     0.74   0.461    -.4249432    .9362467
     _Istateicps_11 |  -.2587251   .5154157    -0.50   0.616     -1.26946    .7520096
     _Istateicps_12 |  -.4482357   .3142319    -1.43   0.154    -1.064447    .1679758
     _Istateicps_13 |  -.3249377   .2891958    -1.12   0.261    -.8920532    .2421779
     _Istateicps_14 |  -.7226172   .2908026    -2.48   0.013    -1.292884   -.1523507
     _Istateicps_21 |   -.396342   .3013653    -1.32   0.189    -.9873221     .194638
     _Istateicps_22 |  -.8164935   .3037826    -2.69   0.007    -1.412214   -.2207733
     _Istateicps_23 |  -.6738436   .3053965    -2.21   0.027    -1.272729   -.0749583
     _Istateicps_24 |  -.7474275   .3001684    -2.49   0.013     -1.33606   -.1587947
     _Istateicps_25 |  -.3973951   .3153029    -1.26   0.208    -1.015707    .2209166
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    -.43819   .2981284    -1.47   0.142    -1.022822    .1464423
     _Istateicps_41 |   .0198547   .3069322     0.06   0.948    -.5820419    .6217514
     _Istateicps_42 |  -1.371677    .307808    -4.46   0.000    -1.975291   -.7680633
     _Istateicps_43 |   .2030777   .3056054     0.66   0.506    -.3962171    .8023725
     _Istateicps_44 |  -.0744048   .2992422    -0.25   0.804    -.6612213    .5124117
     _Istateicps_45 |  -.7610023   .3051352    -2.49   0.013    -1.359375   -.1626295
     _Istateicps_46 |  -.1379095   .3096623    -0.45   0.656      -.74516    .4693409
     _Istateicps_47 |  -.3639807   .2982646    -1.22   0.222    -.9488803    .2209188
     _Istateicps_48 |   -.632361   .3218114    -1.97   0.050    -1.263436   -.0012861
     _Istateicps_49 |   .7878648   .2967296     2.66   0.008     .2059755    1.369754
     _Istateicps_51 |  -.6390116    .298597    -2.14   0.032    -1.224563   -.0534603
     _Istateicps_52 |  -.7073435   .3265779    -2.17   0.030    -1.347766   -.0669213
     _Istateicps_53 |  -.0857699   .3106596    -0.28   0.783     -.694976    .5234362
     _Istateicps_54 |  -.6600734   .2990248    -2.21   0.027    -1.246464   -.0736831
     _Istateicps_56 |  -.3088694   .3007156    -1.03   0.304    -.8985752    .2808365
     _Istateicps_61 |  -.9909381   .3650973    -2.71   0.007    -1.706897   -.2749791
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.3023885   .3218226    -0.94   0.348    -.9334854    .3287084
     _Istateicps_64 |   1.103207   .3221878     3.42   0.001     .4713944    1.735021
     _Istateicps_65 |  -.4237959   .3512469    -1.21   0.228    -1.112594    .2650023
     _Istateicps_66 |  -.2882373   .3285032    -0.88   0.380    -.9324349    .3559603
     _Istateicps_67 |  -.7303856    .324182    -2.25   0.024    -1.366109   -.0946618
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3768838   .3095252     1.22   0.223    -.2300978    .9838653
     _Istateicps_72 |  -.2444381   .3242128    -0.75   0.451    -.8802222     .391346
     _Istateicps_73 |   .3932247   .3163278     1.24   0.214    -.2270969    1.013546
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.061414   1.022866    -2.02   0.044    -4.067264   -.0555641
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
                    |
         stateicpsr |
                 2  |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
                 3  |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
                 4  |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
                 5  |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
                 6  |   1.057225   .3504723     3.02   0.003      .370312    1.744138
                11  |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
                12  |    -.17893    .221375    -0.81   0.419     -.612817     .254957
                13  |    .631846    .265768     2.38   0.017     .1109504    1.152742
                14  |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
                21  |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
                22  |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
                23  |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
                24  |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
                25  |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
                40  |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
                41  |    .366587    .254237     1.44   0.149    -.1317085    .8648824
                42  |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
                43  |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
                44  |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
                45  |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
                46  |   .7896323   .2820737     2.80   0.005      .236778    1.342487
                47  |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
                48  |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
                49  |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
                51  |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
                52  |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
                53  |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
                54  |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
                56  |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
                61  |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
                63  |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
                64  |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
                65  |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
                66  |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
                67  |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
                71  |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
                72  |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
                73  |   .6408049    .282687     2.27   0.023     .0867487    1.194861
                    |
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iAGRI_T73 iSUM3MO_DROUGHT3340
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iAGRI_T73 iSUM3MO_DROUGHT3340


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .13087538       .71842861
ww1_awards_pop10_is-.106354961.0521752
lpop30      -.30626622      .17520117
c30unemp    -.38967232      4.5778585
c30urban1   -.13886784      .23410517
c30farm     -1.3227814      .00964124
iYf_T29     -.37555164      .25187073
MEAN9628    -.01446956      .0077193
c30men      -10.315083      -2.561465
c30black    -1.5434493      -.43932691
c30jap      -3.6775491      25.454266
c30deu      -2.2942137      1.5086471
c30ita      -3.4788452      3.2590209
c30vet      1.2576357       5.2601591
lc40wage    .53166349       1.2605799
iwarconpro_PC.13047753      .32341288
2.stateicpsr-.89567886      1.5715792
3.stateicpsr-.58028616      .3973328
4.stateicpsr-.42986213      1.7673705
5.stateicpsr-.37525292      .57615649
6.stateicpsr-.21392522      1.9165805
11.stateicpsr-.56670846     .84970782
12.stateicpsr-.68567776     .33984942
13.stateicpsr-.73089653     1.3521351
14.stateicpsr-1.1323636     .96942525
21.stateicpsr-1.0631293     .3588665
22.stateicpsr-1.418083      .24359223
23.stateicpsr-1.2572635     .69534346
24.stateicpsr-1.2248205     .53946306
25.stateicpsr-1.0683337     .73117222
40.stateicpsr-.85371341     1.1612406
41.stateicpsr-.3341859      .9564201
42.stateicpsr-1.7623289     .12464185
43.stateicpsr-.26777593     1.6774973
44.stateicpsr-.44512746     .84952648
45.stateicpsr-1.1427237     .38003388
46.stateicpsr-.59446812     1.5378631
47.stateicpsr-.76086157     .82716734
48.stateicpsr-.9957431      .54093876
49.stateicpsr.05586656      1.3567493
51.stateicpsr-1.0766296     .96839388
52.stateicpsr-1.1703382     .2166868
53.stateicpsr-.71502534     .80168429
54.stateicpsr-1.0428569     .87109157
56.stateicpsr-.81761458     1.8602976
61.stateicpsr-1.7365812     .39411121
63.stateicpsr-1.1320497     .66276562
64.stateicpsr-.07781816     1.6968664
65.stateicpsr-1.3323281     .90089249
66.stateicpsr-.9753697      .52941457
67.stateicpsr-1.4191056     .32892808
71.stateicpsr-.70523711     .80944407
72.stateicpsr-.8576683      .88301986
73.stateicpsr-.21385981     1.3166048
iAGRI_PF    -.24219814      1.2367155
_cons       -12.792324      .17083279
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7D-conley2012-pca-drought.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     3,022
-------------+----------------------------------   F(65, 2956)     =     84.89
       Model |  899.426995        65  13.8373384   Prob > F        =    0.0000
    Residual |  481.824923     2,956  .162998959   R-squared       =    0.6512
-------------+----------------------------------   Adj R-squared   =    0.6435
       Total |  1381.25192     3,021  .457216789   Root MSE        =    .40373

-------------------------------------------------------------------------------------
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .1044649    .015199     6.87   0.000     .0746633    .1342666
          iAGRI_T73 |   .1080405   .0183052     5.90   0.000     .0721483    .1439327
         ww1_vol_sh |   .0020974   .0355045     0.06   0.953    -.0675186    .0717134
ww1_awards_pop10_is |   .2162091   .0853913     2.53   0.011     .0487767    .3836415
             lpop30 |  -.0420301   .0142195    -2.96   0.003    -.0699112   -.0141489
           c30unemp |  -.6593736   .2501658    -2.64   0.008     -1.14989   -.1688568
          c30urban1 |   .0556669   .0215222     2.59   0.010     .0134669     .097867
            c30farm |   -.531156   .0746226    -7.12   0.000    -.6774735   -.3848385
            iYf_T29 |   .1034498    .016906     6.12   0.000     .0703011    .1365984
           MEAN9628 |   .0027323   .0008498     3.22   0.001      .001066    .0043986
             c30men |  -1.473362   .6108732    -2.41   0.016    -2.671142   -.2755821
           c30black |  -.2978921   .0733964    -4.06   0.000    -.4418053   -.1539789
             c30jap |   4.449762   2.375894     1.87   0.061    -.2088117    9.108336
             c30deu |   .7477781   .2027225     3.69   0.000     .3502865     1.14527
             c30ita |  -.5103324    .482894    -1.06   0.291    -1.457175    .4365101
             c30vet |   .1354344     .29923     0.45   0.651    -.4512858    .7221545
           lc40wage |   .4517525   .0489154     9.24   0.000     .3558407    .5476643
      iwarconpro_PC |   .2753167   .0152656    18.04   0.000     .2453845    .3052489
      _Istateicps_2 |  -.2657758   .1825951    -1.46   0.146    -.6238021    .0922505
      _Istateicps_3 |  -.1851871   .1869699    -0.99   0.322    -.5517914    .1814172
      _Istateicps_4 |  -.2262059   .1983502    -1.14   0.254    -.6151244    .1627126
      _Istateicps_5 |  -.3372538   .2309796    -1.46   0.144    -.7901509    .1156433
      _Istateicps_6 |  -.1067521   .1858606    -0.57   0.566    -.4711815    .2576773
     _Istateicps_11 |   .2263732   .2770763     0.82   0.414    -.3169089    .7696552
     _Istateicps_12 |  -.1176232   .1689184    -0.70   0.486    -.4488329    .2135864
     _Istateicps_13 |  -.1958528     .15535    -1.26   0.208    -.5004579    .1087524
     _Istateicps_14 |  -.1252031   .1559943    -0.80   0.422    -.4310715    .1806654
     _Istateicps_21 |  -.0668244   .1606023    -0.42   0.677    -.3817281    .2480793
     _Istateicps_22 |  -.1841347    .162055    -1.14   0.256    -.5018868    .1336173
     _Istateicps_23 |  -.2458621   .1626391    -1.51   0.131    -.5647594    .0730352
     _Istateicps_24 |  -.2665829   .1603403    -1.66   0.096    -.5809729     .047807
     _Istateicps_25 |  -.1769377   .1657612    -1.07   0.286    -.5019567    .1480813
     _Istateicps_31 |   .3794777    .163839     2.32   0.021     .0582277    .7007278
     _Istateicps_32 |   .2237409   .1654127     1.35   0.176    -.1005947    .5480766
     _Istateicps_33 |   .1773892   .1662996     1.07   0.286    -.1486856    .5034641
     _Istateicps_34 |  -.2124591   .1612472    -1.32   0.188    -.5286272     .103709
     _Istateicps_35 |   .3549817   .1678649     2.11   0.035     .0258377    .6841257
     _Istateicps_36 |   .6300917   .1698654     3.71   0.000     .2970252    .9631582
     _Istateicps_37 |   .2850514   .1697002     1.68   0.093     -.047691    .6177939
     _Istateicps_40 |  -.0668447   .1592849    -0.42   0.675    -.3791653    .2454758
     _Istateicps_41 |  -.0528459   .1638413    -0.32   0.747    -.3741006    .2684087
     _Istateicps_42 |  -.6301379   .1640106    -3.84   0.000    -.9517245   -.3085513
     _Istateicps_43 |  -.1211772   .1632559    -0.74   0.458    -.4412839    .1989295
     _Istateicps_44 |  -.2319545   .1596857    -1.45   0.146     -.545061     .081152
     _Istateicps_45 |  -.3226247   .1630869    -1.98   0.048       -.6424   -.0028493
     _Istateicps_46 |  -.2446625   .1651741    -1.48   0.139    -.5685304    .0792054
     _Istateicps_47 |  -.1796429   .1592709    -1.13   0.259    -.4919361    .1326502
     _Istateicps_48 |  -.5425539   .1716695    -3.16   0.002    -.8791577     -.20595
     _Istateicps_49 |   .0153169   .1582089     0.10   0.923    -.2948938    .3255276
     _Istateicps_51 |  -.5095732   .1592381    -3.20   0.001     -.821802   -.1973444
     _Istateicps_52 |  -.1201319   .1749003    -0.69   0.492    -.4630706    .2228068
     _Istateicps_53 |  -.0999809   .1651416    -0.61   0.545    -.4237851    .2238232
     _Istateicps_54 |  -.3753542   .1595237    -2.35   0.019    -.6881429   -.0625654
     _Istateicps_56 |  -.3187274    .160862    -1.98   0.048    -.6341404   -.0033145
     _Istateicps_61 |  -.1338837   .1950358    -0.69   0.492    -.5163034     .248536
     _Istateicps_62 |  -.1844611   .1658344    -1.11   0.266    -.5096236    .1407014
     _Istateicps_63 |  -.0207271   .1711455    -0.12   0.904    -.3563035    .3148492
     _Istateicps_64 |   .4946629    .170834     2.90   0.004     .1596973    .8296285
     _Istateicps_65 |  -.0156162   .1867302    -0.08   0.933    -.3817504    .3505181
     _Istateicps_66 |  -.3300368   .1750395    -1.89   0.059    -.6732485    .0131748
     _Istateicps_67 |   -.259308   .1731244    -1.50   0.134    -.5987647    .0801486
     _Istateicps_68 |    .302222   .1829457     1.65   0.099    -.0564919    .6609358
     _Istateicps_71 |   .1238927   .1647549     0.75   0.452    -.1991533    .4469387
     _Istateicps_72 |   .3660657   .1724396     2.12   0.034     .0279518    .7041795
     _Istateicps_73 |   .3295381   .1685198     1.96   0.051    -.0008899     .659966
     _Istateicps_98 |          0  (omitted)
              _cons |   2.526721   .5107926     4.95   0.000     1.525175    3.528266
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
                    |
         stateicpsr |
                 2  |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
                 3  |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
                 4  |    .273926   .1205731     2.27   0.023      .037607    .5102449
                 5  |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
                 6  |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
                11  |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
                12  |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
                13  |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
                14  |   .3265672   .0979723     3.33   0.001      .134545    .5185893
                21  |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
                22  |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
                23  |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
                24  |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
                25  |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
                31  |   .3896854   .1088369     3.58   0.000      .176369    .6030017
                32  |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
                33  |     .28514   .1104375     2.58   0.010     .0686866    .5015935
                34  |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
                35  |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
                36  |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
                37  |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
                40  |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
                41  |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
                42  |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
                43  |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
                44  |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
                45  |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
                46  |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
                47  |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
                48  |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
                49  |    .026546    .116572     0.23   0.820     -.201931     .255023
                51  |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
                52  |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
                53  |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
                54  |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
                56  |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
                61  |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
                62  |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
                63  |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
                64  |    .443744   .1256613     3.53   0.000     .1974523    .6900356
                65  |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
                66  |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
                67  |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
                68  |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
                71  |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
                72  |     .55665   .1067046     5.22   0.000     .3475129    .7657871
                73  |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
                    |
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr
                      34.stateicpsr 35.stateicpsr 36.stateicpsr 37.stateicpsr
                      40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr
                      44.stateicpsr 45.stateicpsr 46.stateicpsr 47.stateicpsr
                      48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr
                      53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr
                      62.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr
                      72.stateicpsr 73.stateicpsr
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iSUM3MO_DROUGHT3340 iAGRI_T73


Conley et al (2012)'s UCI results                     Number of obs =      3022
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  -.08725604      .0922593
ww1_awards_pop10_is.01604952.38384236
lpop30      -.0843707       .08853563
c30unemp    -1.0742483      .59701859
c30urban1   -.06340394      .09758594
c30farm     -.99692717      -.26954323
iYf_T29     -.07396192      .13200405
MEAN9628    -.00342566      .00458097
c30men      -3.1477949      1.0333062
c30black    -.4678575       .02172027
c30jap      -1.1614986      9.8819922
c30deu      -.00352686      1.1491926
c30ita      -1.4061828      1.3390506
c30vet      -2.6343937      2.0908147
lc40wage    .27787209       .56175024
iwarconpro_PC.2275351       .33245439
2.stateicpsr-.4085383       .73012756
3.stateicpsr-.36074968      .02009179
4.stateicpsr-.3566997       .57907205
5.stateicpsr-.40989519      -.07456462
6.stateicpsr-.22303807      .60854732
11.stateicpsr.07131691      .72621951
12.stateicpsr-.25279402     .14180338
13.stateicpsr-.14922142     .4807911
14.stateicpsr-.12255137     .56985301
21.stateicpsr-.20788591     .30485605
22.stateicpsr-.16867547     .21864249
23.stateicpsr-.1171061      .26866876
24.stateicpsr-.13380735     .22838926
25.stateicpsr-.175974       .24013535
31.stateicpsr.13848745      .76442568
32.stateicpsr-.0841427      .64678165
33.stateicpsr.0369348       .64204446
34.stateicpsr-.11075296     .26581948
35.stateicpsr.06012771      .84110724
36.stateicpsr-.2347795      1.1048234
37.stateicpsr-.2226708      .7294845
40.stateicpsr-.1767506      .650458
41.stateicpsr-.19098217     .38162804
42.stateicpsr-.60041079     .06060249
43.stateicpsr-.24746201     .46289636
44.stateicpsr-.35428871     .18054748
45.stateicpsr-.43724477     .14542504
46.stateicpsr-.34226748     .5146455
47.stateicpsr-.27794141     .35761675
48.stateicpsr-.66560824     .01394785
49.stateicpsr-.22374628     .28741869
51.stateicpsr-.57046084     .12122783
52.stateicpsr-.2587262      .25008185
53.stateicpsr-.14586009     .36662817
54.stateicpsr-.39421914     .29870781
56.stateicpsr-.3576192      .61414387
61.stateicpsr-.16129298     .45843952
62.stateicpsr-.07369978     .33586848
63.stateicpsr-.15740683     .47923934
64.stateicpsr.14692471      .99587894
65.stateicpsr-.16544902     .56953006
66.stateicpsr-.49223553     .15919988
67.stateicpsr-.2611598      .16529825
68.stateicpsr-.18207125     .75525123
71.stateicpsr-.26596928     .41653417
72.stateicpsr.33473382      .77692317
73.stateicpsr.18536526      .81825364
iAGRI_PF    -.02514428      .5189898
_cons       -2.1004069      3.5289617
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7E-conley2012-warbonds-committee.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     69.85
       Model |    172.0215        56  3.07181251   Prob > F        =    0.0000
    Residual |  99.9159688     2,272  .043977099   R-squared       =    0.6326
-------------+----------------------------------   Adj R-squared   =    0.6235
       Total |  271.937469     2,328  .116811628   Root MSE        =    .20971

-------------------------------------------------------------------------------------
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0329353   .0083139     3.96   0.000     .0166315     .049239
          iAGRI_T73 |   .0860219   .0111327     7.73   0.000     .0641906    .1078532
         ww1_vol_sh |   .1130801   .0217996     5.19   0.000     .0703309    .1558293
ww1_awards_pop10_is |   .1064834   .0506825     2.10   0.036     .0070946    .2058722
             lpop30 |  -.0145244   .0082033    -1.77   0.077    -.0306111    .0015623
           c30unemp |   .5222917   .1420893     3.68   0.000     .2436534    .8009301
          c30urban1 |   .0101617   .0127665     0.80   0.426    -.0148734    .0351969
            c30farm |  -.1258121   .0423238    -2.97   0.003    -.2088093   -.0428148
            iYf_T29 |  -.0164674   .0098385    -1.67   0.094    -.0357608     .002826
           MEAN9628 |  -.0004917   .0004753    -1.03   0.301    -.0014238    .0004403
             c30men |    -1.3743    .351594    -3.91   0.000    -2.063779   -.6848209
           c30black |  -.4260216   .0388196   -10.97   0.000    -.5021472   -.3498961
             c30jap |  -.0034897   1.301302    -0.00   0.998    -2.555353    2.548374
             c30deu |  -.7035296   .1512379    -4.65   0.000    -1.000108   -.4069508
             c30ita |  -.3215662   .2679866    -1.20   0.230    -.8470902    .2039578
             c30vet |   1.085309   .1834916     5.91   0.000     .7254802    1.445138
           lc40wage |   .1889381   .0277171     6.82   0.000     .1345847    .2432916
      iwarconpro_PC |  -.0347172   .0086234    -4.03   0.000    -.0516277   -.0178067
      _Istateicps_2 |  -.0702053   .0954058    -0.74   0.462    -.2572969    .1168863
      _Istateicps_3 |   .0247341   .0973812     0.25   0.800    -.1662313    .2156994
      _Istateicps_4 |   .1492547   .1035286     1.44   0.150    -.0537657    .3522752
      _Istateicps_5 |  -.0161633   .1201208    -0.13   0.893    -.2517213    .2193947
      _Istateicps_6 |   .2692791   .0970812     2.77   0.006      .078902    .4596563
     _Istateicps_11 |  -.1809559   .1441729    -1.26   0.210    -.4636802    .1017685
     _Istateicps_12 |  -.1024822   .0878975    -1.17   0.244    -.2748498    .0698855
     _Istateicps_13 |  -.0277511   .0808943    -0.34   0.732    -.1863856    .1308834
     _Istateicps_14 |  -.2546621   .0813438    -3.13   0.002     -.414178   -.0951463
     _Istateicps_21 |  -.0317785   .0842984    -0.38   0.706    -.1970884    .1335314
     _Istateicps_22 |  -.1439841   .0849745    -1.69   0.090    -.3106199    .0226518
     _Istateicps_23 |  -.1099444    .085426    -1.29   0.198    -.2774655    .0575768
     _Istateicps_24 |  -.1706729   .0839636    -2.03   0.042    -.3353262   -.0060196
     _Istateicps_25 |    .118393    .088197     1.34   0.180    -.0545621    .2913482
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1688699    .083393    -2.02   0.043    -.3324042   -.0053356
     _Istateicps_41 |   .0896781   .0858556     1.04   0.296    -.0786854    .2580416
     _Istateicps_42 |  -.3186556   .0861005    -3.70   0.000    -.4874995   -.1498116
     _Istateicps_43 |   .1917461   .0854844     2.24   0.025     .0241104    .3593818
     _Istateicps_44 |   .1642662   .0837045     1.96   0.050     .0001209    .3284114
     _Istateicps_45 |  -.1914406   .0853529    -2.24   0.025    -.3588184   -.0240628
     _Istateicps_46 |   .0885733   .0866192     1.02   0.307    -.0812878    .2584344
     _Istateicps_47 |  -.0283112   .0834311    -0.34   0.734    -.1919203    .1352978
     _Istateicps_48 |   .0094218   .0900176     0.10   0.917    -.1671035    .1859471
     _Istateicps_49 |   .4776769   .0830017     5.76   0.000     .3149099    .6404439
     _Istateicps_51 |  -.0061148    .083524    -0.07   0.942    -.1699062    .1576765
     _Istateicps_52 |  -.2977252   .0913509    -3.26   0.001    -.4768651   -.1185853
     _Istateicps_53 |   .0896009   .0868982     1.03   0.303    -.0808072     .260009
     _Istateicps_54 |   -.098141   .0836437    -1.17   0.241    -.2621671     .065885
     _Istateicps_56 |   .0517802   .0841166     0.62   0.538    -.1131733    .2167337
     _Istateicps_61 |  -.5359364   .1021256    -5.25   0.000    -.7362056   -.3356672
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1087596   .0900207    -1.21   0.227     -.285291    .0677718
     _Istateicps_64 |   .1455702   .0901229     1.62   0.106    -.0311616     .322302
     _Istateicps_65 |  -.1953069   .0982514    -1.99   0.047    -.3879787   -.0026351
     _Istateicps_66 |   .0516945   .0918894     0.56   0.574    -.1285015    .2318905
     _Istateicps_67 |  -.2577614   .0906807    -2.84   0.005     -.435587   -.0799357
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0065531   .0865809     0.08   0.940    -.1632327     .176339
     _Istateicps_72 |  -.2306826   .0906893    -2.54   0.011    -.4085252   -.0528401
     _Istateicps_73 |   .0274225   .0884837     0.31   0.757    -.1460949    .2009398
     _Istateicps_98 |          0  (omitted)
              _cons |   .2345152   .2861178     0.82   0.413    -.3265644    .7955947
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
                    |
         stateicpsr |
                 2  |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
                 3  |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
                 4  |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
                 5  |    .043889    .071236     0.62   0.538    -.0957311    .1835091
                 6  |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
                11  |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
                12  |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
                13  |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
                14  |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
                21  |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
                22  |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
                23  |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
                24  |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
                25  |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
                40  |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
                41  |    .168629   .0941446     1.79   0.073     -.015891     .353149
                42  |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
                43  |    .359333   .1030183     3.49   0.000     .1574208    .5612453
                44  |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
                45  |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
                46  |   .2923887   .0978264     2.99   0.003     .1006525     .484125
                47  |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
                48  |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
                49  |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
                51  |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
                52  |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
                53  |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
                54  |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
                56  |   .3277989    .117535     2.79   0.005     .0974344    .5581633
                61  |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
                63  |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
                64  |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
                65  |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
                66  |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
                67  |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
                71  |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
                72  |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
                73  |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
                    |
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iSUM3MO_DROUGHT3340 iAGRI_T73


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .03198208       .17802779
ww1_awards_pop10_is-.0842676.28377507
lpop30      -.03739508      .06638281
c30unemp    .12576922       1.3622461
c30urban1   -.06006195      .03285022
c30farm     -.30908728      .02837221
iYf_T29     -.14252227      .00462759
MEAN9628    -.00491396      .0006557
c30men      -2.493612       .01583561
c30black    -.52356469      -.24439861
c30jap      -2.9373455      4.0801524
c30deu      -1.2521257      -.33981167
c30ita      -.7238533       .58446213
c30vet      .35701837       1.6096919
lc40wage    .08332499       .27044108
iwarconpro_PC-.0579039      -.01282266
2.stateicpsr-.19468765      .46324229
3.stateicpsr-.13295375      .18985501
4.stateicpsr.02049106       .66487356
5.stateicpsr-.11460108      .19709547
6.stateicpsr.1528586        .67194339
11.stateicpsr-.3189367      .13062593
12.stateicpsr-.23548077     .16449371
13.stateicpsr-.11050442     .39637927
14.stateicpsr-.34397367     .17636504
21.stateicpsr-.2341541      .17138074
22.stateicpsr-.28022635     .07405276
23.stateicpsr-.20023797     .19140827
24.stateicpsr-.22191313     .11069155
25.stateicpsr-.02727307     .36150913
40.stateicpsr-.28925672     .25793581
41.stateicpsr-.04781604     .37181632
42.stateicpsr-.37985519     .03504688
43.stateicpsr.04756333      .59171243
44.stateicpsr.04399392      .42034425
45.stateicpsr-.30874318     .11499801
46.stateicpsr-.03131286     .5180187
47.stateicpsr-.14489643     .28552377
48.stateicpsr-.12819806     .34376943
49.stateicpsr.24415051      .64610692
51.stateicpsr-.10677392     .42253722
52.stateicpsr-.42481904     -.05346559
53.stateicpsr-.12403218     .31173101
54.stateicpsr-.21925468     .31446769
56.stateicpsr-.07179603     .60371766
61.stateicpsr-.66059115     -.23378032
63.stateicpsr-.32313369     .12556959
64.stateicpsr-.24588998     .38422964
65.stateicpsr-.35831711     .09005496
66.stateicpsr-.1583128      .25825948
67.stateicpsr-.39902507     -.03734933
71.stateicpsr-.3198303      .20864844
72.stateicpsr-.38815238     .01510105
73.stateicpsr-.14487997     .25077994
iAGRI_PF    -.05646205      .32128916
_cons       -2.6520187      1.1274388
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7F-conley2012-volunteers-committee.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =      9.39
       Model |  7.12516045        56  .127235008   Prob > F        =    0.0000
    Residual |  30.8015947     2,272   .01355704   R-squared       =    0.1879
-------------+----------------------------------   Adj R-squared   =    0.1678
       Total |  37.9267552     2,328  .016291562   Root MSE        =    .11643

-------------------------------------------------------------------------------------
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .0130534   .0046161     2.83   0.005     .0040012    .0221056
          iAGRI_T73 |   .0145801   .0061811     2.36   0.018     .0024588    .0267014
         ww1_vol_sh |   .0578215   .0121037     4.78   0.000     .0340861    .0815569
ww1_awards_pop10_is |   .0312307   .0281402     1.11   0.267    -.0239525    .0864139
             lpop30 |  -.0188978   .0045547    -4.15   0.000    -.0278295    -.009966
           c30unemp |   .1284953   .0788916     1.63   0.104    -.0262117    .2832024
          c30urban1 |   .0071167   .0070883     1.00   0.315    -.0067835    .0210169
            c30farm |   .0193387   .0234992     0.82   0.411    -.0267434    .0654209
            iYf_T29 |   .0177234   .0054626     3.24   0.001     .0070112    .0284355
           MEAN9628 |  -.0000508   .0002639    -0.19   0.848    -.0005683    .0004668
             c30men |  -.5675012   .1952138    -2.91   0.004    -.9503172   -.1846852
           c30black |  -.0510801   .0215536    -2.37   0.018    -.0933469   -.0088132
             c30jap |   .6928897   .7225154     0.96   0.338    -.7239693    2.109749
             c30deu |   .0579408   .0839711     0.69   0.490    -.1067272    .2226088
             c30ita |  -.0455644   .1487929    -0.31   0.759    -.3373485    .2462198
             c30vet |   .2649923   .1018792     2.60   0.009     .0652063    .4647782
           lc40wage |   .0524457   .0153892     3.41   0.001     .0222673    .0826241
      iwarconpro_PC |   .0046898   .0047879     0.98   0.327    -.0046994    .0140789
      _Istateicps_2 |  -.0479245   .0529717    -0.90   0.366    -.1518025    .0559534
      _Istateicps_3 |   -.005522   .0540685    -0.10   0.919    -.1115507    .1005068
      _Istateicps_4 |  -.0506043   .0574817    -0.88   0.379    -.1633264    .0621177
      _Istateicps_5 |   .0540974   .0666941     0.81   0.417    -.0766903    .1848851
      _Istateicps_6 |  -.0374051   .0539019    -0.69   0.488    -.1431072    .0682971
     _Istateicps_11 |  -.0499485   .0800484    -0.62   0.533    -.2069242    .1070272
     _Istateicps_12 |  -.0414974   .0488029    -0.85   0.395    -.1372003    .0542055
     _Istateicps_13 |  -.0313463   .0449146    -0.70   0.485    -.1194241    .0567316
     _Istateicps_14 |  -.0525687   .0451641    -1.16   0.245    -.1411359    .0359985
     _Istateicps_21 |  -.0672694   .0468046    -1.44   0.151    -.1590536    .0245148
     _Istateicps_22 |  -.0949741     .04718    -2.01   0.044    -.1874945   -.0024537
     _Istateicps_23 |  -.0692357   .0474307    -1.46   0.145    -.1622477    .0237763
     _Istateicps_24 |   -.054041   .0466187    -1.16   0.246    -.1454606    .0373787
     _Istateicps_25 |  -.1034816   .0489692    -2.11   0.035    -.1995106   -.0074525
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0324607   .0463019    -0.70   0.483     -.123259    .0583377
     _Istateicps_41 |  -.0312623   .0476692    -0.66   0.512     -.124742    .0622173
     _Istateicps_42 |  -.0732262   .0478052    -1.53   0.126    -.1669726    .0205202
     _Istateicps_43 |  -.0015287   .0474631    -0.03   0.974    -.0946043    .0915469
     _Istateicps_44 |  -.0422803   .0464748    -0.91   0.363    -.1334179    .0488573
     _Istateicps_45 |  -.0372826   .0473901    -0.79   0.432    -.1302149    .0556498
     _Istateicps_46 |  -.0201272   .0480932    -0.42   0.676    -.1144383    .0741839
     _Istateicps_47 |   -.047039    .046323    -1.02   0.310    -.1378789    .0438008
     _Istateicps_48 |  -.0416117     .04998    -0.83   0.405     -.139623    .0563996
     _Istateicps_49 |  -.0120568   .0460846    -0.26   0.794    -.1024291    .0783155
     _Istateicps_51 |  -.0550907   .0463746    -1.19   0.235    -.1460317    .0358504
     _Istateicps_52 |  -.0315381   .0507203    -0.62   0.534    -.1310011    .0679249
     _Istateicps_53 |   -.039367   .0482481    -0.82   0.415    -.1339818    .0552479
     _Istateicps_54 |  -.0547425   .0464411    -1.18   0.239    -.1458139    .0363288
     _Istateicps_56 |  -.0370984   .0467037    -0.79   0.427    -.1286847     .054488
     _Istateicps_61 |   .0067279   .0567027     0.12   0.906    -.1044666    .1179224
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   -.018745   .0499818    -0.38   0.708    -.1167597    .0792697
     _Istateicps_64 |   .1007132   .0500385     2.01   0.044     .0025873    .1988392
     _Istateicps_65 |  -.0112761   .0545516    -0.21   0.836    -.1182523    .0957001
     _Istateicps_66 |  -.0235089   .0510193    -0.46   0.645    -.1235582    .0765404
     _Istateicps_67 |  -.0134042   .0503482    -0.27   0.790    -.1121375    .0853291
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0618464   .0480719     1.29   0.198     -.032423    .1561158
     _Istateicps_72 |  -.0404986    .050353    -0.80   0.421    -.1392413    .0582441
     _Istateicps_73 |   .0128091   .0491284     0.26   0.794    -.0835321    .1091503
     _Istateicps_98 |          0  (omitted)
              _cons |   .1792331   .1588598     1.13   0.259    -.1322924    .4907586
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
                    |
         stateicpsr |
                 2  |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
                 3  |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
                 4  |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
                 5  |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
                 6  |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
                11  |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
                12  |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
                13  |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
                14  |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
                21  |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
                22  |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
                23  |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
                24  |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
                25  |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
                40  |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
                41  |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
                42  |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
                43  |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
                44  |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
                45  |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
                46  |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
                47  |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
                48  |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
                49  |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
                51  |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
                52  |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
                53  |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
                54  |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
                56  |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
                61  |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
                63  |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
                64  |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
                65  |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
                66  |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
                67  |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
                71  |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
                72  |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
                73  |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
                    |
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iSUM3MO_DROUGHT3340 iAGRI_T73


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .01486673       .09563052
ww1_awards_pop10_is-.05054773.10764623
lpop30      -.04065         .01850065
c30unemp    -.15715523      .50788486
c30urban1   -.01533888      .01649793
c30farm     -.04371541      .0735069
iYf_T29     -.02299738      .02938447
MEAN9628    -.00140313      .00045285
c30men      -.98915861      -.10977274
c30black    -.08514172      .00807111
c30jap      -1.6798644      3.3636374
c30deu      -.23300108      .29892465
c30ita      -.36799938      .41992189
c30vet      .00086442       .46499304
lc40wage    .00524538       .09153626
iwarconpro_PC-.00460466     .01363058
2.stateicpsr-.07739633      .08898004
3.stateicpsr-.03667928      .0288242
4.stateicpsr-.07943848      .08397793
5.stateicpsr.03437608       .10146551
6.stateicpsr-.08069595      .08832986
11.stateicpsr-.07797104     .00885866
12.stateicpsr-.06159328     .01072589
13.stateicpsr-.03936685     .07555052
14.stateicpsr-.06253353     .05716793
21.stateicpsr-.1281586      .01298459
22.stateicpsr-.12809406     -.01135156
23.stateicpsr-.09814024     .03464773
24.stateicpsr-.07090261     .03706326
25.stateicpsr-.16596343     .0053697
40.stateicpsr-.05423835     .07544363
41.stateicpsr-.06149583     .03483266
42.stateicpsr-.07856534     .02107427
43.stateicpsr-.04199069     .11421934
44.stateicpsr-.07698198     .02718627
45.stateicpsr-.06487284     .04317092
46.stateicpsr-.03686795     .08982627
47.stateicpsr-.07077577     .02772847
48.stateicpsr-.07067361     .0399091
49.stateicpsr-.07219555     .03692909
51.stateicpsr-.06133628     .04606373
52.stateicpsr-.08230742     .0479788
53.stateicpsr-.07557922     .02833501
54.stateicpsr-.06611906     .04403999
56.stateicpsr-.04447299     .09838087
61.stateicpsr-.04780757     .12177437
63.stateicpsr-.08676613     .08882015
64.stateicpsr-.06040527     .24637634
65.stateicpsr-.08398965     .126196
66.stateicpsr-.08242        .06042393
67.stateicpsr-.06155479     .08744095
71.stateicpsr-.06722786     .16986166
72.stateicpsr-.11073093     .0680762
73.stateicpsr-.03984835     .09684939
iAGRI_PF    .00217477       .07888071
_cons       -.59108391      .41552835
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7G-conley2012-medals-committee.pdf written in PDF format)
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

      Source |       SS           df       MS      Number of obs   =     2,329
-------------+----------------------------------   F(56, 2272)     =     76.28
       Model |   2400.7621        56  42.8707517   Prob > F        =    0.0000
    Residual |  1276.97633     2,272  .562049443   R-squared       =    0.6528
-------------+----------------------------------   Adj R-squared   =    0.6442
       Total |  3677.73843     2,328  1.57978455   Root MSE        =     .7497

-------------------------------------------------------------------------------------
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
iSUM3MO_DROUGHT3340 |   .2109929   .0297222     7.10   0.000     .1527074    .2692784
          iAGRI_T73 |   .2513821   .0397992     6.32   0.000     .1733356    .3294286
         ww1_vol_sh |   .4736309   .0779331     6.08   0.000     .3208033    .6264584
ww1_awards_pop10_is |   .5113822   .1811891     2.82   0.005     .1560689    .8666955
             lpop30 |  -.1769056   .0293266    -6.03   0.000    -.2344153   -.1193959
           c30unemp |   1.189226   .5079668     2.34   0.019     .1930984    2.185353
          c30urban1 |   .1427418     .04564     3.13   0.002     .0532414    .2322422
            c30farm |  -.5731335   .1513067    -3.79   0.000    -.8698473   -.2764198
            iYf_T29 |   .1451992   .0351725     4.13   0.000     .0762257    .2141728
           MEAN9628 |   .0027565   .0016992     1.62   0.105    -.0005757    .0060886
             c30men |  -6.829491   1.256943    -5.43   0.000    -9.294367   -4.364616
           c30black |  -1.193905   .1387794    -8.60   0.000    -1.466053   -.9217575
             c30jap |   7.898893   4.652131     1.70   0.090    -1.223976    17.02176
             c30deu |  -.0100055   .5406728    -0.02   0.985    -1.070269    1.050258
             c30ita |  -1.096473   .9580475    -1.14   0.253    -2.975212    .7822668
             c30vet |   3.818315   .6559795     5.82   0.000     2.531933    5.104696
           lc40wage |   .9745861   .0990881     9.84   0.000     .7802734    1.168899
      iwarconpro_PC |   .2301377   .0308284     7.47   0.000     .1696829    .2905924
      _Istateicps_2 |  -.5157156   .3410741    -1.51   0.131    -1.184565    .1531337
      _Istateicps_3 |  -.1242735   .3481361    -0.36   0.721    -.8069713    .5584244
      _Istateicps_4 |  -.1230119   .3701129    -0.33   0.740    -.8488065    .6027827
      _Istateicps_5 |  -.1389388   .4294299    -0.32   0.746    -.9810546     .703177
      _Istateicps_6 |   .2556518   .3470637     0.74   0.461    -.4249432    .9362467
     _Istateicps_11 |  -.2587251   .5154157    -0.50   0.616     -1.26946    .7520096
     _Istateicps_12 |  -.4482357   .3142319    -1.43   0.154    -1.064447    .1679758
     _Istateicps_13 |  -.3249377   .2891958    -1.12   0.261    -.8920532    .2421779
     _Istateicps_14 |  -.7226172   .2908026    -2.48   0.013    -1.292884   -.1523507
     _Istateicps_21 |   -.396342   .3013653    -1.32   0.189    -.9873221     .194638
     _Istateicps_22 |  -.8164935   .3037826    -2.69   0.007    -1.412214   -.2207733
     _Istateicps_23 |  -.6738436   .3053965    -2.21   0.027    -1.272729   -.0749583
     _Istateicps_24 |  -.7474275   .3001684    -2.49   0.013     -1.33606   -.1587947
     _Istateicps_25 |  -.3973951   .3153029    -1.26   0.208    -1.015707    .2209166
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |    -.43819   .2981284    -1.47   0.142    -1.022822    .1464423
     _Istateicps_41 |   .0198547   .3069322     0.06   0.948    -.5820419    .6217514
     _Istateicps_42 |  -1.371677    .307808    -4.46   0.000    -1.975291   -.7680633
     _Istateicps_43 |   .2030777   .3056054     0.66   0.506    -.3962171    .8023725
     _Istateicps_44 |  -.0744048   .2992422    -0.25   0.804    -.6612213    .5124117
     _Istateicps_45 |  -.7610023   .3051352    -2.49   0.013    -1.359375   -.1626295
     _Istateicps_46 |  -.1379095   .3096623    -0.45   0.656      -.74516    .4693409
     _Istateicps_47 |  -.3639807   .2982646    -1.22   0.222    -.9488803    .2209188
     _Istateicps_48 |   -.632361   .3218114    -1.97   0.050    -1.263436   -.0012861
     _Istateicps_49 |   .7878648   .2967296     2.66   0.008     .2059755    1.369754
     _Istateicps_51 |  -.6390116    .298597    -2.14   0.032    -1.224563   -.0534603
     _Istateicps_52 |  -.7073435   .3265779    -2.17   0.030    -1.347766   -.0669213
     _Istateicps_53 |  -.0857699   .3106596    -0.28   0.783     -.694976    .5234362
     _Istateicps_54 |  -.6600734   .2990248    -2.21   0.027    -1.246464   -.0736831
     _Istateicps_56 |  -.3088694   .3007156    -1.03   0.304    -.8985752    .2808365
     _Istateicps_61 |  -.9909381   .3650973    -2.71   0.007    -1.706897   -.2749791
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.3023885   .3218226    -0.94   0.348    -.9334854    .3287084
     _Istateicps_64 |   1.103207   .3221878     3.42   0.001     .4713944    1.735021
     _Istateicps_65 |  -.4237959   .3512469    -1.21   0.228    -1.112594    .2650023
     _Istateicps_66 |  -.2882373   .3285032    -0.88   0.380    -.9324349    .3559603
     _Istateicps_67 |  -.7303856    .324182    -2.25   0.024    -1.366109   -.0946618
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .3768838   .3095252     1.22   0.223    -.2300978    .9838653
     _Istateicps_72 |  -.2444381   .3242128    -0.75   0.451    -.8802222     .391346
     _Istateicps_73 |   .3932247   .3163278     1.24   0.214    -.2270969    1.013546
     _Istateicps_98 |          0  (omitted)
              _cons |  -2.061414   1.022866    -2.02   0.044    -4.067264   -.0555641
-------------------------------------------------------------------------------------

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
                    |
         stateicpsr |
                 2  |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
                 3  |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
                 4  |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
                 5  |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
                 6  |   1.057225   .3504723     3.02   0.003      .370312    1.744138
                11  |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
                12  |    -.17893    .221375    -0.81   0.419     -.612817     .254957
                13  |    .631846    .265768     2.38   0.017     .1109504    1.152742
                14  |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
                21  |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
                22  |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
                23  |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
                24  |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
                25  |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
                40  |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
                41  |    .366587    .254237     1.44   0.149    -.1317085    .8648824
                42  |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
                43  |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
                44  |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
                45  |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
                46  |   .7896323   .2820737     2.80   0.005      .236778    1.342487
                47  |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
                48  |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
                49  |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
                51  |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
                52  |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
                53  |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
                54  |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
                56  |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
                61  |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
                63  |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
                64  |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
                65  |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
                66  |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
                67  |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
                71  |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
                72  |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
                73  |   .6408049    .282687     2.27   0.023     .0867487    1.194861
                    |
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC 2.stateicpsr
                      3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr
                      11.stateicpsr 12.stateicpsr 13.stateicpsr 14.stateicpsr
                      21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr
                      25.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr
                      43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
                      47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr
                      52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr
                      61.stateicpsr 63.stateicpsr 64.stateicpsr 65.stateicpsr
                      66.stateicpsr 67.stateicpsr 71.stateicpsr 72.stateicpsr
                      73.stateicpsr
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
------------------------------------------------------------------------------
Estimating Conely et al.'s uci method
Exogenous variables: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1 c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu c30ita c30v
> et lc40wage iwarconpro_PC 1b.stateicpsr 2.stateicpsr 3.stateicpsr 4.stateicpsr 5.stateicpsr 6.stateicpsr 11.stateicpsr 12.stateicpsr 13.statei
> cpsr 14.stateicpsr 21.stateicpsr 22.stateicpsr 23.stateicpsr 24.stateicpsr 25.stateicpsr 31.stateicpsr 32.stateicpsr 33.stateicpsr 34.stateicp
> sr 35.stateicpsr 36.stateicpsr 37.stateicpsr 40.stateicpsr 41.stateicpsr 42.stateicpsr 43.stateicpsr 44.stateicpsr 45.stateicpsr 46.stateicpsr
>  47.stateicpsr 48.stateicpsr 49.stateicpsr 51.stateicpsr 52.stateicpsr 53.stateicpsr 54.stateicpsr 56.stateicpsr 61.stateicpsr 62.stateicpsr 6
> 3.stateicpsr 64.stateicpsr 65.stateicpsr 66.stateicpsr 67.stateicpsr 68.stateicpsr 71.stateicpsr 72.stateicpsr 73.stateicpsr 98.stateicpsr
Endogenous variables: iAGRI_PF
Instruments: iSUM3MO_DROUGHT3340 iAGRI_T73


Conley et al (2012)'s UCI results                     Number of obs =      2329
------------------------------------------------------------------------------
Variable    Lower Bound     Upper Bound
------------------------------------------------------------------------------
ww1_vol_sh  .14366877       .71940594
ww1_awards_pop10_is-.09558581.0316881
lpop30      -.25952448      .16216663
c30unemp    -.40904231      4.4925803
c30urban1   -.12867073      .20353242
c30farm     -1.2876154      -.00441131
iYf_T29     -.34772171      .15942188
MEAN9628    -.0137566       .00491938
c30men      -10.14647       -2.6293519
c30black    -1.4749729      -.49202836
c30jap      -3.466135       25.053703
c30deu      -2.2371452      1.3112427
c30ita      -2.7446722      3.0541873
c30vet      1.3231136       5.2462843
lc40wage    .5573886        1.2595346
iwarconpro_PC.13284727      .32158494
2.stateicpsr-.63343031      1.4877202
3.stateicpsr-.57898544      .38178706
4.stateicpsr-.29517066      1.7213329
5.stateicpsr-.31747348      .54948101
6.stateicpsr.03027177       1.8434856
11.stateicpsr-.55449908     .792977
12.stateicpsr-.61753285     .30438083
13.stateicpsr-.2594005      1.2523461
14.stateicpsr-.69150843     .87015017
21.stateicpsr-.91452985     .39142941
22.stateicpsr-.99376357     .09845687
23.stateicpsr-.66186526     .55194035
24.stateicpsr-.61404283     .40463051
25.stateicpsr-.68006988     .60634232
40.stateicpsr-.55270237     1.0950794
41.stateicpsr-.23860645     .92313035
42.stateicpsr-1.2544118     -.00055586
43.stateicpsr-.01315163     1.6181345
44.stateicpsr-.33289616     .80931907
45.stateicpsr-.92410482     .31452323
46.stateicpsr-.24395948     1.4485173
47.stateicpsr-.57526705     .76880684
48.stateicpsr-.84419617     .50104657
49.stateicpsr.0608573       1.3070706
51.stateicpsr-.4864106      .8251783
52.stateicpsr-1.0742062     .18468317
53.stateicpsr-.47100603     .7420699
54.stateicpsr-.67089225     .78303721
56.stateicpsr-.31453636     1.7477687
61.stateicpsr-1.2118191     .26890107
63.stateicpsr-.77839436     .71572737
64.stateicpsr-.16016094     2.106217
65.stateicpsr-.69497556     .80010796
66.stateicpsr-.7774038      .52027855
67.stateicpsr-.9530099      .24064277
71.stateicpsr-.73219813     1.0807486
72.stateicpsr-.64226072     .77045615
73.stateicpsr.03972889      1.2507043
iAGRI_PF    .04083307       1.1883181
_cons       -12.366521      -.52376312
------------------------------------------------------------------------------
number of observations (_N) was 0, now 3
(note:  named style large not found in class linewidth, default attributes used)
(note:  linewidth not found in scheme, default attributes used)
(file results/figures/AppFig7H-conley2012-pca-committee.pdf written in PDF format)

. 
. 
. /*
> ***************************************************************************************************
> ****         Fig 8. Plausibly Exogenous (Conley et al. 2012): ASN                                  ****
> ***************************************************************************************************
> 
> use "tmp/asn", clear
> 
> qui reghdfe vol  iAAA_PF_farmer iAAA_PF_farmhand   iSUM3MO_DROUGHT3340_farmer iSUM3MO_DROUGHT3340_farmhand   iAGRI_T73_farmer       iAGRI_T73_
> farmhand                              farmer farmhand $controls_asn                        , absorb(countyn)
> gen insample = e(sample) == 1
> 
> local level 0.9
> foreach instrument in iSUM3MO_DROUGHT3340_farmer  iAGRI_T73_farmer{
>         if "`instrument'" == "iAGRI_T73_farmer"           local instrument_title committee
>         if "`instrument'" == "iAGRI_T73_farmer"           local explanation      "Tenure in Agriculture committee (i.h.s.): 1933-35 {c 215} fa
> rmer"
>         if "`instrument'" == "iAGRI_T73_farmer"           local ivs              "iSUM3MO_DROUGHT3340_farmer iAGRI_T73_farmer"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer" local instrument_title drought
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer" local explanation      "Summer droughts (i.h.s.): 1933-40 {c 215} farmer"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer" local ivs              "iAGRI_T73_farmer iSUM3MO_DROUGHT3340_farmer"
>         
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer"               local           title "B. Farmer"
>         if "`instrument'" == "iAGRI_T73_farmer"                                 local           title "E. Farmer"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer"               local           lettr "B"
>         if "`instrument'" == "iAGRI_T73_farmer"                                 local           lettr "E"
>                 
>                                                                                                                                         local 
>           gn 0.75
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer"                           local           gx 1.7
>         if "`instrument'" == "iAGRI_T73_farmer"                                                 local           gx 4
>                 
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmer"                               local           rxt 50
>         if  "`instrument'" == "iAGRI_T73_farmer"                                                local           rxt 130
>                 
>                 xi: reghdfe vol `ivs' farmer $controls_asn                      if insample == 1, cluster(countyn) absorb(countyn)
>                 local b  = _b[`instrument']
>                 local gn = -1 * `gn' * `b'
>                 local gx =      `gx' * `b'
>                 
>                 
>                 
>                 ivreghdfe  vol (iAGRI_PF_farmer = `ivs') farmer $controls_asn     if insample == 1, cluster(countyn) absorb(countyn)
>                 local CI  = -invnormal((1 - `level')/2)
>                 local liv = _b[iAGRI_PF_farmer] - `CI'*_se[iAGRI_PF_farmer]
>                 local uiv = _b[iAGRI_PF_farmer] + `CI'*_se[iAGRI_PF_farmer]
> 
>                 plausexog uci vol $controls_asn farmer (iAGRI_PF_farmer = `ivs') i.countyn if insample == 1, vce(cluster countyn) gmin(0 `gn')
>  gmax(0 `gx') level(`level'*100)
>                 
>                 preserve
>                         clear
>                         set obs 3
>                         gen x   = cond(_n == 1,        -10 , ///
>                                   cond(_n == 2,         0   , ///
>                                           cond(_n == 3,        `rxt' ,.)))
>                         gen lci = cond(_n == 1,        `liv', ///
>                                   cond(_n == 2,        `liv', ///
>                                           cond(_n == 3,e(lb_iAGRI_PF_farmer),.)))
>                         gen uci = cond(_n == 1,e(ub_iAGRI_PF_farmer), ///
>                                   cond(_n == 2,        `uiv', ///
>                                           cond(_n == 3,        `uiv',.)))
>                                           
>                         twoway (line lci x, lpattern(dash) lcolor(black)) ///
>                                (line uci x, lpattern(dash) lcolor(black)), ytitle("Estimated {&beta} for agri support {c 215} farmer") xtitle(
> {&delta}) xline(`b', lcolor(blue)) yline(0, lcolor(red))          ///
>                                                                                ylabel(, angle(0)) xlabel(-10(10)`rxt')                        
>                  ///
>                                                                                                                            legend(order(1 "Uni
> on of confidence intervals")) title(`title', size(huge)) note(Instrument is: `explanation'.)  graphregion(color(white) lwidth(large)) scheme(s
> 1color)
>                 
>                 graph export "results/figures/AppFig8`lettr'-conley2012-agri_farmer-`instrument_title'.pdf", replace as(pdf)
>                 restore
>         } /* foreach instrument */      
> 
> 
> local level 0.9
> foreach instrument in iSUM3MO_DROUGHT3340_farmhand iAGRI_T73_farmhand {
>         estimates clear
>         if "`instrument'" == "iAGRI_T73_farmhand"             local instrument_title committee
>         if "`instrument'" == "iAGRI_T73_farmhand"             local explanation      "Tenure in Agriculture committee (i.h.s.): 1933-35 {c 215
> } farm-hand"
>         if "`instrument'" == "iAGRI_T73_farmhand"             local ivs              "iSUM3MO_DROUGHT3340_farmhand iAGRI_T73_farmhand"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"   local instrument_title drought
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"   local explanation      "Summer droughts (i.h.s.): 1933-40 {c 215} farm-hand"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"   local ivs              "iAGRI_T73_farmhand iSUM3MO_DROUGHT3340_farmhand"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"   local title                        "C. Farm-hand"
>     if "`instrument'" == "iAGRI_T73_farmhand"                     local title                    "F. Farm-hand"
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"   local lettr                        "C"
>     if "`instrument'" == "iAGRI_T73_farmhand"                     local lettr                    "F"
>         
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"                                                                                   
>                                   local           gn 1.3
>         if  "`instrument'" == "iAGRI_T73_farmhand"                                                                                            
>                                           local           gn 1.3
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"                                                                                   
>                                   local           gx 2
>         if  "`instrument'" == "iAGRI_T73_farmhand"                                                                                            
>                                           local           gx 8
>         if "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"                                                                                   
>                                   local           rxt 60
>         if  "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"                                                                                  
>                                   local           rnt -40
>         if  "`instrument'" == "iSUM3MO_DROUGHT3340_farmhand"                                                                                  
>                                   local           snt 10
>         if  "`instrument'" == "iAGRI_T73_farmhand"                                                                                            
>                                           local           rnt -40
>         if  "`instrument'" == "iAGRI_T73_farmhand"                                                                                            
>                                           local           rxt 180
>         if  "`instrument'" == "iAGRI_T73_farmhand"                                                                                            
>                                           local           snt 20
>                 
>                 xi: reghdfe vol `ivs' farmhand $controls_asn                      if insample == 1, cluster(countyn) absorb(countyn)
>                 local b  =  _b[`instrument']
>                 local gn =   `gn' * `b'
>                 local gx =  -1 * `gx' * `b'
>                 
>                 ivreghdfe vol (iAGRI_PF_farmhand = `ivs') farmhand $controls_asn if insample == 1, absorb(countyn) cluster(countyn)
>                 local CI  = -invnormal((1 - `level')/2)
>                 local liv = _b[iAGRI_PF_farmhand] - `CI'*_se[iAGRI_PF_farmhand]
>                 local uiv = _b[iAGRI_PF_farmhand] + `CI'*_se[iAGRI_PF_farmhand]
>                 
>                 plausexog uci vol $controls_asn farmhand (iAGRI_PF_farmhand = `ivs') i.countyn if insample == 1, vce(cluster countyn) gmin(0 `
> gn') gmax(0 `gx') level(0.9)
>                 
>                 local lplaus = min( e(lb_iAGRI_PF_farmhand), e(ub_iAGRI_PF_farmhand))
>                 local uplaus = max(e(lb_iAGRI_PF_farmhand), e(ub_iAGRI_PF_farmhand))
>                 
>                 local lower1 = max(`liv', `lplaus')
>                 local lower3 = min(`liv', `lplaus')
>                 
>                 local upper1 = max(`uiv', `uplaus')
>                 local upper2 = min(`uiv', `uplaus')
>                 
>                 preserve
>                         clear
>                         set obs 3
>                         gen x   = cond(_n == 1,        -40 , ///
>                                   cond(_n == 2,         0   , ///
>                                           cond(_n == 3,        8,.)))
>                         gen lci = cond(_n == 1,      `lower1', ///
>                                   cond(_n == 2,      `lower1', ///
>                                           cond(_n == 3,          `lower3',.)))
>                         gen uci = cond(_n == 1,         `upper1', ///
>                                   cond(_n == 2,      `upper2', ///
>                                           cond(_n == 3,      `upper2',.)))
>                                           
>                         twoway (line lci x, lpattern(dash) lcolor(black)) ///
>                                (line uci x, lpattern(dash) lcolor(black)), ytitle("Estimated {&beta} for agri support {c 215} farm-hand") xtit
> le({&delta}) xline(`b', lcolor(blue)) yline(0, lcolor(red))                 ///
>                                                                                ylabel(, angle(0)) xlabel(-40 (5) 5)     ///
>                                                                                                                            legend(order(1 "Uni
> on of confidence intervals")) title(`title', size(huge)) note(Instrument is: `explanation'.)  graphregion(color(white) lwidth(large)) scheme(s
> 1color)
>                 
>                 graph export "results/figures/AppFig8`lettr'-conley2012-agri_farmhand-`instrument_title'.pdf", replace as(pdf)
>                 restore
>         } /* foreach instrument */      
>         
>         
> */
. ***************************************************************************************************
. ****         Fig 9. Matching Exercises                                                             ****
. ***************************************************************************************************
. 
. xtile  nd_med = iNDEXP_PC, n(2)

. gen nd_m = cond(nd_med == 2,1,0) if nd_med != .
(2 missing values generated)

. cem ww1_vol_sh (0 .2875817 1) c30unemp (0 .0505954 1) c30urban MEAN9628          ///
>         (0 45 55 100) stateicpsr (#0) if nd_med != ., treatment(nd_m)

Matching Summary:
-----------------
Number of strata: 542
Number of matched strata: 196

              0     1
      All  1534  1534
  Matched  1110   955
Unmatched   424   579


Multivariate L1 distance: .92110308

Univariate imbalance:

                  L1      mean       min       25%       50%       75%       max
ww1_vol_sh    .06895    .00724         0    .00948    .00237    .01248         .
  c30unemp    .17961    .00519   -.00204   -.00269    .00368     .0134     .2095
  c30urban   1.3e-15  -1.7e-15         0         0         0         0         0
  MEAN9628    .07894   -.05103   -2.4055   -.25573   -.56105   -.03626   -1.8424
stateicpsr   2.3e-15   7.1e-15         0         0         0         0         0

. for VAR in var cem_strata cem_matched cem_weights : ren VAR nd_VAR

->  ren cem_strata nd_cem_strata

->  ren cem_matched nd_cem_matched

->  ren cem_weights nd_cem_weights

. 
. 
. loc depvars iwarbond_1944_PC ww2_vol_pop40 ww2_awards_pop40_is pc1

. loc specs ols bor entr cem nn

. 
. loc k = 1

. foreach depvar in `depvars' {
  2. 
.         *Define regression conditions
.         if `k' == 1     loc cond
  3.         if `k' >= 2 loc cond "& servicecommand != 7"
  4. 
.         *Run ols, store results
.         reg `depvar' iNDEXP_PC $control if sample_ols == 1 `cond', robust
  5.         loc ols_`depvar'_b = _b[iNDEXP_PC]
  6.         loc ols_`depvar'_se = _se[iNDEXP_PC]
  7.         
.         *Run entropy matching, store results
.         reg `depvar' iNDEXP_PC $control [aw=wiNDEXP_PC]                                                  ///
>                 if sample_ols == 1 `cond', robust
  8.         loc entr_`depvar'_b = _b[iNDEXP_PC]
  9.         loc entr_`depvar'_se = _se[iNDEXP_PC]
 10. 
.         *Run CEM, store results
.         reg `depvar' iNDEXP_PC $control                                                                                  ///
>                 if sample_ols == 1 `cond' & nd_cem_match == 1, robust
 11.         loc cem_`depvar'_b = _b[iNDEXP_PC]
 12.         loc cem_`depvar'_se = _se[iNDEXP_PC]
 13. 
.         *Run Border FE, store results
.         reg `depvar' iNDEXP_PC $control_nofe  i.closestbor_n                                     ///
>                 if (sample_ols == 1 `cond' &                                                                             ///
>                         (bor_n != . | dist2stateborder < 75)),                                                   ///
>                 robust
 14.         loc bor_`depvar'_b = _b[iNDEXP_PC]
 15.         loc bor_`depvar'_se = _se[iNDEXP_PC]
 16.                 
.         *Run nearest neighbor, store results    
.         nnmatch `depvar' nd_m lat_nd lon_nd ww1_vol_sh lpop30                                    ///
>                 if sample_ols == 1 `cond',                                                                                       ///
>                 m(3) tc(att) exact(statei c30urban1)
 17.         loc nn_`depvar'_b = _b[SATT]
 18.         loc nn_`depvar'_se = _se[SATT]
 19.         
.         *Draw coefplots
.         
.         preserve
 20.                 clear
 21.                 set obs 5
 22.                 gen spec = .
 23.                 gen bhat = .
 24.                 gen ster = .
 25.                 gen upci = .
 26.                 gen loci = .
 27.                 loc j    = 0
 28.                 
.                 *Store estimates, se; calculate 95% CI
.                 foreach spec in `specs' {
 29.                         
.                         loc j = `j' + 1
 30.                         
.                         qui replace spec = `j'                                    if _n == `j'
 31.                         qui replace bhat = ``spec'_`depvar'_b'    if _n == `j'
 32.                         qui replace ster = ``spec'_`depvar'_se'   if _n == `j'
 33.                         qui replace upci = bhat + 1.645 * ster    if _n == `j'
 34.                         qui replace loci = bhat - 1.645 * ster    if _n == `j'
 35. 
.                 } /* foreach spec */
 36.                 
.                 foreach sta in bhat ster upci loci {
 37.                         qui separate `sta', by(spec)
 38.                 } /*foreach sta */
 39.                 
.                 *Label models
.                 lab def slab 1 "OLS" 2 "Borders" 3 "Entropy" 4 "CEM" 5 "NN Match"
 40.                 lab val spec slab
 41.                 
.                 *Define graph title
.                 if `k' == 1 loc tit = "A. War Bonds"
 42.                 if `k' == 2 loc tit = "B. Volunteers"
 43.                 if `k' == 3 loc tit = "C. Medals"
 44.                 if `k' == 4 loc tit = "D. PCA"
 45.                 
.                 *Define graph range
.                 qui su upci
 46.                 loc yurn = `r(max)' + 0.01
 47.                 
.                 qui su loci
 48.                 loc ylrn =  min(`r(min)' - 0.01,0)
 49.                         
.                 *Plot graph
.                 twoway ///
>                         (scatter bhat1 spec if spec == 1, mcolor(dkgreen) mfcolor(none)  ///
>                                 msize(medlarge) msymbol(o))                                                                      ///
>                         (scatter bhat2 spec if spec == 2, mcolor(dknavy) mfcolor(none)   ///
>                                 msize(medlarge) msymbol(o))                                                                      ///
>                         (scatter bhat3 spec if spec == 3, mcolor(cranberry)                              ///
>                                 mfcolor(none) msize(medlarge) msymbol(o))                                        ///
>                         (scatter bhat4 spec if spec == 4, mcolor(dkorange) mfcolor(none) ///
>                                 msize(medlarge) msymbol(o))                                                                      ///
>                         (scatter bhat5 spec if spec == 5, mcolor(teal) mfcolor(none)     ///
>                                 msize(medlarge) msymbol(o))                                                                      ///
>                         (rcap upci1 loci1 spec if spec == 1, blwidth(medthin)                    ///
>                                         blpattern(solid) blcolor(dkgreen))                                               ///
>                         (rcap upci2 loci2 spec if spec == 2, blwidth(medthin)                    ///
>                                         blpattern(solid) blcolor(dknavy))                                                ///
>                         (rcap upci3 loci3 spec if spec == 3, blwidth(medthin)                    ///
>                                         blpattern(solid) blcolor(cranberry))                                     ///
>                         (rcap upci4 loci4 spec if spec == 4, blwidth(medthin)                    ///
>                                         blpattern(solid) blcolor(dkorange))                                              ///
>                         (rcap upci5 loci5 spec if spec == 5, blwidth(medthin)                    ///
>                                         blpattern(solid) blcolor(teal)),                                                 ///
>                         xlabel(none) xtitle("")                                                                                  ///          
>                           
>                         yscale(range(`ylrn' `yurn')) ylabel(#6, format(%3.2f)                    ///
>                                 angle(0) labsize(*1.4))                                                                          ///
>                         yline(0, lpattern(solid) lwidth(vthin) lcolor(red))                              ///
>                         title("`tit'", size(medlarge))                                   ///
>                         legend(order(1 "OLS (full sample)" 2 "Border FEs (border counties)" ///
>                                 3 "Entropy" 4 "CEM" 5 "NN Match")                                        ///
>                                 title("Estimator:"))                                                                             ///
>                         plotregion(fcolor(white)) graphregion(color(white))                          ///
>                         scheme(s1manual) name(g`k', replace)
 50.         restore
 51.         
.         loc k = `k' + 1
 52. } /* foraech depvar */

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      95.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6500
                                                Root MSE          =     .40435

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1913998   .0240857     7.95   0.000     .1441734    .2386262
         ww1_vol_sh |  -.0037429   .0360486    -0.10   0.917    -.0744257      .06694
ww1_awards_pop10_is |   .2400123   .0841721     2.85   0.004     .0749704    .4050542
             lpop30 |  -.0296454   .0256091    -1.16   0.247    -.0798588    .0205681
           c30unemp |  -.7161748   .2732509    -2.62   0.009    -1.251956   -.1803935
          c30urban1 |   .0752111   .0247794     3.04   0.002     .0266244    .1237978
            c30farm |  -.4194219    .125145    -3.35   0.001     -.664802   -.1740419
            iYf_T29 |   .0884241   .0194234     4.55   0.000     .0503393    .1265089
           MEAN9628 |   .0034886   .0009676     3.61   0.000     .0015913    .0053859
             c30men |  -1.707234   .7532938    -2.27   0.024    -3.184268    -.230201
           c30black |  -.2844474   .0859688    -3.31   0.001    -.4530122   -.1158826
             c30jap |   6.097407   2.218797     2.75   0.006     1.746864    10.44795
             c30deu |   .9365989   .1897416     4.94   0.000       .56456    1.308638
             c30ita |  -.3709609   .5636864    -0.66   0.511    -1.476218    .7342965
             c30vet |  -.0730453   1.021874    -0.07   0.943    -2.076702    1.930611
           lc40wage |   .5192187   .0575798     9.02   0.000     .4063183    .6321192
      iwarconpro_PC |   .2594412   .0220916    11.74   0.000     .2161246    .3027577
                    |
         stateicpsr |
                 2  |  -.1975357   .1281159    -1.54   0.123     -.448741    .0536697
                 3  |  -.2401156   .1259525    -1.91   0.057    -.4870791     .006848
                 4  |  -.1076083    .172976    -0.62   0.534    -.4467739    .2315574
                 5  |  -.3589533   .3447272    -1.04   0.298    -1.034883    .3169763
                 6  |  -.0434672   .1234164    -0.35   0.725    -.2854579    .1985236
                11  |   .1908367   .1453972     1.31   0.189    -.0942533    .4759267
                12  |  -.1411405   .1121733    -1.26   0.208     -.361086    .0788051
                13  |  -.0702594   .0959957    -0.73   0.464    -.2584845    .1179657
                14  |  -.1039543    .100406    -1.04   0.301    -.3008271    .0929184
                21  |   .1002843   .1038924     0.97   0.334    -.1034243     .303993
                22  |   .0264737   .1034735     0.26   0.798    -.1764137    .2293611
                23  |  -.0683264   .1054779    -0.65   0.517    -.2751439    .1384912
                24  |  -.0883392    .102684    -0.86   0.390    -.2896786    .1130002
                25  |   .0197177     .11181     0.18   0.860    -.1995156     .238951
                31  |   .6088195   .1088795     5.59   0.000     .3953322    .8223067
                32  |   .4766987   .1132473     4.21   0.000     .2546472    .6987502
                33  |   .3570563   .1147385     3.11   0.002     .1320809    .5820318
                34  |  -.0190878   .1051365    -0.18   0.856    -.2252359    .1870603
                35  |   .5857538   .1136278     5.16   0.000     .3629562    .8085514
                36  |   .6987652   .1322788     5.28   0.000     .4393974    .9581331
                37  |    .389369   .1179493     3.30   0.001     .1580979    .6206401
                40  |   .0178281    .117396     0.15   0.879    -.2123581    .2480143
                41  |  -.0345923   .1128017    -0.31   0.759    -.2557701    .1865855
                42  |  -.4192116   .1196381    -3.50   0.000    -.6537941   -.1846292
                43  |  -.1057771    .130009    -0.81   0.416    -.3606944    .1491403
                44  |  -.1549352   .1167353    -1.33   0.185    -.3838259    .0739554
                45  |  -.2966653   .1194827    -2.48   0.013    -.5309429   -.0623876
                46  |  -.1482086   .1213463    -1.22   0.222    -.3861405    .0897232
                47  |  -.1095101   .1120281    -0.98   0.328    -.3291709    .1101508
                48  |   -.437282   .1303906    -3.35   0.001    -.6929476   -.1816164
                49  |   .1502483   .1131627     1.33   0.184    -.0716373    .3721339
                51  |   -.345749   .1094068    -3.16   0.002    -.5602703   -.1312278
                52  |  -.0976841   .1351856    -0.72   0.470    -.3627516    .1673833
                53  |   .0693364   .1162262     0.60   0.551    -.1585562    .2972289
                54  |  -.1821322   .1090789    -1.67   0.095    -.3960104     .031746
                56  |  -.3038139   .1072261    -2.83   0.005    -.5140592   -.0935686
                61  |  -.1599922   .1506209    -1.06   0.288    -.4553247    .1353403
                62  |   .0183581   .1223038     0.15   0.881    -.2214511    .2581672
                63  |   .1454593   .1371795     1.06   0.289    -.1235177    .4144364
                64  |    .581984   .1317018     4.42   0.000     .3237475    .8402205
                65  |  -.0463904   .1762576    -0.26   0.792    -.3919904    .2992096
                66  |  -.2784062   .1488858    -1.87   0.062    -.5703365    .0135242
                67  |  -.1397665   .1296454    -1.08   0.281    -.3939709    .1144378
                68  |   .4239373   .1449069     2.93   0.003     .1398088    .7080658
                71  |   .1904838   .1211077     1.57   0.116      -.04698    .4279477
                72  |   .5718963   .1252598     4.57   0.000      .326291    .8175015
                73  |   .3760192   .1560744     2.41   0.016     .0699938    .6820446
                    |
              _cons |   1.061665   .5962388     1.78   0.075    -.1074197    2.230751
-------------------------------------------------------------------------------------
(sum of wgt is 3,000)

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      60.32
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6029
                                                Root MSE          =      .4124

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1348467   .0312269     4.32   0.000      .073618    .1960755
         ww1_vol_sh |  -.0141921   .0484704    -0.29   0.770    -.1092313    .0808471
ww1_awards_pop10_is |   .1803144   .0878829     2.05   0.040     .0079965    .3526324
             lpop30 |  -.0208363   .0262744    -0.79   0.428    -.0723543    .0306816
           c30unemp |  -1.759532   .4744153    -3.71   0.000     -2.68975   -.8293145
          c30urban1 |   .0487286   .0313703     1.55   0.120    -.0127812    .1102384
            c30farm |  -.2487545   .1462961    -1.70   0.089    -.5356071    .0380981
            iYf_T29 |   .0797512   .0238059     3.35   0.001     .0330734     .126429
           MEAN9628 |   .0022619    .001215     1.86   0.063    -.0001205    .0046444
             c30men |  -.8640666   .7983614    -1.08   0.279    -2.429467    .7013338
           c30black |  -.1553581   .1605591    -0.97   0.333    -.4701771    .1594609
             c30jap |   4.984445   1.792478     2.78   0.005     1.469815    8.499076
             c30deu |   .7816643   .2464966     3.17   0.002     .2983421    1.264987
             c30ita |  -.0019813     .71297    -0.00   0.998    -1.399949    1.395987
             c30vet |   .6870215   .8054266     0.85   0.394     -.892232    2.266275
           lc40wage |   .5149949   .0765913     6.72   0.000     .3648173    .6651726
      iwarconpro_PC |   .2289455   .0210983    10.85   0.000     .1875766    .2703143
                    |
         stateicpsr |
                 2  |  -.1749004   .1545244    -1.13   0.258    -.4778867    .1280859
                 3  |   -.144002   .1483818    -0.97   0.332    -.4349442    .1469401
                 4  |  -.0917757   .1744035    -0.53   0.599    -.4337402    .2501889
                 5  |  -.2233325   .3853533    -0.58   0.562    -.9789205    .5322554
                 6  |  -.0784167    .146456    -0.54   0.592    -.3655828    .2087494
                11  |   .1137549   .1450696     0.78   0.433    -.1706926    .3982025
                12  |  -.1016551   .1426946    -0.71   0.476    -.3814459    .1781358
                13  |  -.0652182   .1251422    -0.52   0.602    -.3105929    .1801564
                14  |  -.0380667    .128014    -0.30   0.766    -.2890722    .2129388
                21  |   .1157098   .1329691     0.87   0.384    -.1450115     .376431
                22  |   .0253979   .1331136     0.19   0.849    -.2356067    .2864026
                23  |   -.045572   .1358169    -0.34   0.737    -.3118772    .2207332
                24  |  -.0573685   .1320751    -0.43   0.664     -.316337       .2016
                25  |   .0202181    .144374     0.14   0.889    -.2628656    .3033019
                31  |   .5315999   .1382689     3.84   0.000     .2604869    .8027129
                32  |   .4019066   .1393507     2.88   0.004     .1286724    .6751407
                33  |   .2717711   .1437717     1.89   0.059    -.0101318    .5536739
                34  |    -.10973   .1353254    -0.81   0.418    -.3750716    .1556116
                35  |   .6204657   .1544867     4.02   0.000     .3175534    .9233781
                36  |   .6172941   .1573959     3.92   0.000     .3086776    .9259107
                37  |   .2900111   .1482499     1.96   0.051    -.0006724    .5806946
                40  |  -.1914724   .1616392    -1.18   0.236    -.5084091    .1254644
                41  |   -.059176   .1488838    -0.40   0.691    -.3511024    .2327505
                42  |  -.5175584   .1503112    -3.44   0.001    -.8122835   -.2228333
                43  |  -.1136532   .1715855    -0.66   0.508    -.4500923    .2227859
                44  |  -.4009252   .1636543    -2.45   0.014    -.7218131   -.0800372
                45  |  -.3134239   .1570896    -2.00   0.046    -.6214399   -.0054079
                46  |  -.2059315   .1781042    -1.16   0.248    -.5551523    .1432892
                47  |  -.1764622    .203229    -0.87   0.385    -.5749469    .2220225
                48  |  -.3420635   .2229019    -1.53   0.125    -.7791221     .094995
                49  |   .1896514   .1471647     1.29   0.198    -.0989041     .478207
                51  |  -.5306483   .1428167    -3.72   0.000    -.8106785   -.2506182
                52  |  -.2255882    .170193    -1.33   0.185     -.559297    .1081205
                53  |    .003379   .1437959     0.02   0.981    -.2785712    .2853292
                54  |  -.4208815    .146914    -2.86   0.004    -.7089456   -.1328174
                56  |  -.3627279   .1369151    -2.65   0.008    -.6311864   -.0942694
                61  |  -.1489596   .1759692    -0.85   0.397    -.4939942    .1960749
                62  |   .0529503   .1726577     0.31   0.759    -.2855911    .3914917
                63  |   .1103068   .1505786     0.73   0.464    -.1849426    .4055562
                64  |   .5291201   .1525992     3.47   0.001     .2299086    .8283316
                65  |  -.0262554   .1895333    -0.14   0.890    -.3978859    .3453752
                66  |  -.3162972   .1714502    -1.84   0.065    -.6524709    .0198766
                67  |  -.1464944   .1516382    -0.97   0.334    -.4438215    .1508327
                68  |   .3214581   .1559219     2.06   0.039     .0157318    .6271845
                71  |   .2377273   .1463016     1.62   0.104     -.049136    .5245907
                72  |   .5034014   .1455807     3.46   0.001     .2179517    .7888512
                73  |    .463708   .2840012     1.63   0.103    -.0931519    1.020568
                    |
              _cons |   .9365766     .74135     1.26   0.207    -.5170376    2.390191
-------------------------------------------------------------------------------------

Linear regression                               Number of obs     =      2,053
                                                F(56, 1996)       =      86.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6852
                                                Root MSE          =     .39027

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1417455   .0289225     4.90   0.000     .0850239     .198467
         ww1_vol_sh |  -.0465079   .0428535    -1.09   0.278    -.1305502    .0375343
ww1_awards_pop10_is |   .2137296   .1064713     2.01   0.045     .0049231    .4225361
             lpop30 |  -.0887995   .0177584    -5.00   0.000    -.1236264   -.0539726
           c30unemp |  -.5151158   .2900003    -1.78   0.076    -1.083851    .0536193
          c30urban1 |   .1139956   .0260773     4.37   0.000     .0628539    .1651373
            c30farm |  -.3867991   .0992273    -3.90   0.000    -.5813991   -.1921992
            iYf_T29 |   .1158126   .0245541     4.72   0.000     .0676583     .163967
           MEAN9628 |    .003743   .0012489     3.00   0.003     .0012937    .0061922
             c30men |   -2.87002   .7409762    -3.87   0.000    -4.323188   -1.416853
           c30black |   -.399259   .1041788    -3.83   0.000    -.6035696   -.1949485
             c30jap |   4.909085   2.166982     2.27   0.024     .6593009    9.158869
             c30deu |   .8965936   .1973191     4.54   0.000     .5096206    1.283567
             c30ita |   .5578911   .4671615     1.19   0.233    -.3582841    1.474066
             c30vet |   .9919708   .3658756     2.71   0.007     .2744327    1.709509
           lc40wage |   .5568441    .070532     7.89   0.000       .41852    .6951683
      iwarconpro_PC |    .266535   .0248416    10.73   0.000     .2178169    .3152531
                    |
         stateicpsr |
                 2  |  -.1209295   .1515803    -0.80   0.425    -.4182018    .1763427
                 3  |  -.2740477   .1235312    -2.22   0.027    -.5163113   -.0317841
                 5  |  -.7678585   .3229001    -2.38   0.018    -1.401115   -.1346019
                 6  |  -.2588676   .3675231    -0.70   0.481    -.9796368    .4619015
                12  |  -.2608631   .0980314    -2.66   0.008    -.4531177   -.0686085
                13  |  -.1008357   .0908798    -1.11   0.267    -.2790649    .0773936
                14  |  -.0734405   .0922208    -0.80   0.426    -.2542996    .1074186
                21  |   .1039875   .1003997     1.04   0.300    -.0929117    .3008867
                22  |   .0230109   .0997857     0.23   0.818    -.1726842    .2187059
                23  |  -.0588351   .1035378    -0.57   0.570    -.2618887    .1442184
                24  |  -.0588344   .0979709    -0.60   0.548    -.2509704    .1333015
                25  |   .0499633   .1097865     0.46   0.649    -.1653449    .2652714
                31  |   .5981973   .1063239     5.63   0.000     .3896799    .8067147
                32  |   .3042753   .1035428     2.94   0.003      .101212    .5073386
                33  |   .4097297   .1149255     3.57   0.000     .1843432    .6351163
                34  |   .0409607   .1014248     0.40   0.686    -.1579488    .2398702
                35  |   .7716741   .1143033     6.75   0.000     .5475078    .9958403
                40  |   .0730397   .1247067     0.59   0.558    -.1715293    .3176088
                41  |   .1917988    .138458     1.39   0.166    -.0797386    .4633363
                42  |  -.3789542   .1166952    -3.25   0.001    -.6078113   -.1500972
                43  |  -.0733926   .1306583    -0.56   0.574    -.3296337    .1828484
                44  |  -.1297076   .1270618    -1.02   0.307    -.3788952      .11948
                45  |   -.304225   .1233715    -2.47   0.014    -.5461754   -.0622746
                46  |  -.1117584   .1258463    -0.89   0.375    -.3585622    .1350454
                47  |  -.0780051   .1203779    -0.65   0.517    -.3140845    .1580744
                48  |  -.3793019   .1405647    -2.70   0.007    -.6549708   -.1036331
                49  |   .1717105   .1090863     1.57   0.116    -.0422244    .3856454
                51  |  -.3162534   .1096419    -2.88   0.004    -.5312781   -.1012288
                52  |  -.0451547   .2227127    -0.20   0.839    -.4819285    .3916192
                53  |   .0739193   .1088178     0.68   0.497     -.139489    .2873276
                54  |  -.2128628   .1193566    -1.78   0.075    -.4469394    .0212139
                56  |  -.3192375   .1078691    -2.96   0.003    -.5307853   -.1076897
                62  |  -.0777833   .1358397    -0.57   0.567    -.3441858    .1886192
                63  |   .0405063   .1820525     0.22   0.824    -.3165265     .397539
                66  |  -.6956297    .201508    -3.45   0.001    -1.090818   -.3004416
                67  |  -.1014999   .1048747    -0.97   0.333    -.3071753    .1041755
                71  |   .2199626   .1088035     2.02   0.043     .0065823     .433343
                72  |   .5793308    .117997     4.91   0.000     .3479206     .810741
                73  |   .3729581    .157768     2.36   0.018     .0635509    .6823652
                    |
              _cons |   2.002259   .6613406     3.03   0.002     .7052687    3.299249
-------------------------------------------------------------------------------------

Linear regression                               Number of obs     =      2,006
                                                F(118, 1884)      =          .
                                                Prob > F          =          .
                                                R-squared         =     0.7108
                                                Root MSE          =     .37379

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          iNDEXP_PC |   .1507441   .0279891     5.39   0.000     .0958511    .2056371
         ww1_vol_sh |    .051884   .0408382     1.27   0.204    -.0282088    .1319768
ww1_awards_pop10_is |      .2634   .1000205     2.63   0.009     .0672374    .4595626
             lpop30 |  -.0360921   .0191826    -1.88   0.060    -.0737136    .0015293
           c30unemp |  -.5888005     .32003    -1.84   0.066    -1.216451      .03885
          c30urban1 |   .0624801   .0231594     2.70   0.007     .0170594    .1079009
            c30farm |  -.4159772   .1039767    -4.00   0.000    -.6198988   -.2120556
            iYf_T29 |   .0843319   .0268176     3.14   0.002     .0317367    .1369272
           MEAN9628 |   .0028693   .0010347     2.77   0.006       .00084    .0048987
             c30men |  -.4811784    .769866    -0.63   0.532    -1.991058    1.028701
           c30black |   -.228417   .1227419    -1.86   0.063    -.4691414    .0123073
             c30jap |   3.383238   3.446973     0.98   0.326    -3.377047    10.14352
             c30deu |   .6475149    .207588     3.12   0.002     .2403884    1.054641
             c30ita |  -.3447092   .5808537    -0.59   0.553    -1.483893     .794475
             c30vet |   .1818195   .3393203     0.54   0.592    -.4836637    .8473026
           lc40wage |   .5594137   .0713304     7.84   0.000     .4195188    .6993085
      iwarconpro_PC |   .2561034    .028804     8.89   0.000     .1996122    .3125945
                    |
       closestbor_n |
                 2  |   .0777751   .1076101     0.72   0.470    -.1332724    .2888226
                 3  |   .0580596   .1110834     0.52   0.601    -.1597998    .2759191
                 4  |   .2060579    .125725     1.64   0.101     -.040517    .4526328
                 5  |   .1550361   .2182111     0.71   0.477    -.2729248    .5829969
                 8  |  -.2289239   .2680032    -0.85   0.393    -.7545382    .2966905
                 9  |  -.3534077   .2022657    -1.75   0.081     -.750096    .0432807
                10  |  -.3792675   .1616997    -2.35   0.019    -.6963968   -.0621381
                11  |  -.1456581   .1255196    -1.16   0.246    -.3918301     .100514
                12  |  -.1720449   .1118609    -1.54   0.124    -.3914292    .0473393
                13  |  -.1884954   .1119578    -1.68   0.092    -.4080697    .0310789
                14  |  -.2780738    .125979    -2.21   0.027    -.5251468   -.0310008
                15  |   .1262265   .3897586     0.32   0.746    -.6381774    .8906304
                16  |  -.1604166   .1864303    -0.86   0.390    -.5260481    .2052148
                17  |   .4914627   .1545422     3.18   0.001     .1883709    .7945545
                18  |   .8812451   .1516912     5.81   0.000     .5837447    1.178745
                19  |   .9268066   .1590239     5.83   0.000     .6149251    1.238688
                20  |  -.2449208   .1581136    -1.55   0.122    -.5550169    .0651753
                21  |   .7599778   .1162461     6.54   0.000     .5319932    .9879624
                22  |   .1519836   .1549007     0.98   0.327    -.1518114    .4557786
                23  |   .4509997   .1566068     2.88   0.004     .1438586    .7581408
                24  |  -.0784754   .1737556    -0.45   0.652     -.419249    .2622982
                25  |   .0523595   .1671969     0.31   0.754    -.2755511    .3802701
                26  |  -.0999773   .2833367    -0.35   0.724     -.655664    .4557094
                27  |   .2006895   .1185051     1.69   0.091    -.0317256    .4331046
                28  |   .0810385   .1591106     0.51   0.611    -.2310131    .3930901
                29  |    .136793   .1832075     0.75   0.455    -.2225179    .4961039
                30  |   -.272496    .329012    -0.83   0.408    -.9177623    .3727703
                32  |   -.098289    .151027    -0.65   0.515    -.3944867    .1979087
                33  |  -.0923389   .4382705    -0.21   0.833    -.9518855    .7672077
                34  |  -.0428454   .1170499    -0.37   0.714    -.2724064    .1867155
                35  |  -.2650886     .16361    -1.62   0.105    -.5859645    .0557873
                36  |   .3304426   .1304359     2.53   0.011     .0746285    .5862567
                37  |   .4713893   .1130283     4.17   0.000     .2497155     .693063
                38  |   .1029848   .3218534     0.32   0.749    -.5282418    .7342115
                39  |    .406392   .1651899     2.46   0.014     .0824177    .7303664
                40  |   .2944014    .161734     1.82   0.069    -.0227952     .611598
                41  |   .2962212   .1382508     2.14   0.032     .0250805     .567362
                42  |   .2387858   .1155412     2.07   0.039     .0121836     .465388
                43  |   .4675768   .1286432     3.63   0.000     .2152787    .7198749
                44  |  -.0917323   .1228738    -0.75   0.455    -.3327152    .1492507
                45  |   .0938005   .1119169     0.84   0.402    -.1256936    .3132946
                46  |   .2253384   .1282175     1.76   0.079    -.0261248    .4768016
                47  |   .1499046   .1069456     1.40   0.161    -.0598397    .3596489
                48  |   .2141166   .1140465     1.88   0.061    -.0095542    .4377873
                49  |   .2524142   .1139987     2.21   0.027     .0288372    .4759911
                50  |   .8897875   .1223874     7.27   0.000     .6497583    1.129817
                51  |   .5471391   .1119956     4.89   0.000     .3274905    .7667876
                52  |   .6611758   .1470191     4.50   0.000     .3728383    .9495132
                53  |   .8659912   .1373924     6.30   0.000      .596534    1.135448
                54  |   .5993195   .1367768     4.38   0.000     .3310696    .8675695
                55  |   .2903416    .110631     2.62   0.009     .0733695    .5073137
                56  |   .7281737   .1199426     6.07   0.000     .4929394    .9634081
                57  |   .6036086   .1235568     4.89   0.000     .3612859    .8459312
                58  |    .021368   .1841049     0.12   0.908     -.339703     .382439
                59  |   -.064052   .1234665    -0.52   0.604    -.3061976    .1780935
                60  |  -.0575608   .1086406    -0.53   0.596    -.2706293    .1555078
                61  |  -.5874787   .1770795    -3.32   0.001    -.9347713   -.2401861
                62  |  -.7836552   .1877885    -4.17   0.000    -1.151951   -.4153598
                63  |  -.0782233   .1122555    -0.70   0.486    -.2983815    .1419349
                64  |  -.0139263   .1431992    -0.10   0.923    -.2947721    .2669194
                65  |   .0657618   .1489169     0.44   0.659    -.2262976    .3578212
                66  |    .035641   .1236525     0.29   0.773    -.2068693    .2781514
                67  |   .0402061   .1855831     0.22   0.829    -.3237639     .404176
                68  |  -.2635787   .1202581    -2.19   0.029    -.4994317   -.0277257
                69  |   .0038599   .3188114     0.01   0.990    -.6214006    .6291205
                70  |  -.0862277   .1232933    -0.70   0.484    -.3280334    .1555781
                71  |  -.0423185   .2025019    -0.21   0.834    -.4394701    .3548331
                72  |   .2185368   .1250031     1.75   0.081    -.0266222    .4636959
                73  |   .1190842   .1209297     0.98   0.325     -.118086    .3562543
                74  |  -.0331393   .1186636    -0.28   0.780    -.2658652    .1995866
                75  |   .8982668   .1515337     5.93   0.000     .6010752    1.195458
                76  |   .7681274   .1257684     6.11   0.000     .5214673    1.014787
                77  |   .3348028   .1261066     2.65   0.008     .0874795    .5821261
                78  |  -.0269071   .1109384    -0.24   0.808    -.2444821    .1906678
                79  |   .5695051   .1382549     4.12   0.000     .2983563    .8406538
                80  |  -.0033671   .1584283    -0.02   0.983    -.3140805    .3073463
                81  |   .1353758   .1639894     0.83   0.409    -.1862441    .4569957
                82  |   1.216233   .1840308     6.61   0.000     .8553078    1.577159
                83  |   1.051342   .1210913     8.68   0.000     .8138551    1.288829
                84  |   .4723741   .1345151     3.51   0.000     .2085599    .7361883
                85  |   .6843215   .1215878     5.63   0.000     .4458607    .9227824
                86  |   .8140542   .2024326     4.02   0.000     .4170386     1.21107
                87  |   .5995968   .1771919     3.38   0.001     .2520838    .9471098
                88  |   .1440678   .1411042     1.02   0.307    -.1326691    .4208047
                89  |   .0455206   .1231298     0.37   0.712    -.1959646    .2870058
                90  |  -.1558063   .1648783    -0.94   0.345    -.4791695    .1675569
                91  |   .0511444   .1392386     0.37   0.713    -.2219337    .3242225
                93  |    .215808   .1308653     1.65   0.099    -.0408481    .4724641
                94  |  -.1798207   .2190922    -0.82   0.412    -.6095095    .2498681
                95  |   .1365395   .1171245     1.17   0.244    -.0931678    .3662468
                96  |   .0025261   .1242036     0.02   0.984     -.241065    .2461173
                97  |  -.0794753   .1101946    -0.72   0.471    -.2955915     .136641
                98  |  -.0263166    .152512    -0.17   0.863    -.3254267    .2727936
                99  |   .1817698   .1115961     1.63   0.104    -.0370952    .4006347
               100  |   .6415906   .1638648     3.92   0.000     .3202151    .9629662
               101  |   .1623625    .127202     1.28   0.202    -.0871092    .4118341
               102  |  -.1742687   .1180882    -1.48   0.140    -.4058662    .0573287
               103  |   .3564716    .115182     3.09   0.002      .130574    .5823692
               104  |    .721909   .1793747     4.02   0.000     .3701151    1.073703
               105  |   .0564477    .120452     0.47   0.639    -.1797856    .2926811
               106  |   .3795831   .1462388     2.60   0.010     .0927761    .6663901
               107  |  -.2489411   .1435303    -1.73   0.083    -.5304362     .032554
               108  |   .2381287   .2132956     1.12   0.264    -.1801917    .6564492
               109  |   .0178698   .1089057     0.16   0.870    -.1957187    .2314584
                    |
              _cons |   .3053145   .6856488     0.45   0.656    -1.039396    1.650025
-------------------------------------------------------------------------------------
note: statei dropped from exact() varlist due to collinearity

Matching estimator:  Average Treatment Effect for the Treated

Weighting matrix: inverse variance          Number of obs          =      3022
                                            Number of matches  (m) =         3

------------------------------------------------------------------------------
iwarbond_1~C |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        SATT |     .10232   .0388992     2.63   0.009      .026079     .178561
------------------------------------------------------------------------------
Matching variables:  lat_nd lon_nd ww1_vol_sh lpop30
Exact matching variables: stateicpsr c30urban1
   (Percent of exact matches: 73.288888)

number of observations (_N) was 0, now 5 {p_end} (5 missing values generated) (5 missing values generated) (5 missing values generated) (5
missing values generated) (5 missing values generated) Linear regression Number of obs = 2,329 F(55, 2273) = 70.72 Prob > F = 0.0000 R-squared =
0.6198 Root MSE = .21328 ------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1}
ww2_vol_pop40{col 21}| Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0471713{col 33}  
.0156551{col 44}  3.01{col 53}   0.003{col 61}     .0164715{col 74}    .0778711          ww1_vol_sh |{col 21}   .110829{col 33}   .0259825{col
44}  4.27{col 53}   0.000{col 61}     .059877{col 74}    .161781 ww1_awards_pop10_is |{col 21}   .1295866{col 33}   .099245{col 44}  1.31{col
53}   0.192{col 61}    -.0650337{col 74}    .3242069              lpop30 |{col 21}  -.0150495{col 33}   .0103258{col 44}  -1.46{col
53}   0.145{col 61}    -.0352984{col 74}    .0051995            c30unemp |{col 21}   .5311241{col 33}   .1977125{col 44}  2.69{col
53}   0.007{col 61}     .1434083{col 74}    .91884           c30urban1 |{col 21}   .0166562{col 33}   .012915{col 44}  1.29{col 53}   0.197{col
61}    -.0086702{col 74}    .0419827             c30farm |{col 21}  -.0670716{col 33}   .0536509{col 44}  -1.25{col 53}   0.211{col
61}    -.1722814{col 74}    .0381382             iYf_T29 |{col 21}  -.0200108{col 33}   .0111169{col 44}  -1.80{col 53}   0.072{col
61}    -.0418111{col 74}    .0017895            MEAN9628 |{col 21}   .0000689{col 33}   .000535{col 44}  0.13{col 53}   0.898{col
61}    -.0009802{col 74}    .001118              c30men |{col 21}  -1.373568{col 33}   .5151439{col 44}  -2.67{col 53}   0.008{col 61}    
-2.38377{col 74}   -.3633667            c30black |{col 21}  -.4372501{col 33}   .0382799{col 44}  -11.42{col 53}   0.000{col
61}    -.5123173{col 74}   -.3621828              c30jap |{col 21}   .8435633{col 33}   1.227346{col 44}  0.69{col 53}   0.492{col
61}    -1.563272{col 74}    3.250399              c30deu |{col 21}  -.6184738{col 33}   .159494{col 44}  -3.88{col 53}   0.000{col
61}    -.9312429{col 74}   -.3057048              c30ita |{col 21}  -.2575304{col 33}   .2393845{col 44}  -1.08{col 53}   0.282{col
61}    -.7269653{col 74}    .2119045              c30vet |{col 21}   1.064258{col 33}   .3284924{col 44}  3.24{col 53}   0.001{col 61}    
.4200813{col 74}    1.708434            lc40wage |{col 21}   .2232951{col 33}   .0331382{col 44}  6.74{col 53}   0.000{col 61}     .1583108{col
74}    .2882794       iwarconpro_PC |{col 21}  -.0386987{col 33}   .0079706{col 44}  -4.86{col 53}   0.000{col 61}    -.0543291{col
74}   -.0230683                     |          stateicpsr |                  2 |{col 21}  -.0346837{col 33}   .0607441{col 44}  -0.57{col
53}   0.568{col 61}    -.1538033{col 74}    .0844359                  3 |{col 21}   .0179922{col 33}   .0595143{col 44}  0.30{col
53}   0.762{col 61}    -.0987158{col 74}    .1347002                  4 |{col 21}   .2100558{col 33}   .0793067{col 44}  2.65{col
53}   0.008{col 61}     .0545347{col 74}    .3655769                  5 |{col 21}   -.020517{col 33}   .0692617{col 44}  -0.30{col
53}   0.767{col 61}    -.1563398{col 74}    .1153058                  6 |{col 21}   .2849785{col 33}   .0778868{col 44}  3.66{col
53}   0.000{col 61}     .1322418{col 74}    .4377152                 11 |{col 21}  -.1905889{col 33}   .063374{col 44}  -3.01{col
53}   0.003{col 61}    -.3148658{col 74}    -.066312                 12 |{col 21}  -.1088452{col 33}   .0537399{col 44}  -2.03{col
53}   0.043{col 61}    -.2142296{col 74}   -.0034608                 13 |{col 21}   .0184302{col 33}   .0534532{col 44}  0.34{col
53}   0.730{col 61}    -.0863921{col 74}    .1232524                 14 |{col 21}  -.2415148{col 33}   .0518837{col 44}  -4.65{col
53}   0.000{col 61}    -.3432591{col 74}   -.1397705                 21 |{col 21}   .0194748{col 33}   .0574804{col 44}  0.34{col
53}   0.735{col 61}    -.0932447{col 74}    .1321944                 22 |{col 21}  -.0834092{col 33}   .0557229{col 44}  -1.50{col
53}   0.135{col 61}    -.1926823{col 74}    .0258639                 23 |{col 21}  -.0520224{col 33}   .06226{col 44}  -0.84{col 53}   0.403{col
61}    -.1741148{col 74}    .07007                 24 |{col 21}  -.1100331{col 33}   .0557431{col 44}  -1.97{col 53}   0.049{col
61}    -.2193457{col 74}   -.0007204                 25 |{col 21}   .1857352{col 33}   .0665411{col 44}  2.79{col 53}   0.005{col 61}    
.0552476{col 74}    .3162228                 40 |{col 21}  -.1576362{col 33}   .0572577{col 44}  -2.75{col 53}   0.006{col 61}    -.2699191{col
74}   -.0453533                 41 |{col 21}   .0876356{col 33}   .0595924{col 44}  1.47{col 53}   0.142{col 61}    -.0292256{col 74}   
.2044969                 42 |{col 21}  -.2436627{col 33}   .0577923{col 44}  -4.22{col 53}   0.000{col 61}    -.3569939{col 74}   -.1303316
                43 |{col 21}   .1925812{col 33}   .064631{col 44}  2.98{col 53}   0.003{col 61}     .0658394{col 74}    .3193231
                44 |{col 21}   .1780442{col 33}   .0581828{col 44}  3.06{col 53}   0.002{col 61}     .0639472{col 74}    .2921411
                45 |{col 21}  -.1947976{col 33}   .0573614{col 44}  -3.40{col 53}   0.001{col 61}    -.3072837{col 74}   -.0823114
                46 |{col 21}   .1170214{col 33}   .0611679{col 44}  1.91{col 53}   0.056{col 61}    -.0029294{col 74}    .2369722
                47 |{col 21}  -.0157006{col 33}   .0562306{col 44}  -0.28{col 53}   0.780{col 61}    -.1259693{col 74}    .094568
                48 |{col 21}   .0567853{col 33}   .0622429{col 44}  0.91{col 53}   0.362{col 61}    -.0652736{col 74}    .1788442
                49 |{col 21}   .5343937{col 33}   .0603567{col 44}  8.85{col 53}   0.000{col 61}     .4160336{col 74}    .6527537
                51 |{col 21}   .0384493{col 33}   .0567588{col 44}  0.68{col 53}   0.498{col 61}    -.0728551{col 74}    .1497536
                52 |{col 21}  -.2951275{col 33}   .0601104{col 44}  -4.91{col 53}   0.000{col 61}    -.4130046{col 74}   -.1772504
                53 |{col 21}   .1413956{col 33}   .0606749{col 44}  2.33{col 53}   0.020{col 61}     .0224117{col 74}    .2603795
                54 |{col 21}  -.0343568{col 33}   .0580638{col 44}  -0.59{col 53}   0.554{col 61}    -.1482204{col 74}    .0795067
                56 |{col 21}   .0527032{col 33}   .0603763{col 44}  0.87{col 53}   0.383{col 61}    -.0656953{col 74}    .1711017
                61 |{col 21}  -.5428118{col 33}   .0710616{col 44}  -7.64{col 53}   0.000{col 61}    -.6821642{col 74}   -.4034593
                63 |{col 21}  -.0656251{col 33}   .0678951{col 44}  -0.97{col 53}   0.334{col 61}    -.1987679{col 74}    .0675177
                64 |{col 21}   .1672749{col 33}   .072166{col 44}  2.32{col 53}   0.021{col 61}     .0257568{col 74}    .308793
                65 |{col 21}  -.2146019{col 33}   .095559{col 44}  -2.25{col 53}   0.025{col 61}    -.4019939{col 74}   -.0272099
                66 |{col 21}   .0703488{col 33}   .0757387{col 44}  0.93{col 53}   0.353{col 61}    -.0781755{col 74}    .2188731
                67 |{col 21}  -.2245669{col 33}   .0653255{col 44}  -3.44{col 53}   0.001{col 61}    -.3526707{col 74}    -.096463
                71 |{col 21}   .018366{col 33}   .0712835{col 44}  0.26{col 53}   0.797{col 61}    -.1214215{col 74}    .1581534
                72 |{col 21}   -.151916{col 33}   .0687728{col 44}  -2.21{col 53}   0.027{col 61}     -.28678{col 74}    -.017052
                73 |{col 21}   .0363616{col 33}   .0702835{col 44}  0.52{col 53}   0.605{col 61}     -.101465{col 74}    .1741882
                    |               _cons |{col 21}  -.2668092{col 33}   .3503008{col 44}  -0.76{col 53}   0.446{col 61}    -.9537519{col 74}   
.4201335 ------------------------------------------------------------------------------------- (sum of wgt is 2,138.5256919722) Linear
regression Number of obs = 2,329 F(55, 2273) = 41.87 Prob > F = 0.0000 R-squared = 0.5824 Root MSE = .22503
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} ww2_vol_pop40{col 21}|
Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0623557{col 33}  
.0187516{col 44}  3.33{col 53}   0.001{col 61}     .0255836{col 74}    .0991278          ww1_vol_sh |{col 21}   .1142287{col 33}   .0315671{col
44}  3.62{col 53}   0.000{col 61}     .0523254{col 74}    .176132 ww1_awards_pop10_is |{col 21}   -.057798{col 33}   .1426006{col 44}  -0.41{col
53}   0.685{col 61}    -.3374389{col 74}    .2218428              lpop30 |{col 21}  -.0187179{col 33}   .0128994{col 44}  -1.45{col
53}   0.147{col 61}    -.0440137{col 74}    .0065779            c30unemp |{col 21}   .61955{col 33}   .2752444{col 44}  2.25{col 53}   0.024{col
61}     .0797934{col 74}    1.159307           c30urban1 |{col 21}   .0021153{col 33}   .0189092{col 44}  0.11{col 53}   0.911{col
61}    -.0349658{col 74}    .0391964             c30farm |{col 21}  -.0619598{col 33}   .0746092{col 44}  -0.83{col 53}   0.406{col
61}    -.2082691{col 74}    .0843495             iYf_T29 |{col 21}  -.0135233{col 33}   .0147524{col 44}  -0.92{col 53}   0.359{col 61}    
-.042453{col 74}    .0154063            MEAN9628 |{col 21}  -.0000159{col 33}   .0007546{col 44}  -0.02{col 53}   0.983{col 61}    -.0014956{col
74}    .0014638              c30men |{col 21}  -1.743511{col 33}   .5211003{col 44}  -3.35{col 53}   0.001{col 61}    -2.765393{col
74}   -.7216289            c30black |{col 21}   -.565168{col 33}   .0786985{col 44}  -7.18{col 53}   0.000{col 61}    -.7194964{col
74}   -.4108396              c30jap |{col 21}   2.737402{col 33}   1.127245{col 44}  2.43{col 53}   0.015{col 61}     .5268665{col 74}   
4.947938              c30deu |{col 21}  -.4990519{col 33}   .1711091{col 44}  -2.92{col 53}   0.004{col 61}    -.8345982{col 74}   -.1635056
             c30ita |{col 21}  -.3562069{col 33}   .2891085{col 44}  -1.23{col 53}   0.218{col 61}    -.9231511{col 74}    .2107374
             c30vet |{col 21}   1.046672{col 33}   .331023{col 44}  3.16{col 53}   0.002{col 61}     .3975334{col 74}    1.695811
           lc40wage |{col 21}   .2674938{col 33}   .0448192{col 44}  5.97{col 53}   0.000{col 61}     .179603{col 74}    .3553846
      iwarconpro_PC |{col 21}  -.0474133{col 33}   .0103471{col 44}  -4.58{col 53}   0.000{col 61}    -.0677041{col 74}   -.0271225
                    |          stateicpsr |                  2 |{col 21}   .0302085{col 33}   .0660392{col 44}  0.46{col 53}   0.647{col
61}    -.0992948{col 74}    .1597119                  3 |{col 21}   .0405676{col 33}   .0650449{col 44}  0.62{col 53}   0.533{col 61}    
-.086986{col 74}    .1681211                  4 |{col 21}   .2545414{col 33}   .0900353{col 44}  2.83{col 53}   0.005{col 61}     .0779814{col
74}    .4311014                  5 |{col 21}   .0044795{col 33}   .08013{col 44}  0.06{col 53}   0.955{col 61}     -.152656{col 74}    .1616151
                 6 |{col 21}   .3418043{col 33}   .0786444{col 44}  4.35{col 53}   0.000{col 61}     .1875819{col 74}    .4960267
                11 |{col 21}  -.1242055{col 33}   .0740684{col 44}  -1.68{col 53}   0.094{col 61}    -.2694543{col 74}    .0210433
                12 |{col 21}  -.0712642{col 33}   .0558899{col 44}  -1.28{col 53}   0.202{col 61}    -.1808647{col 74}    .0383364
                13 |{col 21}   .0507399{col 33}   .05608{col 44}  0.90{col 53}   0.366{col 61}    -.0592335{col 74}    .1607133
                14 |{col 21}  -.1970401{col 33}   .0543815{col 44}  -3.62{col 53}   0.000{col 61}    -.3036827{col 74}   -.0903974
                21 |{col 21}   .0362062{col 33}   .0579934{col 44}  0.62{col 53}   0.532{col 61}    -.0775194{col 74}    .1499317
                22 |{col 21}  -.0547257{col 33}   .0572874{col 44}  -0.96{col 53}   0.340{col 61}    -.1670668{col 74}    .0576153
                23 |{col 21}  -.0244943{col 33}   .0636317{col 44}  -0.38{col 53}   0.700{col 61}    -.1492765{col 74}    .1002879
                24 |{col 21}  -.0865163{col 33}   .0567367{col 44}  -1.52{col 53}   0.127{col 61}    -.1977776{col 74}    .0247449
                25 |{col 21}   .2033743{col 33}   .0681464{col 44}  2.98{col 53}   0.003{col 61}     .0697386{col 74}    .33701
                40 |{col 21}  -.1100968{col 33}   .0663404{col 44}  -1.66{col 53}   0.097{col 61}    -.2401908{col 74}    .0199973
                41 |{col 21}   .1180341{col 33}   .070882{col 44}  1.67{col 53}   0.096{col 61}    -.0209661{col 74}    .2570343
                42 |{col 21}  -.2308367{col 33}   .0634266{col 44}  -3.64{col 53}   0.000{col 61}    -.3552167{col 74}   -.1064567
                43 |{col 21}   .2627978{col 33}   .0744847{col 44}  3.53{col 53}   0.000{col 61}     .1167326{col 74}    .408863
                44 |{col 21}   .1847657{col 33}   .069524{col 44}  2.66{col 53}   0.008{col 61}     .0484286{col 74}    .3211029
                45 |{col 21}  -.1714573{col 33}   .0690223{col 44}  -2.48{col 53}   0.013{col 61}    -.3068106{col 74}    -.036104
                46 |{col 21}   .2147098{col 33}   .0840879{col 44}  2.55{col 53}   0.011{col 61}     .0498128{col 74}    .3796068
                47 |{col 21}   .0861017{col 33}   .0666683{col 44}  1.29{col 53}   0.197{col 61}    -.0446354{col 74}    .2168389
                48 |{col 21}   .0778869{col 33}   .0809678{col 44}  0.96{col 53}   0.336{col 61}    -.0808916{col 74}    .2366654
                49 |{col 21}   .5911675{col 33}   .0674793{col 44}  8.76{col 53}   0.000{col 61}     .45884{col 74}    .7234949
                51 |{col 21}   .1080021{col 33}   .0609305{col 44}  1.77{col 53}   0.076{col 61}    -.0114831{col 74}    .2274874
                52 |{col 21}   -.284059{col 33}   .0642674{col 44}  -4.42{col 53}   0.000{col 61}    -.4100878{col 74}   -.1580302
                53 |{col 21}   .1925886{col 33}   .0633774{col 44}  3.04{col 53}   0.002{col 61}     .0683051{col 74}    .3168721
                54 |{col 21}   .0967935{col 33}   .0687798{col 44}  1.41{col 53}   0.159{col 61}    -.0380842{col 74}    .2316712
                56 |{col 21}   .0774532{col 33}   .0633034{col 44}  1.22{col 53}   0.221{col 61}    -.0466853{col 74}    .2015917
                61 |{col 21}  -.5072131{col 33}   .0731558{col 44}  -6.93{col 53}   0.000{col 61}    -.6506721{col 74}    -.363754
                63 |{col 21}  -.0268125{col 33}   .0660552{col 44}  -0.41{col 53}   0.685{col 61}    -.1563472{col 74}    .1027223
                64 |{col 21}   .2081789{col 33}   .0739052{col 44}  2.82{col 53}   0.005{col 61}     .0632503{col 74}    .3531076
                65 |{col 21}  -.1883935{col 33}   .0942597{col 44}  -2.00{col 53}   0.046{col 61}    -.3732375{col 74}   -.0035495
                66 |{col 21}   .1106729{col 33}   .0782007{col 44}  1.42{col 53}   0.157{col 61}    -.0426793{col 74}    .2640252
                67 |{col 21}  -.2095225{col 33}   .0662935{col 44}  -3.16{col 53}   0.002{col 61}    -.3395246{col 74}   -.0795205
                71 |{col 21}   .0267196{col 33}   .0739723{col 44}  0.36{col 53}   0.718{col 61}    -.1183408{col 74}    .17178
                72 |{col 21}  -.1561115{col 33}   .0719009{col 44}  -2.17{col 53}   0.030{col 61}    -.2971098{col 74}   -.0151133
                73 |{col 21}   .0753862{col 33}   .0772365{col 44}  0.98{col 53}   0.329{col 61}    -.0760752{col 74}    .2268476
                    |               _cons |{col 21}  -.4494645{col 33}   .4351075{col 44}  -1.03{col 53}   0.302{col 61}    -1.302714{col 74}   
.4037849 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,670 F(50,
1619) = 97.29 Prob > F = 0.0000 R-squared = 0.6400 Root MSE = .21866
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} ww2_vol_pop40{col 21}|
Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .044484{col 33}  
.0179071{col 44}  2.48{col 53}   0.013{col 61}     .0093604{col 74}    .0796075          ww1_vol_sh |{col 21}   .1118978{col 33}   .032185{col
44}  3.48{col 53}   0.001{col 61}     .0487692{col 74}    .1750265 ww1_awards_pop10_is |{col 21}   .1119585{col 33}   .1428396{col 44}  0.78{col
53}   0.433{col 61}    -.1682113{col 74}    .3921284              lpop30 |{col 21}  -.0063781{col 33}   .0100379{col 44}  -0.64{col
53}   0.525{col 61}    -.0260667{col 74}    .0133106            c30unemp |{col 21}   .6254781{col 33}   .2484795{col 44}  2.52{col
53}   0.012{col 61}     .1381028{col 74}    1.112853           c30urban1 |{col 21}   .012269{col 33}   .0178853{col 44}  0.69{col
53}   0.493{col 61}    -.0228118{col 74}    .0473497             c30farm |{col 21}   .0031286{col 33}   .069775{col 44}  0.04{col
53}   0.964{col 61}    -.1337302{col 74}    .1399874             iYf_T29 |{col 21}  -.0283392{col 33}   .0131628{col 44}  -2.15{col
53}   0.031{col 61}    -.0541571{col 74}   -.0025213            MEAN9628 |{col 21}   .0010552{col 33}   .0006614{col 44}  1.60{col
53}   0.111{col 61}    -.0002421{col 74}    .0023526              c30men |{col 21}  -.9929979{col 33}   .6682354{col 44}  -1.49{col
53}   0.137{col 61}    -2.303695{col 74}    .3176993            c30black |{col 21}  -.4948476{col 33}   .0466764{col 44}  -10.60{col
53}   0.000{col 61}    -.5864001{col 74}   -.4032951              c30jap |{col 21}   1.634952{col 33}   1.105512{col 44}  1.48{col
53}   0.139{col 61}    -.5334315{col 74}    3.803336              c30deu |{col 21}  -.8040976{col 33}   .1556283{col 44}  -5.17{col
53}   0.000{col 61}    -1.109352{col 74}   -.4988436              c30ita |{col 21}  -.2536309{col 33}   .255677{col 44}  -0.99{col
53}   0.321{col 61}    -.7551236{col 74}    .2478618              c30vet |{col 21}   .9868783{col 33}   .4125717{col 44}  2.39{col
53}   0.017{col 61}     .1776477{col 74}    1.796109            lc40wage |{col 21}   .2404995{col 33}   .0415535{col 44}  5.79{col
53}   0.000{col 61}     .1589953{col 74}    .3220038       iwarconpro_PC |{col 21}  -.0299148{col 33}   .0094279{col 44}  -3.17{col
53}   0.002{col 61}    -.0484071{col 74}   -.0114226                     |          stateicpsr |                  2 |{col 21}  -.0751394{col
33}   .067618{col 44}  -1.11{col 53}   0.267{col 61}    -.2077674{col 74}    .0574885                  3 |{col 21}   .0247682{col 33}  
.0599859{col 44}  0.41{col 53}   0.680{col 61}     -.09289{col 74}    .1424265                  5 |{col 21}   .0212035{col 33}   .0535451{col
44}  0.40{col 53}   0.692{col 61}    -.0838214{col 74}    .1262285                  6 |{col 21}   .4178453{col 33}   .0637598{col 44}  6.55{col
53}   0.000{col 61}     .2927849{col 74}    .5429057                 12 |{col 21}  -.1367319{col 33}   .0557277{col 44}  -2.45{col
53}   0.014{col 61}     -.246038{col 74}   -.0274258                 13 |{col 21}   .0045607{col 33}   .055676{col 44}  0.08{col 53}   0.935{col
61}    -.1046439{col 74}    .1137652                 14 |{col 21}  -.2608932{col 33}   .0545429{col 44}  -4.78{col 53}   0.000{col
61}    -.3678752{col 74}   -.1539112                 21 |{col 21}   .0017387{col 33}   .0609575{col 44}  0.03{col 53}   0.977{col
61}    -.1178251{col 74}    .1213026                 22 |{col 21}  -.1092325{col 33}   .0586569{col 44}  -1.86{col 53}   0.063{col
61}    -.2242839{col 74}    .0058189                 23 |{col 21}  -.0609831{col 33}   .0668252{col 44}  -0.91{col 53}   0.362{col 61}    
-.192056{col 74}    .0700899                 24 |{col 21}  -.1368595{col 33}   .0588098{col 44}  -2.33{col 53}   0.020{col 61}    -.2522107{col
74}   -.0215083                 25 |{col 21}   .1935375{col 33}   .0687939{col 44}  2.81{col 53}   0.005{col 61}     .058603{col 74}    .328472
                40 |{col 21}  -.2066085{col 33}   .0625634{col 44}  -3.30{col 53}   0.001{col 61}    -.3293223{col 74}   -.0838948
                41 |{col 21}   .0485227{col 33}   .0956695{col 44}  0.51{col 53}   0.612{col 61}    -.1391264{col 74}    .2361717
                42 |{col 21}  -.2965807{col 33}   .0638487{col 44}  -4.65{col 53}   0.000{col 61}    -.4218155{col 74}   -.1713459
                43 |{col 21}   .1868963{col 33}   .070682{col 44}  2.64{col 53}   0.008{col 61}     .0482585{col 74}    .3255341
                44 |{col 21}   .1522888{col 33}   .0662406{col 44}  2.30{col 53}   0.022{col 61}     .0223625{col 74}    .2822151
                45 |{col 21}  -.2470279{col 33}   .0643487{col 44}  -3.84{col 53}   0.000{col 61}    -.3732434{col 74}   -.1208125
                46 |{col 21}   .0628626{col 33}   .0689386{col 44}  0.91{col 53}   0.362{col 61}    -.0723558{col 74}    .1980809
                47 |{col 21}  -.0670714{col 33}   .0635869{col 44}  -1.05{col 53}   0.292{col 61}    -.1917926{col 74}    .0576498
                48 |{col 21}   .0033731{col 33}   .0704187{col 44}  0.05{col 53}   0.962{col 61}    -.1347484{col 74}    .1414945
                49 |{col 21}   .4832356{col 33}   .06601{col 44}  7.32{col 53}   0.000{col 61}     .3537616{col 74}    .6127096
                51 |{col 21}  -.0149128{col 33}   .0612717{col 44}  -0.24{col 53}   0.808{col 61}     -.135093{col 74}    .1052673
                52 |{col 21}  -.3350273{col 33}   .0626927{col 44}  -5.34{col 53}   0.000{col 61}    -.4579947{col 74}   -.2120599
                53 |{col 21}   .1034905{col 33}   .0681909{col 44}  1.52{col 53}   0.129{col 61}    -.0302611{col 74}    .2372422
                54 |{col 21}  -.1074211{col 33}   .0653267{col 44}  -1.64{col 53}   0.100{col 61}    -.2355548{col 74}    .0207125
                56 |{col 21}  -.0089275{col 33}   .0665887{col 44}  -0.13{col 53}   0.893{col 61}    -.1395366{col 74}    .1216816
                63 |{col 21}  -.1236058{col 33}   .0778516{col 44}  -1.59{col 53}   0.113{col 61}    -.2763063{col 74}    .0290947
                66 |{col 21}  -.1191248{col 33}   .0930812{col 44}  -1.28{col 53}   0.201{col 61}    -.3016971{col 74}    .0634476
                67 |{col 21}  -.3221286{col 33}   .0640181{col 44}  -5.03{col 53}   0.000{col 61}    -.4476957{col 74}   -.1965616
                71 |{col 21}  -.0452617{col 33}   .0751972{col 44}  -0.60{col 53}   0.547{col 61}    -.1927557{col 74}    .1022322
                72 |{col 21}  -.1849127{col 33}   .0750326{col 44}  -2.46{col 53}   0.014{col 61}    -.3320839{col 74}   -.0377414
                73 |{col 21}   .0056553{col 33}   .0771419{col 44}  0.07{col 53}   0.942{col 61}    -.1456531{col 74}    .1569637
                    |               _cons |{col 21}  -.6523697{col 33}   .4509659{col 44}  -1.45{col 53}   0.148{col 61}    -1.536908{col 74}   
.2321685 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,578 F(102,
1473) = .  Prob > F = .  R-squared = 0.5644 Root MSE = .20599
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} ww2_vol_pop40{col 21}|
Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0268769{col 33}  
.0174375{col 44}  1.54{col 53}   0.123{col 61}     -.007328{col 74}    .0610818          ww1_vol_sh |{col 21}   .0858332{col 33}   .0312221{col
44}  2.75{col 53}   0.006{col 61}     .0245886{col 74}    .1470778 ww1_awards_pop10_is |{col 21}   .0283798{col 33}   .1194719{col 44}  0.24{col
53}   0.812{col 61}    -.2059734{col 74}    .262733              lpop30 |{col 21}  -.0212854{col 33}   .0127906{col 44}  -1.66{col
53}   0.096{col 61}    -.0463752{col 74}    .0038045            c30unemp |{col 21}   .5018395{col 33}   .2196148{col 44}  2.29{col
53}   0.022{col 61}     .0710484{col 74}    .9326307           c30urban1 |{col 21}  -.0026875{col 33}   .0156668{col 44}  -0.17{col
53}   0.864{col 61}    -.0334192{col 74}    .0280442             c30farm |{col 21}  -.1106248{col 33}   .069431{col 44}  -1.59{col
53}   0.111{col 61}     -.246819{col 74}    .0255694             iYf_T29 |{col 21}  -.0198022{col 33}   .0182003{col 44}  -1.09{col
53}   0.277{col 61}    -.0555036{col 74}    .0158991            MEAN9628 |{col 21}  -.0005114{col 33}   .0006063{col 44}  -0.84{col
53}   0.399{col 61}    -.0017008{col 74}    .000678              c30men |{col 21}  -2.140562{col 33}   .5590733{col 44}  -3.83{col
53}   0.000{col 61}    -3.237227{col 74}   -1.043897            c30black |{col 21}  -.3529835{col 33}   .057077{col 44}  -6.18{col
53}   0.000{col 61}    -.4649444{col 74}   -.2410227              c30jap |{col 21}  -1.273904{col 33}   1.933092{col 44}  -0.66{col
53}   0.510{col 61}    -5.065811{col 74}    2.518003              c30deu |{col 21}  -.4013433{col 33}   .1933118{col 44}  -2.08{col
53}   0.038{col 61}    -.7805391{col 74}   -.0221475              c30ita |{col 21}  -.3528844{col 33}   .2822927{col 44}  -1.25{col
53}   0.211{col 61}    -.9066229{col 74}    .200854              c30vet |{col 21}   .6467228{col 33}   .305161{col 44}  2.12{col 53}   0.034{col
61}     .0481264{col 74}    1.245319            lc40wage |{col 21}   .2374379{col 33}   .0438325{col 44}  5.42{col 53}   0.000{col 61}    
.1514571{col 74}    .3234188       iwarconpro_PC |{col 21}   -.026679{col 33}   .0108642{col 44}  -2.46{col 53}   0.014{col 61}    -.0479901{col
74}    -.005368                     |        closestbor_n |                  2 |{col 21}   .0469377{col 33}   .0437675{col 44}  1.07{col
53}   0.284{col 61}    -.0389157{col 74}    .132791                  3 |{col 21}   .0060148{col 33}   .042086{col 44}  0.14{col 53}   0.886{col
61}     -.07654{col 74}    .0885696                  4 |{col 21}  -.1800368{col 33}   .0474685{col 44}  -3.79{col 53}   0.000{col
61}    -.2731499{col 74}   -.0869237                  5 |{col 21}   -.305154{col 33}   .1589242{col 44}  -1.92{col 53}   0.055{col
61}    -.6168959{col 74}    .0065879                  8 |{col 21}  -.2127612{col 33}   .1202161{col 44}  -1.77{col 53}   0.077{col
61}    -.4485742{col 74}    .0230517                  9 |{col 21}  -.6008236{col 33}   .1115709{col 44}  -5.39{col 53}   0.000{col
61}    -.8196785{col 74}   -.3819688                 10 |{col 21}  -.2530488{col 33}   .0424645{col 44}  -5.96{col 53}   0.000{col
61}    -.3363462{col 74}   -.1697514                 11 |{col 21}  -.0901905{col 33}   .0614379{col 44}  -1.47{col 53}   0.142{col
61}    -.2107057{col 74}    .0303247                 12 |{col 21}  -.3573126{col 33}   .0452009{col 44}  -7.90{col 53}   0.000{col
61}    -.4459776{col 74}   -.2686475                 13 |{col 21}  -.2253281{col 33}   .0639782{col 44}  -3.52{col 53}   0.000{col
61}    -.3508262{col 74}   -.0998299                 14 |{col 21}  -.1245352{col 33}   .0575123{col 44}  -2.17{col 53}   0.031{col 61}    
-.23735{col 74}   -.0117205                 15 |{col 21}  -.2028102{col 33}   .043694{col 44}  -4.64{col 53}   0.000{col 61}    -.2885193{col
74}   -.1171011                 16 |{col 21}   .029128{col 33}   .1013845{col 44}  0.29{col 53}   0.774{col 61}    -.1697454{col 74}    .2280015
                17 |{col 21}  -.1117997{col 33}   .0760078{col 44}  -1.47{col 53}   0.142{col 61}    -.2608948{col 74}    .0372955
                20 |{col 21}  -.1067361{col 33}   .2341011{col 44}  -0.46{col 53}   0.649{col 61}    -.5659432{col 74}    .352471
                22 |{col 21}  -.1475591{col 33}   .1035725{col 44}  -1.42{col 53}   0.154{col 61}    -.3507244{col 74}    .0556061
                24 |{col 21}  -.1382055{col 33}   .0681071{col 44}  -2.03{col 53}   0.043{col 61}    -.2718028{col 74}   -.0046082
                25 |{col 21}  -.1324648{col 33}   .0979373{col 44}  -1.35{col 53}   0.176{col 61}    -.3245762{col 74}    .0596467
                26 |{col 21}   -.158665{col 33}   .0585431{col 44}  -2.71{col 53}   0.007{col 61}    -.2735017{col 74}   -.0438283
                27 |{col 21}  -.3129219{col 33}   .0486849{col 44}  -6.43{col 53}   0.000{col 61}     -.408421{col 74}   -.2174228
                28 |{col 21}  -.3126084{col 33}   .0831598{col 44}  -3.76{col 53}   0.000{col 61}    -.4757326{col 74}   -.1494842
                29 |{col 21}  -.3668327{col 33}   .0693229{col 44}  -5.29{col 53}   0.000{col 61}    -.5028148{col 74}   -.2308506
                30 |{col 21}   -.503293{col 33}   .0535635{col 44}  -9.40{col 53}   0.000{col 61}    -.6083619{col 74}   -.3982241
                32 |{col 21}   .0890092{col 33}   .0482017{col 44}  1.85{col 53}   0.065{col 61}     -.005542{col 74}    .1835605
                33 |{col 21}   -.130144{col 33}   .0481515{col 44}  -2.70{col 53}   0.007{col 61}    -.2245968{col 74}   -.0356913
                34 |{col 21}   .0224869{col 33}   .0453261{col 44}  0.50{col 53}   0.620{col 61}    -.0664235{col 74}    .1113974
                35 |{col 21}  -.0827535{col 33}   .0636194{col 44}  -1.30{col 53}   0.194{col 61}    -.2075477{col 74}    .0420407
                36 |{col 21}   .0135744{col 33}   .0650054{col 44}  0.21{col 53}   0.835{col 61}    -.1139387{col 74}    .1410875
                37 |{col 21}   -.271382{col 33}   .0550133{col 44}  -4.93{col 53}   0.000{col 61}    -.3792947{col 74}   -.1634692
                38 |{col 21}  -.1145853{col 33}   .063982{col 44}  -1.79{col 53}   0.074{col 61}    -.2400909{col 74}    .0109204
                39 |{col 21}  -.2392353{col 33}   .0573192{col 44}  -4.17{col 53}   0.000{col 61}    -.3516712{col 74}   -.1267994
                40 |{col 21}   .110896{col 33}   .0746726{col 44}  1.49{col 53}   0.138{col 61}    -.0355799{col 74}    .2573719
                41 |{col 21}  -.0702899{col 33}   .0782563{col 44}  -0.90{col 53}   0.369{col 61}    -.2237954{col 74}    .0832157
                42 |{col 21}  -.1130139{col 33}   .0495554{col 44}  -2.28{col 53}   0.023{col 61}    -.2102206{col 74}   -.0158073
                43 |{col 21}   .0259548{col 33}   .0723222{col 44}  0.36{col 53}   0.720{col 61}    -.1159107{col 74}    .1678202
                44 |{col 21}  -.1906211{col 33}   .071395{col 44}  -2.67{col 53}   0.008{col 61}    -.3306679{col 74}   -.0505744
                45 |{col 21}  -.0604514{col 33}   .0654242{col 44}  -0.92{col 53}   0.356{col 61}    -.1887859{col 74}    .0678831
                46 |{col 21}  -.0452577{col 33}   .0660443{col 44}  -0.69{col 53}   0.493{col 61}    -.1748085{col 74}    .0842931
                47 |{col 21}   -.074889{col 33}   .0471156{col 44}  -1.59{col 53}   0.112{col 61}    -.1673098{col 74}    .0175318
                48 |{col 21}  -.1108618{col 33}   .0614845{col 44}  -1.80{col 53}   0.072{col 61}    -.2314682{col 74}    .0097447
                49 |{col 21}  -.1993533{col 33}   .0511744{col 44}  -3.90{col 53}   0.000{col 61}    -.2997358{col 74}   -.0989707
                54 |{col 21}   .0210452{col 33}   .0570108{col 44}  0.37{col 53}   0.712{col 61}    -.0907859{col 74}    .1328763
                57 |{col 21}   .1143302{col 33}   .082247{col 44}  1.39{col 53}   0.165{col 61}    -.0470035{col 74}    .2756639
                58 |{col 21}   .0803661{col 33}   .154453{col 44}  0.52{col 53}   0.603{col 61}    -.2226053{col 74}    .3833374
                59 |{col 21}   -.099815{col 33}   .046541{col 44}  -2.14{col 53}   0.032{col 61}    -.1911086{col 74}   -.0085214
                60 |{col 21}  -.1311193{col 33}   .0443289{col 44}  -2.96{col 53}   0.003{col 61}    -.2180738{col 74}   -.0441647
                61 |{col 21}   .2636657{col 33}   .0901191{col 44}  2.93{col 53}   0.003{col 61}     .0868903{col 74}    .4404411
                62 |{col 21}   .0549803{col 33}   .0766174{col 44}  0.72{col 53}   0.473{col 61}    -.0953105{col 74}    .2052712
                63 |{col 21}  -.1120337{col 33}   .0540943{col 44}  -2.07{col 53}   0.039{col 61}    -.2181439{col 74}   -.0059236
                64 |{col 21}   .0820788{col 33}   .0752008{col 44}  1.09{col 53}   0.275{col 61}    -.0654333{col 74}    .2295908
                65 |{col 21}   -.018649{col 33}   .0972096{col 44}  -0.19{col 53}   0.848{col 61}     -.209333{col 74}    .172035
                66 |{col 21}  -.3770447{col 33}   .0506978{col 44}  -7.44{col 53}   0.000{col 61}    -.4764924{col 74}    -.277597
                67 |{col 21}  -.3588243{col 33}   .0507309{col 44}  -7.07{col 53}   0.000{col 61}    -.4583368{col 74}   -.2593118
                68 |{col 21}  -.2796714{col 33}   .0762095{col 44}  -3.67{col 53}   0.000{col 61}    -.4291622{col 74}   -.1301807
                69 |{col 21}   .0275406{col 33}   .0576386{col 44}  0.48{col 53}   0.633{col 61}    -.0855219{col 74}    .1406031
                70 |{col 21}  -.0551686{col 33}   .078078{col 44}  -0.71{col 53}   0.480{col 61}    -.2083246{col 74}    .0979874
                71 |{col 21}  -.1008572{col 33}   .0692756{col 44}  -1.46{col 53}   0.146{col 61}    -.2367464{col 74}    .0350321
                72 |{col 21}   .025381{col 33}   .0855316{col 44}  0.30{col 53}   0.767{col 61}    -.1423958{col 74}    .1931577
                73 |{col 21}  -.2620247{col 33}   .053253{col 44}  -4.92{col 53}   0.000{col 61}    -.3664844{col 74}    -.157565
                74 |{col 21}  -.0072897{col 33}   .0689212{col 44}  -0.11{col 53}   0.916{col 61}    -.1424839{col 74}    .1279045
                77 |{col 21}   .0872556{col 33}   .0672315{col 44}  1.30{col 53}   0.195{col 61}    -.0446241{col 74}    .2191353
                78 |{col 21}  -.1691793{col 33}   .0456957{col 44}  -3.70{col 53}   0.000{col 61}    -.2588149{col 74}   -.0795438
                80 |{col 21}   .1626049{col 33}   .0946137{col 44}  1.72{col 53}   0.086{col 61}    -.0229871{col 74}    .3481969
                81 |{col 21}  -.1747802{col 33}   .0741223{col 44}  -2.36{col 53}   0.019{col 61}    -.3201768{col 74}   -.0293836
                82 |{col 21}   .3095098{col 33}   .1651473{col 44}  1.87{col 53}   0.061{col 61}    -.0144392{col 74}    .6334587
                83 |{col 21}   .0810639{col 33}   .0648947{col 44}  1.25{col 53}   0.212{col 61}     -.046232{col 74}    .2083599
                84 |{col 21}   .1565808{col 33}   .1213836{col 44}  1.29{col 53}   0.197{col 61}    -.0815223{col 74}    .3946838
                87 |{col 21}   -.163104{col 33}   .0942811{col 44}  -1.73{col 53}   0.084{col 61}    -.3480436{col 74}    .0218356
                88 |{col 21}  -.3582571{col 33}   .0663852{col 44}  -5.40{col 53}   0.000{col 61}    -.4884766{col 74}   -.2280376
                89 |{col 21}   .1668728{col 33}   .0789191{col 44}  2.11{col 53}   0.035{col 61}     .012067{col 74}    .3216786
                90 |{col 21}  -.2033047{col 33}   .07773{col 44}  -2.62{col 53}   0.009{col 61}     -.355778{col 74}   -.0508315
                91 |{col 21}  -.2666478{col 33}   .0632013{col 44}  -4.22{col 53}   0.000{col 61}    -.3906219{col 74}   -.1426736
                93 |{col 21}   .488694{col 33}   .1140334{col 44}  4.29{col 53}   0.000{col 61}     .2650088{col 74}    .7123793
                94 |{col 21}  -.3239272{col 33}   .1444277{col 44}  -2.24{col 53}   0.025{col 61}    -.6072331{col 74}   -.0406213
                95 |{col 21}  -.1383731{col 33}   .0557639{col 44}  -2.48{col 53}   0.013{col 61}    -.2477583{col 74}    -.028988
                96 |{col 21}  -.0180377{col 33}   .0686293{col 44}  -0.26{col 53}   0.793{col 61}    -.1526594{col 74}    .1165839
                97 |{col 21}  -.0345038{col 33}   .0429329{col 44}  -0.80{col 53}   0.422{col 61}    -.1187198{col 74}    .0497123
                98 |{col 21}  -.0129713{col 33}   .0526665{col 44}  -0.25{col 53}   0.805{col 61}    -.1162807{col 74}    .090338
                99 |{col 21}  -.2400849{col 33}   .0444932{col 44}  -5.40{col 53}   0.000{col 61}    -.3273616{col 74}   -.1528082
               101 |{col 21}  -.2799919{col 33}   .0636001{col 44}  -4.40{col 53}   0.000{col 61}    -.4047482{col 74}   -.1552355
               102 |{col 21}  -.1537718{col 33}   .0537785{col 44}  -2.86{col 53}   0.004{col 61}    -.2592624{col 74}   -.0482811
               103 |{col 21}   .277593{col 33}   .0533301{col 44}  5.21{col 53}   0.000{col 61}     .1729819{col 74}    .382204
               104 |{col 21}  -.1062289{col 33}   .0736696{col 44}  -1.44{col 53}   0.150{col 61}    -.2507375{col 74}    .0382797
               105 |{col 21}  -.0407109{col 33}   .0749386{col 44}  -0.54{col 53}   0.587{col 61}    -.1877087{col 74}    .1062869
               107 |{col 21}  -.1364055{col 33}   .0609621{col 44}  -2.24{col 53}   0.025{col 61}    -.2559872{col 74}   -.0168238
               108 |{col 21}   -.272717{col 33}   .1520119{col 44}  -1.79{col 53}   0.073{col 61}    -.5708999{col 74}    .0254659
               109 |{col 21}  -.1550487{col 33}   .0474019{col 44}  -3.27{col 53}   0.001{col 61}    -.2480312{col 74}   -.0620663
                    |               _cons |{col 21}   .3948491{col 33}   .4048006{col 44}  0.98{col 53}   0.330{col 61}     -.399198{col 74}   
1.188896 ------------------------------------------------------------------------------------- note: statei dropped from exact() varlist due to
collinearity Matching estimator:  Average Treatment Effect for the Treated Weighting matrix: inverse variance {col 45}Number of obs {col 68}=
2329 {col 45}Number of matches (m) = 3 ------------------------------------------------------------------------------ {col 1}ww2_vol_p~40{col
14}| Coef.{col 26} Std. Err.{col 38} z{col 46} P>|z|{col 54} [95% Con{col 67}f. Interval]
-------------+----------------------------------------------------------------         SATT |{col 14}   .0586364{col 26}   .0222836{col 37} 
2.63{col 46}   0.009{col 54}     .0149614{col 67}    .1023115 ------------------------------------------------------------------------------ {p
0 8 4}Matching variables:  lat_nd lon_nd ww1_vol_sh lpop30{p_end} {p 0 8 4}Exact matching variables: stateicpsr c30urban1{p_end} {p 3 8
4}(Percent of exact matches: 81.873876) {p} number of observations (_N) was 0, now 5 {p_end} (5 missing values generated) (5 missing values
generated) (5 missing values generated) (5 missing values generated) (5 missing values generated) Linear regression Number of obs = 2,329 F(55,
2273) = 12.54 Prob > F = 0.0000 R-squared = 0.1858 Root MSE = .11655
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1}ww2_awards_pop40_is{col
21}| Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0224353{col 33}  
.012969{col 44}  1.73{col 53}   0.084{col 61}     -.002997{col 74}    .0478677          ww1_vol_sh |{col 21}   .0567001{col 33}   .0206198{col
44}  2.75{col 53}   0.006{col 61}     .0162645{col 74}    .0971356 ww1_awards_pop10_is |{col 21}   .0358764{col 33}   .0341077{col 44}  1.05{col
53}   0.293{col 61}    -.0310091{col 74}    .102762              lpop30 |{col 21}  -.0175697{col 33}   .0120292{col 44}  -1.46{col
53}   0.144{col 61}     -.041159{col 74}    .0060196            c30unemp |{col 21}   .1192512{col 33}   .1446239{col 44}  0.82{col
53}   0.410{col 61}    -.1643575{col 74}    .4028599           c30urban1 |{col 21}   .0095073{col 33}   .0062524{col 44}  1.52{col
53}   0.129{col 61}    -.0027538{col 74}    .0217684             c30farm |{col 21}   .0356015{col 33}   .0264233{col 44}  1.35{col
53}   0.178{col 61}    -.0162148{col 74}    .0874177             iYf_T29 |{col 21}   .0154792{col 33}   .0089103{col 44}  1.74{col
53}   0.082{col 61}     -.001994{col 74}    .0329524            MEAN9628 |{col 21}   .000081{col 33}   .0003416{col 44}  0.24{col
53}   0.813{col 61}    -.0005889{col 74}    .0007509              c30men |{col 21}  -.5979399{col 33}   .2611234{col 44}  -2.29{col
53}   0.022{col 61}    -1.110005{col 74}   -.0858748            c30black |{col 21}  -.0504227{col 33}   .0224206{col 44}  -2.25{col
53}   0.025{col 61}    -.0943896{col 74}   -.0064558              c30jap |{col 21}   .9391403{col 33}   1.285926{col 44}  0.73{col
53}   0.465{col 61}     -1.58257{col 74}    3.460851              c30deu |{col 21}   .0958424{col 33}   .1331119{col 44}  0.72{col
53}   0.472{col 61}    -.1651912{col 74}    .356876              c30ita |{col 21}  -.0160179{col 33}   .164022{col 44}  -0.10{col
53}   0.922{col 61}    -.3376663{col 74}    .3056306              c30vet |{col 21}   .240809{col 33}   .1200457{col 44}  2.01{col
53}   0.045{col 61}     .0053984{col 74}    .4762197            lc40wage |{col 21}   .0617875{col 33}   .0201715{col 44}  3.06{col
53}   0.002{col 61}     .0222311{col 74}    .1013439       iwarconpro_PC |{col 21}   .0025517{col 33}   .0046564{col 44}  0.55{col
53}   0.584{col 61}    -.0065796{col 74}    .011683                     |          stateicpsr |                  2 |{col 21}  -.0378123{col
33}   .0310207{col 44}  -1.22{col 53}   0.223{col 61}    -.0986441{col 74}    .0230195                  3 |{col 21}  -.0103373{col 33}  
.0214012{col 44}  -0.48{col 53}   0.629{col 61}    -.0523052{col 74}    .0316305                  4 |{col 21}  -.0343225{col 33}   .0355168{col
44}  -0.97{col 53}   0.334{col 61}    -.1039712{col 74}    .0353262                  5 |{col 21}   .0523741{col 33}   .0504822{col 44}  1.04{col
53}   0.300{col 61}    -.0466219{col 74}    .15137                  6 |{col 21}  -.0287632{col 33}   .0363723{col 44}  -0.79{col 53}   0.429{col
61}    -.1000895{col 74}    .0425631                 11 |{col 21}  -.0535878{col 33}   .0273955{col 44}  -1.96{col 53}   0.051{col
61}    -.1073106{col 74}    .000135                 12 |{col 21}  -.0439979{col 33}   .0229275{col 44}  -1.92{col 53}   0.055{col
61}    -.0889589{col 74}    .0009631                 13 |{col 21}  -.0155257{col 33}   .0208637{col 44}  -0.74{col 53}   0.457{col
61}    -.0564396{col 74}    .0253882                 14 |{col 21}  -.0488293{col 33}   .0224126{col 44}  -2.18{col 53}   0.029{col
61}    -.0927806{col 74}   -.0048779                 21 |{col 21}  -.0463706{col 33}   .0316699{col 44}  -1.46{col 53}   0.143{col
61}    -.1084756{col 74}    .0157345                 22 |{col 21}  -.0685787{col 33}   .0293334{col 44}  -2.34{col 53}   0.019{col
61}    -.1261019{col 74}   -.0110556                 23 |{col 21}  -.0465094{col 33}   .0352482{col 44}  -1.32{col 53}   0.187{col
61}    -.1156315{col 74}    .0226127                 24 |{col 21}  -.0312327{col 33}   .0291205{col 44}  -1.07{col 53}   0.284{col
61}    -.0883383{col 74}    .0258729                 25 |{col 21}  -.0798687{col 33}   .0452078{col 44}  -1.77{col 53}   0.077{col
61}    -.1685215{col 74}    .0087841                 40 |{col 21}  -.0229854{col 33}   .0233461{col 44}  -0.98{col 53}   0.325{col
61}    -.0687673{col 74}    .0227964                 41 |{col 21}  -.0296973{col 33}   .0236875{col 44}  -1.25{col 53}   0.210{col
61}    -.0761487{col 74}    .0167541                 42 |{col 21}  -.0467803{col 33}   .0232289{col 44}  -2.01{col 53}   0.044{col
61}    -.0923324{col 74}   -.0012282                 43 |{col 21}   .0009499{col 33}   .0317099{col 44}  0.03{col 53}   0.976{col
61}    -.0612335{col 74}    .0631334                 44 |{col 21}  -.0335842{col 33}   .0237077{col 44}  -1.42{col 53}   0.157{col
61}    -.0800752{col 74}    .0129067                 45 |{col 21}  -.0348613{col 33}   .0233041{col 44}  -1.50{col 53}   0.135{col
61}    -.0805608{col 74}    .0108382                 46 |{col 21}  -.0090983{col 33}   .0247662{col 44}  -0.37{col 53}   0.713{col
61}    -.0576649{col 74}    .0394684                 47 |{col 21}  -.0387923{col 33}   .0221516{col 44}  -1.75{col 53}   0.080{col
61}    -.0822317{col 74}    .0046471                 48 |{col 21}  -.0289798{col 33}   .0252862{col 44}  -1.15{col 53}   0.252{col
61}    -.0785663{col 74}    .0206067                 49 |{col 21}   .0044811{col 33}   .0238381{col 44}  0.19{col 53}   0.851{col
61}    -.0422657{col 74}    .0512279                 51 |{col 21}  -.0347781{col 33}   .0232936{col 44}  -1.49{col 53}   0.136{col 61}    
-.080457{col 74}    .0109009                 52 |{col 21}  -.0283768{col 33}   .0330661{col 44}  -0.86{col 53}   0.391{col 61}    -.0932198{col
74}    .0364661                 53 |{col 21}  -.0176927{col 33}   .0253562{col 44}  -0.70{col 53}   0.485{col 61}    -.0674163{col 74}   
.0320309                 54 |{col 21}  -.0309542{col 33}   .0225352{col 44}  -1.37{col 53}   0.170{col 61}    -.0751458{col 74}    .0132375
                56 |{col 21}  -.0348911{col 33}   .0241999{col 44}  -1.44{col 53}   0.150{col 61}    -.0823472{col 74}    .0125651
                61 |{col 21}   .0046837{col 33}   .0455495{col 44}  0.10{col 53}   0.918{col 61}    -.0846394{col 74}    .0940067
                63 |{col 21}   .0022925{col 33}   .0448993{col 44}  0.05{col 53}   0.959{col 61}    -.0857553{col 74}    .0903403
                64 |{col 21}   .1114907{col 33}   .0500197{col 44}  2.23{col 53}   0.026{col 61}     .0134015{col 74}    .2095798
                65 |{col 21}  -.0148737{col 33}   .0669601{col 44}  -0.22{col 53}   0.824{col 61}    -.1461829{col 74}    .1164355
                66 |{col 21}  -.0163989{col 33}   .0329215{col 44}  -0.50{col 53}   0.618{col 61}    -.0809583{col 74}    .0481606
                67 |{col 21}   .0022497{col 33}   .0432151{col 44}  0.05{col 53}   0.958{col 61}    -.0824954{col 74}    .0869948
                71 |{col 21}   .0697472{col 33}   .05159{col 44}  1.35{col 53}   0.177{col 61}    -.0314212{col 74}    .1709156
                72 |{col 21}  -.0140163{col 33}   .0395004{col 44}  -0.35{col 53}   0.723{col 61}    -.0914769{col 74}    .0634443
                73 |{col 21}   .0191447{col 33}   .0381242{col 44}  0.50{col 53}   0.616{col 61}    -.0556172{col 74}    .0939066
                    |               _cons |{col 21}  -.0009659{col 33}   .1738696{col 44}  -0.01{col 53}   0.996{col 61}    -.3419255{col 74}   
.3399937 ------------------------------------------------------------------------------------- (sum of wgt is 2,138.5256919722) Linear
regression Number of obs = 2,329 F(55, 2273) = 7.82 Prob > F = 0.0000 R-squared = 0.1588 Root MSE = .12542
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1}ww2_awards_pop40_is{col
21}| Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .020125{col 33}  
.016922{col 44}  1.19{col 53}   0.234{col 61}    -.0130591{col 74}    .0533092          ww1_vol_sh |{col 21}   .0443022{col 33}   .0223345{col
44}  1.98{col 53}   0.047{col 61}     .0005041{col 74}    .0881004 ww1_awards_pop10_is |{col 21}   .0299421{col 33}   .0338607{col 44}  0.88{col
53}   0.377{col 61}    -.0364591{col 74}    .0963433              lpop30 |{col 21}  -.0216162{col 33}   .0144966{col 44}  -1.49{col
53}   0.136{col 61}    -.0500441{col 74}    .0068118            c30unemp |{col 21}   .1842254{col 33}   .1812766{col 44}  1.02{col
53}   0.310{col 61}    -.1712595{col 74}    .5397104           c30urban1 |{col 21}   .0137309{col 33}   .0099406{col 44}  1.38{col
53}   0.167{col 61}    -.0057627{col 74}    .0332244             c30farm |{col 21}   .0451384{col 33}   .0360274{col 44}  1.25{col
53}   0.210{col 61}    -.0255117{col 74}    .1157885             iYf_T29 |{col 21}   .0260162{col 33}   .0113566{col 44}  2.29{col
53}   0.022{col 61}     .0037459{col 74}    .0482865            MEAN9628 |{col 21}   -.000038{col 33}   .0004359{col 44}  -0.09{col
53}   0.931{col 61}    -.0008927{col 74}    .0008168              c30men |{col 21}  -.6540434{col 33}   .3116322{col 44}  -2.10{col
53}   0.036{col 61}    -1.265157{col 74}    -.04293            c30black |{col 21}  -.0415135{col 33}   .0349268{col 44}  -1.19{col
53}   0.235{col 61}    -.1100053{col 74}    .0269783              c30jap |{col 21}   1.549082{col 33}   .8289901{col 44}  1.87{col
53}   0.062{col 61}    -.0765747{col 74}    3.174738              c30deu |{col 21}   .0210494{col 33}   .1033575{col 44}  0.20{col
53}   0.839{col 61}    -.1816356{col 74}    .2237344              c30ita |{col 21}   .0360121{col 33}   .1884873{col 44}  0.19{col
53}   0.848{col 61}     -.333613{col 74}    .4056372              c30vet |{col 21}   .2703906{col 33}   .1591475{col 44}  1.70{col
53}   0.089{col 61}    -.0416989{col 74}    .5824802            lc40wage |{col 21}   .0553646{col 33}   .0302772{col 44}  1.83{col
53}   0.068{col 61}    -.0040092{col 74}    .1147384       iwarconpro_PC |{col 21}   .0056433{col 33}   .0057594{col 44}  0.98{col
53}   0.327{col 61}    -.0056509{col 74}    .0169375                     |          stateicpsr |                  2 |{col 21}  -.0268962{col
33}   .0323602{col 44}  -0.83{col 53}   0.406{col 61}    -.0903548{col 74}    .0365623                  3 |{col 21}  -.0236121{col 33}  
.0264175{col 44}  -0.89{col 53}   0.372{col 61}    -.0754171{col 74}    .0281929                  4 |{col 21}  -.0392315{col 33}   .037976{col
44}  -1.03{col 53}   0.302{col 61}    -.1137028{col 74}    .0352398                  5 |{col 21}   .0675497{col 33}   .052975{col 44}  1.28{col
53}   0.202{col 61}    -.0363347{col 74}    .1714341                  6 |{col 21}  -.0262219{col 33}   .0397139{col 44}  -0.66{col
53}   0.509{col 61}    -.1041012{col 74}    .0516573                 11 |{col 21}  -.0537476{col 33}   .0326296{col 44}  -1.65{col
53}   0.100{col 61}    -.1177344{col 74}    .0102392                 12 |{col 21}  -.0587694{col 33}   .026047{col 44}  -2.26{col
53}   0.024{col 61}    -.1098478{col 74}   -.0076911                 13 |{col 21}  -.0126315{col 33}   .0245076{col 44}  -0.52{col
53}   0.606{col 61}     -.060691{col 74}    .035428                 14 |{col 21}   -.055878{col 33}   .0241597{col 44}  -2.31{col
53}   0.021{col 61}    -.1032555{col 74}   -.0085006                 21 |{col 21}  -.0386071{col 33}   .0305362{col 44}  -1.26{col
53}   0.206{col 61}    -.0984888{col 74}    .0212745                 22 |{col 21}   -.062998{col 33}   .029215{col 44}  -2.16{col
53}   0.031{col 61}    -.1202888{col 74}   -.0057071                 23 |{col 21}  -.0441765{col 33}   .0335469{col 44}  -1.32{col
53}   0.188{col 61}    -.1099622{col 74}    .0216093                 24 |{col 21}  -.0293054{col 33}   .0285283{col 44}  -1.03{col
53}   0.304{col 61}    -.0852496{col 74}    .0266389                 25 |{col 21}  -.0716794{col 33}   .0385178{col 44}  -1.86{col
53}   0.063{col 61}    -.1472132{col 74}    .0038543                 40 |{col 21}  -.0284615{col 33}   .0305724{col 44}  -0.93{col
53}   0.352{col 61}    -.0884142{col 74}    .0314912                 41 |{col 21}  -.0308945{col 33}   .031566{col 44}  -0.98{col
53}   0.328{col 61}    -.0927958{col 74}    .0310067                 42 |{col 21}  -.0445317{col 33}   .028143{col 44}  -1.58{col
53}   0.114{col 61}    -.0997203{col 74}    .0106569                 43 |{col 21}  -.0399458{col 33}   .0376125{col 44}  -1.06{col
53}   0.288{col 61}    -.1137043{col 74}    .0338126                 44 |{col 21}  -.0457718{col 33}   .0320642{col 44}  -1.43{col
53}   0.154{col 61}    -.1086499{col 74}    .0171063                 45 |{col 21}  -.0417212{col 33}   .031579{col 44}  -1.32{col
53}   0.187{col 61}    -.1036477{col 74}    .0202054                 46 |{col 21}   .0245445{col 33}   .0382788{col 44}  0.64{col
53}   0.521{col 61}    -.0505205{col 74}    .0996094                 47 |{col 21}  -.0488548{col 33}   .02973{col 44}  -1.64{col 53}   0.100{col
61}    -.1071555{col 74}    .0094459                 48 |{col 21}  -.0626026{col 33}   .033038{col 44}  -1.89{col 53}   0.058{col
61}    -.1273904{col 74}    .0021853                 49 |{col 21}   .0202292{col 33}   .0289801{col 44}  0.70{col 53}   0.485{col 61}    
-.036601{col 74}    .0770594                 51 |{col 21}  -.0302817{col 33}   .0267486{col 44}  -1.13{col 53}   0.258{col 61}     -.082736{col
74}    .0221726                 52 |{col 21}  -.0229663{col 33}   .0394706{col 44}  -0.58{col 53}   0.561{col 61}    -.1003684{col 74}   
.0544359                 53 |{col 21}  -.0152755{col 33}   .0278503{col 44}  -0.55{col 53}   0.583{col 61}    -.0698902{col 74}    .0393391
                54 |{col 21}  -.0399965{col 33}   .0287388{col 44}  -1.39{col 53}   0.164{col 61}    -.0963535{col 74}    .0163605
                56 |{col 21}  -.0280282{col 33}   .0280188{col 44}  -1.00{col 53}   0.317{col 61}    -.0829733{col 74}    .0269169
                61 |{col 21}   .0180439{col 33}   .0451746{col 44}  0.40{col 53}   0.690{col 61}    -.0705439{col 74}    .1066317
                63 |{col 21}  -.0188975{col 33}   .0437822{col 44}  -0.43{col 53}   0.666{col 61}    -.1047547{col 74}    .0669597
                64 |{col 21}   .128661{col 33}   .0512943{col 44}  2.51{col 53}   0.012{col 61}     .0280725{col 74}    .2292494
                65 |{col 21}  -.0064273{col 33}   .0691103{col 44}  -0.09{col 53}   0.926{col 61}    -.1419531{col 74}    .1290986
                66 |{col 21}   .0011899{col 33}   .0354001{col 44}  0.03{col 53}   0.973{col 61}     -.06823{col 74}    .0706097
                67 |{col 21}   .0021108{col 33}   .0424675{col 44}  0.05{col 53}   0.960{col 61}    -.0811683{col 74}    .0853899
                71 |{col 21}   .040732{col 33}   .0404498{col 44}  1.01{col 53}   0.314{col 61}    -.0385905{col 74}    .1200544
                72 |{col 21}  -.0217948{col 33}   .0443323{col 44}  -0.49{col 53}   0.623{col 61}    -.1087308{col 74}    .0651411
                73 |{col 21}   .0487007{col 33}   .0422632{col 44}  1.15{col 53}   0.249{col 61}    -.0341778{col 74}    .1315792
                    |               _cons |{col 21}   .0832305{col 33}   .23797{col 44}  0.35{col 53}   0.727{col 61}    -.3834307{col 74}   
.5498916 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,670 F(50,
1619) = 14.76 Prob > F = 0.0000 R-squared = 0.1833 Root MSE = .10094
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1}ww2_awards_pop40_is{col
21}| Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0156839{col 33}  
.0093843{col 44}  1.67{col 53}   0.095{col 61}    -.0027228{col 74}    .0340905          ww1_vol_sh |{col 21}   .0217912{col 33}   .0142374{col
44}  1.53{col 53}   0.126{col 61}    -.0061346{col 74}    .0497169 ww1_awards_pop10_is |{col 21}   .0548245{col 33}   .0371518{col 44}  1.48{col
53}   0.140{col 61}    -.0180462{col 74}    .1276952              lpop30 |{col 21}  -.0057146{col 33}   .0051994{col 44}  -1.10{col
53}   0.272{col 61}    -.0159128{col 74}    .0044836            c30unemp |{col 21}  -.0469704{col 33}   .0756124{col 44}  -0.62{col
53}   0.535{col 61}    -.1952789{col 74}    .1013382           c30urban1 |{col 21}   .0090778{col 33}   .0080532{col 44}  1.13{col
53}   0.260{col 61}    -.0067181{col 74}    .0248737             c30farm |{col 21}   .00357{col 33}   .0293911{col 44}  0.12{col 53}   0.903{col
61}    -.0540785{col 74}    .0612185             iYf_T29 |{col 21}   .0087548{col 33}   .0068233{col 44}  1.28{col 53}   0.200{col
61}    -.0046287{col 74}    .0221383            MEAN9628 |{col 21}   .0002502{col 33}   .0003079{col 44}  0.81{col 53}   0.417{col
61}    -.0003538{col 74}    .0008542              c30men |{col 21}  -.3516945{col 33}   .250674{col 44}  -1.40{col 53}   0.161{col 61}    
-.843374{col 74}    .139985            c30black |{col 21}  -.0832084{col 33}   .0189454{col 44}  -4.39{col 53}   0.000{col 61}    -.1203685{col
74}   -.0460483              c30jap |{col 21}   2.104336{col 33}   .6427831{col 44}  3.27{col 53}   0.001{col 61}     .8435613{col 74}   
3.36511              c30deu |{col 21}   -.019973{col 33}   .0722285{col 44}  -0.28{col 53}   0.782{col 61}    -.1616441{col 74}    .1216981
             c30ita |{col 21}   .1479032{col 33}   .1388234{col 44}  1.07{col 53}   0.287{col 61}    -.1243891{col 74}    .4201956
             c30vet |{col 21}   .1772944{col 33}   .116874{col 44}  1.52{col 53}   0.129{col 61}    -.0519458{col 74}    .4065347
           lc40wage |{col 21}   .0545052{col 33}   .0189037{col 44}  2.88{col 53}   0.004{col 61}     .0174269{col 74}    .0915834
      iwarconpro_PC |{col 21}   .0021308{col 33}   .0051769{col 44}  0.41{col 53}   0.681{col 61}    -.0080232{col 74}    .0122849
                    |          stateicpsr |                  2 |{col 21}   .0002428{col 33}   .0309834{col 44}  0.01{col 53}   0.994{col 61}    
-.060529{col 74}    .0610147                  3 |{col 21}   .0168267{col 33}   .0218509{col 44}  0.77{col 53}   0.441{col 61}    -.0260324{col
74}    .0596857                  5 |{col 21}   .037924{col 33}   .0376598{col 44}  1.01{col 53}   0.314{col 61}    -.0359431{col 74}    .111791
                 6 |{col 21}  -.0304147{col 33}   .0720029{col 44}  -0.42{col 53}   0.673{col 61}    -.1716433{col 74}    .1108139
                12 |{col 21}   -.03769{col 33}   .0183037{col 44}  -2.06{col 53}   0.040{col 61}    -.0735914{col 74}   -.0017885
                13 |{col 21}   .0148892{col 33}   .0195749{col 44}  0.76{col 53}   0.447{col 61}    -.0235055{col 74}    .0532839
                14 |{col 21}  -.0169943{col 33}   .0197207{col 44}  -0.86{col 53}   0.389{col 61}    -.0556752{col 74}    .0216865
                21 |{col 21}   .0020546{col 33}   .0230548{col 44}  0.09{col 53}   0.929{col 61}    -.0431657{col 74}    .0472749
                22 |{col 21}   -.016746{col 33}   .0235635{col 44}  -0.71{col 53}   0.477{col 61}    -.0629642{col 74}    .0294723
                23 |{col 21}  -.0001215{col 33}   .0242883{col 44}  -0.01{col 53}   0.996{col 61}    -.0477612{col 74}    .0475182
                24 |{col 21}   .0158199{col 33}   .0222177{col 44}  0.71{col 53}   0.477{col 61}    -.0277586{col 74}    .0593985
                25 |{col 21}  -.0095336{col 33}   .026978{col 44}  -0.35{col 53}   0.724{col 61}     -.062449{col 74}    .0433819
                40 |{col 21}   .0204657{col 33}   .0269702{col 44}  0.76{col 53}   0.448{col 61}    -.0324345{col 74}    .073366
                41 |{col 21}   .0220972{col 33}   .0342476{col 44}  0.65{col 53}   0.519{col 61}    -.0450771{col 74}    .0892714
                42 |{col 21}   .0001013{col 33}   .0249686{col 44}  0.00{col 53}   0.997{col 61}    -.0488728{col 74}    .0490754
                43 |{col 21}   .0530532{col 33}   .0309768{col 44}  1.71{col 53}   0.087{col 61}    -.0077057{col 74}    .1138121
                44 |{col 21}   .0132077{col 33}   .0280983{col 44}  0.47{col 53}   0.638{col 61}    -.0419051{col 74}    .0683205
                45 |{col 21}   .0025758{col 33}   .0271423{col 44}  0.09{col 53}   0.924{col 61}     -.050662{col 74}    .0558135
                46 |{col 21}   .0388838{col 33}   .0287814{col 44}  1.35{col 53}   0.177{col 61}     -.017569{col 74}    .0953365
                47 |{col 21}  -.0106767{col 33}   .0257236{col 44}  -0.42{col 53}   0.678{col 61}    -.0611318{col 74}    .0397783
                48 |{col 21}   .0081366{col 33}   .0293219{col 44}  0.28{col 53}   0.781{col 61}    -.0493762{col 74}    .0656494
                49 |{col 21}   .0447375{col 33}   .0255841{col 44}  1.75{col 53}   0.081{col 61}     -.005444{col 74}    .0949189
                51 |{col 21}   .0081685{col 33}   .0248143{col 44}  0.33{col 53}   0.742{col 61}    -.0405031{col 74}    .05684
                52 |{col 21}  -.1087205{col 33}   .0256383{col 44}  -4.24{col 53}   0.000{col 61}    -.1590083{col 74}   -.0584327
                53 |{col 21}   .0185332{col 33}   .0257563{col 44}  0.72{col 53}   0.472{col 61}     -.031986{col 74}    .0690524
                54 |{col 21}   .0027771{col 33}   .0266111{col 44}  0.10{col 53}   0.917{col 61}    -.0494187{col 74}    .054973
                56 |{col 21}   .0041868{col 33}   .0254831{col 44}  0.16{col 53}   0.870{col 61}    -.0457966{col 74}    .0541701
                63 |{col 21}   .0589437{col 33}   .0498245{col 44}  1.18{col 53}   0.237{col 61}    -.0387836{col 74}    .156671
                66 |{col 21}  -.0281142{col 33}   .0376654{col 44}  -0.75{col 53}   0.456{col 61}    -.1019923{col 74}    .0457639
                67 |{col 21}  -.0378021{col 33}   .0505106{col 44}  -0.75{col 53}   0.454{col 61}    -.1368752{col 74}    .061271
                71 |{col 21}   .0493046{col 33}   .030426{col 44}  1.62{col 53}   0.105{col 61}    -.0103739{col 74}    .1089832
                72 |{col 21}   .0409775{col 33}   .0333724{col 44}  1.23{col 53}   0.220{col 61}    -.0244801{col 74}    .1064351
                73 |{col 21}   .049104{col 33}   .0345103{col 44}  1.42{col 53}   0.155{col 61}    -.0185856{col 74}    .1167936
                    |               _cons |{col 21}  -.1426672{col 33}   .1992041{col 44}  -0.72{col 53}   0.474{col 61}    -.5333923{col 74}   
.2480578 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,578 F(102,
1473) = .  Prob > F = .  R-squared = 0.2061 Root MSE = .11213
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1}ww2_awards_pop40_is{col
21}| Coef.{col 33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .0335954{col 33}  
.0140684{col 44}  2.39{col 53}   0.017{col 61}     .0059991{col 74}    .0611916          ww1_vol_sh |{col 21}   .0603536{col 33}   .0286469{col
44}  2.11{col 53}   0.035{col 61}     .0041606{col 74}    .1165466 ww1_awards_pop10_is |{col 21}   .0382695{col 33}   .0354273{col 44}  1.08{col
53}   0.280{col 61}    -.0312239{col 74}    .1077629              lpop30 |{col 21}  -.0133555{col 33}   .0145519{col 44}  -0.92{col
53}   0.359{col 61}    -.0419002{col 74}    .0151891            c30unemp |{col 21}   .045395{col 33}   .2294539{col 44}  0.20{col
53}   0.843{col 61}    -.4046962{col 74}    .4954862           c30urban1 |{col 21}   .0107387{col 33}   .0075467{col 44}  1.42{col
53}   0.155{col 61}    -.0040648{col 74}    .0255422             c30farm |{col 21}   .0365251{col 33}   .0415539{col 44}  0.88{col
53}   0.380{col 61}     -.044986{col 74}    .1180361             iYf_T29 |{col 21}   .0083066{col 33}   .0125898{col 44}  0.66{col
53}   0.509{col 61}    -.0163892{col 74}    .0330024            MEAN9628 |{col 21}  -.0003891{col 33}   .0004387{col 44}  -0.89{col
53}   0.375{col 61}    -.0012498{col 74}    .0004715              c30men |{col 21}   -.974669{col 33}   .3916925{col 44}  -2.49{col
53}   0.013{col 61}    -1.743003{col 74}   -.2063345            c30black |{col 21}  -.0445417{col 33}   .0316863{col 44}  -1.41{col
53}   0.160{col 61}    -.1066968{col 74}    .0176134              c30jap |{col 21}   1.319685{col 33}   1.544543{col 44}  0.85{col
53}   0.393{col 61}    -1.710054{col 74}    4.349423              c30deu |{col 21}   .1286526{col 33}   .1725274{col 44}  0.75{col
53}   0.456{col 61}    -.2097729{col 74}    .4670782              c30ita |{col 21}   .0783406{col 33}   .1897795{col 44}  0.41{col
53}   0.680{col 61}    -.2939263{col 74}    .4506075              c30vet |{col 21}   .1783635{col 33}   .1273094{col 44}  1.40{col
53}   0.161{col 61}    -.0713634{col 74}    .4280905            lc40wage |{col 21}   .0530125{col 33}   .0263404{col 44}  2.01{col
53}   0.044{col 61}     .0013438{col 74}    .1046813       iwarconpro_PC |{col 21}  -.0023954{col 33}   .0059103{col 44}  -0.41{col
53}   0.685{col 61}    -.0139889{col 74}    .0091982                     |        closestbor_n |                  2 |{col 21}   .0201768{col
33}   .0228136{col 44}  0.88{col 53}   0.377{col 61}    -.0245739{col 74}    .0649275                  3 |{col 21}   .0369395{col 33}  
.0250486{col 44}  1.47{col 53}   0.141{col 61}    -.0121953{col 74}    .0860743                  4 |{col 21}   .0023117{col 33}   .0258022{col
44}  0.09{col 53}   0.929{col 61}    -.0483014{col 74}    .0529247                  5 |{col 21}   .0362771{col 33}   .067531{col 44}  0.54{col
53}   0.591{col 61}    -.0961901{col 74}    .1687443                  8 |{col 21}   .0242376{col 33}   .0850957{col 44}  0.28{col
53}   0.776{col 61}    -.1426841{col 74}    .1911593                  9 |{col 21}  -.1011401{col 33}   .0472162{col 44}  -2.14{col
53}   0.032{col 61}    -.1937582{col 74}   -.0085219                 10 |{col 21}   .0419128{col 33}   .0255297{col 44}  1.64{col
53}   0.101{col 61}    -.0081656{col 74}    .0919912                 11 |{col 21}   .0371923{col 33}   .0293359{col 44}  1.27{col
53}   0.205{col 61}    -.0203523{col 74}    .094737                 12 |{col 21}   .0056464{col 33}   .0241917{col 44}  0.23{col 53}   0.815{col
61}    -.0418076{col 74}    .0531003                 13 |{col 21}   .0152123{col 33}   .0271498{col 44}  0.56{col 53}   0.575{col 61}    
-.038044{col 74}    .0684686                 14 |{col 21}   .0145374{col 33}   .0322746{col 44}  0.45{col 53}   0.652{col 61}    -.0487716{col
74}    .0778464                 15 |{col 21}   .0246653{col 33}   .0376323{col 44}  0.66{col 53}   0.512{col 61}    -.0491533{col 74}   
.0984839                 16 |{col 21}   .1537331{col 33}   .1156095{col 44}  1.33{col 53}   0.184{col 61}    -.0730437{col 74}    .3805099
                17 |{col 21}   .0978839{col 33}   .0639555{col 44}  1.53{col 53}   0.126{col 61}    -.0275697{col 74}    .2233376
                20 |{col 21}   .060243{col 33}   .0476396{col 44}  1.26{col 53}   0.206{col 61}    -.0332057{col 74}    .1536917
                22 |{col 21}   .0178703{col 33}   .1263874{col 44}  0.14{col 53}   0.888{col 61}     -.230048{col 74}    .2657887
                24 |{col 21}   .0406111{col 33}   .0417644{col 44}  0.97{col 53}   0.331{col 61}    -.0413129{col 74}    .1225351
                25 |{col 21}   .0781489{col 33}   .0438937{col 44}  1.78{col 53}   0.075{col 61}    -.0079519{col 74}    .1642497
                26 |{col 21}   .0697461{col 33}   .0352141{col 44}  1.98{col 53}   0.048{col 61}     .0006711{col 74}    .1388212
                27 |{col 21}   .0193019{col 33}   .0359255{col 44}  0.54{col 53}   0.591{col 61}    -.0511686{col 74}    .0897725
                28 |{col 21}  -.0091714{col 33}   .0465246{col 44}  -0.20{col 53}   0.844{col 61}    -.1004329{col 74}    .0820902
                29 |{col 21}  -.0022143{col 33}   .0316672{col 44}  -0.07{col 53}   0.944{col 61}     -.064332{col 74}    .0599034
                30 |{col 21}   .1455543{col 33}   .1455474{col 44}  1.00{col 53}   0.317{col 61}     -.139948{col 74}    .4310566
                32 |{col 21}   .0552696{col 33}   .0290851{col 44}  1.90{col 53}   0.058{col 61}     -.001783{col 74}    .1123222
                33 |{col 21}  -.0336552{col 33}   .0563684{col 44}  -0.60{col 53}   0.551{col 61}    -.1442261{col 74}    .0769157
                34 |{col 21}   .0169394{col 33}   .0246932{col 44}  0.69{col 53}   0.493{col 61}    -.0314982{col 74}    .065377
                35 |{col 21}  -.0012049{col 33}   .0309422{col 44}  -0.04{col 53}   0.969{col 61}    -.0619004{col 74}    .0594906
                36 |{col 21}   .1466503{col 33}   .078178{col 44}  1.88{col 53}   0.061{col 61}    -.0067018{col 74}    .3000024
                37 |{col 21}   .0319132{col 33}   .0462432{col 44}  0.69{col 53}   0.490{col 61}    -.0587963{col 74}    .1226227
                38 |{col 21}  -.0234482{col 33}   .0594782{col 44}  -0.39{col 53}   0.693{col 61}    -.1401192{col 74}    .0932229
                39 |{col 21}   .063715{col 33}   .0474756{col 44}  1.34{col 53}   0.180{col 61}    -.0294119{col 74}    .1568419
                40 |{col 21}   .1220823{col 33}   .0596464{col 44}  2.05{col 53}   0.041{col 61}     .0050814{col 74}    .2390832
                41 |{col 21}   .0355974{col 33}   .0615406{col 44}  0.58{col 53}   0.563{col 61}    -.0851193{col 74}    .156314
                42 |{col 21}   .0043136{col 33}   .0367494{col 44}  0.12{col 53}   0.907{col 61}    -.0677731{col 74}    .0764003
                43 |{col 21}  -.0238337{col 33}   .0425964{col 44}  -0.56{col 53}   0.576{col 61}    -.1073899{col 74}    .0597224
                44 |{col 21}   .0034057{col 33}   .0350014{col 44}  0.10{col 53}   0.923{col 61}    -.0652521{col 74}    .0720635
                45 |{col 21}  -.0209078{col 33}   .0360372{col 44}  -0.58{col 53}   0.562{col 61}    -.0915976{col 74}    .0497819
                46 |{col 21}  -.0137555{col 33}   .0501491{col 44}  -0.27{col 53}   0.784{col 61}    -.1121268{col 74}    .0846158
                47 |{col 21}  -.0028911{col 33}   .0277959{col 44}  -0.10{col 53}   0.917{col 61}     -.057415{col 74}    .0516327
                48 |{col 21}  -.0013559{col 33}   .0335242{col 44}  -0.04{col 53}   0.968{col 61}    -.0671162{col 74}    .0644043
                49 |{col 21}   .026036{col 33}   .0352712{col 44}  0.74{col 53}   0.461{col 61}    -.0431511{col 74}    .0952231
                54 |{col 21}  -.0629279{col 33}   .0392548{col 44}  -1.60{col 53}   0.109{col 61}    -.1399292{col 74}    .0140734
                57 |{col 21}   .0522931{col 33}   .0382814{col 44}  1.37{col 53}   0.172{col 61}    -.0227988{col 74}    .1273849
                58 |{col 21}   .1056921{col 33}   .0367135{col 44}  2.88{col 53}   0.004{col 61}     .0336757{col 74}    .1777085
                59 |{col 21}   .0431391{col 33}   .0322375{col 44}  1.34{col 53}   0.181{col 61}    -.0200973{col 74}    .1063754
                60 |{col 21}   .0211248{col 33}   .0222812{col 44}  0.95{col 53}   0.343{col 61}    -.0225814{col 74}    .064831
                61 |{col 21}   -.001065{col 33}   .0238972{col 44}  -0.04{col 53}   0.964{col 61}    -.0479411{col 74}    .0458111
                62 |{col 21}  -.0011315{col 33}   .035638{col 44}  -0.03{col 53}   0.975{col 61}    -.0710381{col 74}    .0687751
                63 |{col 21}   .044814{col 33}   .0248668{col 44}  1.80{col 53}   0.072{col 61}    -.0039641{col 74}    .093592
                64 |{col 21}   .0061832{col 33}   .0290131{col 44}  0.21{col 53}   0.831{col 61}    -.0507282{col 74}    .0630946
                65 |{col 21}  -.0037244{col 33}   .0329642{col 44}  -0.11{col 53}   0.910{col 61}    -.0683861{col 74}    .0609373
                66 |{col 21}  -.0068052{col 33}   .0303716{col 44}  -0.22{col 53}   0.823{col 61}    -.0663815{col 74}    .052771
                67 |{col 21}   .0409989{col 33}   .0380501{col 44}  1.08{col 53}   0.281{col 61}    -.0336393{col 74}    .1156372
                68 |{col 21}   .0504693{col 33}   .0565266{col 44}  0.89{col 53}   0.372{col 61}    -.0604119{col 74}    .1613505
                69 |{col 21}   .0376659{col 33}   .0267009{col 44}  1.41{col 53}   0.159{col 61}    -.0147099{col 74}    .0900418
                70 |{col 21}   .0758193{col 33}   .0491949{col 44}  1.54{col 53}   0.123{col 61}    -.0206802{col 74}    .1723188
                71 |{col 21}   .049629{col 33}   .042886{col 44}  1.16{col 53}   0.247{col 61}    -.0344951{col 74}    .1337532
                72 |{col 21}   .0929879{col 33}   .0269991{col 44}  3.44{col 53}   0.001{col 61}     .0400271{col 74}    .1459486
                73 |{col 21}   .0159675{col 33}   .0374985{col 44}  0.43{col 53}   0.670{col 61}    -.0575887{col 74}    .0895237
                74 |{col 21}  -.0167609{col 33}   .0504098{col 44}  -0.33{col 53}   0.740{col 61}    -.1156434{col 74}    .0821217
                77 |{col 21}  -.0494278{col 33}   .0477564{col 44}  -1.03{col 53}   0.301{col 61}    -.1431056{col 74}    .04425
                78 |{col 21}   .043935{col 33}   .0303736{col 44}  1.45{col 53}   0.148{col 61}    -.0156452{col 74}    .1035152
                80 |{col 21}   .0662422{col 33}   .0563891{col 44}  1.17{col 53}   0.240{col 61}    -.0443693{col 74}    .1768537
                81 |{col 21}  -.0132256{col 33}   .0418675{col 44}  -0.32{col 53}   0.752{col 61}    -.0953518{col 74}    .0689006
                82 |{col 21}  -.1521122{col 33}   .0461239{col 44}  -3.30{col 53}   0.001{col 61}    -.2425876{col 74}   -.0616367
                83 |{col 21}   .3254814{col 33}   .0549993{col 44}  5.92{col 53}   0.000{col 61}     .217596{col 74}    .4333667
                84 |{col 21}   .1163051{col 33}   .0755879{col 44}  1.54{col 53}   0.124{col 61}    -.0319663{col 74}    .2645764
                87 |{col 21}   .0723762{col 33}   .09952{col 44}  0.73{col 53}   0.467{col 61}    -.1228399{col 74}    .2675922
                88 |{col 21}  -.0189746{col 33}   .0432222{col 44}  -0.44{col 53}   0.661{col 61}    -.1037582{col 74}    .065809
                89 |{col 21}   .05348{col 33}   .0394285{col 44}  1.36{col 53}   0.175{col 61}     -.023862{col 74}    .130822
                90 |{col 21}  -.0071159{col 33}   .0368343{col 44}  -0.19{col 53}   0.847{col 61}    -.0793693{col 74}    .0651374
                91 |{col 21}   .0191655{col 33}   .0321644{col 44}  0.60{col 53}   0.551{col 61}    -.0439274{col 74}    .0822584
                93 |{col 21}   .0723249{col 33}   .0412317{col 44}  1.75{col 53}   0.080{col 61}    -.0085542{col 74}    .153204
                94 |{col 21}   .044011{col 33}   .0467008{col 44}  0.94{col 53}   0.346{col 61}     -.047596{col 74}    .1356181
                95 |{col 21}  -.0063351{col 33}   .0294883{col 44}  -0.21{col 53}   0.830{col 61}    -.0641786{col 74}    .0515084
                96 |{col 21}   .0131151{col 33}   .0309436{col 44}  0.42{col 53}   0.672{col 61}    -.0475832{col 74}    .0738134
                97 |{col 21}   .034456{col 33}   .0230905{col 44}  1.49{col 53}   0.136{col 61}    -.0108377{col 74}    .0797497
                98 |{col 21}   .0010966{col 33}   .0283069{col 44}  0.04{col 53}   0.969{col 61}    -.0544295{col 74}    .0566226
                99 |{col 21}   .0321931{col 33}   .0235703{col 44}  1.37{col 53}   0.172{col 61}    -.0140418{col 74}    .078428
               101 |{col 21}   .0123781{col 33}   .0320998{col 44}  0.39{col 53}   0.700{col 61}    -.0505881{col 74}    .0753443
               102 |{col 21}   -.009805{col 33}   .0306835{col 44}  -0.32{col 53}   0.749{col 61}    -.0699929{col 74}    .050383
               103 |{col 21}   .0775659{col 33}   .0272317{col 44}  2.85{col 53}   0.004{col 61}     .0241489{col 74}    .1309828
               104 |{col 21}   .0440646{col 33}   .04357{col 44}  1.01{col 53}   0.312{col 61}    -.0414013{col 74}    .1295304
               105 |{col 21}   .0314655{col 33}   .0279308{col 44}  1.13{col 53}   0.260{col 61}    -.0233228{col 74}    .0862539
               107 |{col 21}   .0085727{col 33}   .025523{col 44}  0.34{col 53}   0.737{col 61}    -.0414925{col 74}    .058638
               108 |{col 21}   .1741815{col 33}   .1522755{col 44}  1.14{col 53}   0.253{col 61}    -.1245184{col 74}    .4728814
               109 |{col 21}   .0324083{col 33}   .0246852{col 44}  1.31{col 53}   0.189{col 61}    -.0160135{col 74}    .0808301
                    |               _cons |{col 21}   .1461146{col 33}   .2164917{col 44}  0.67{col 53}   0.500{col 61}    -.2785502{col 74}   
.5707794 ------------------------------------------------------------------------------------- note: statei dropped from exact() varlist due to
collinearity Matching estimator:  Average Treatment Effect for the Treated Weighting matrix: inverse variance {col 45}Number of obs {col 68}=
2329 {col 45}Number of matches (m) = 3 ------------------------------------------------------------------------------ {col 1}ww2_awards~s{col
14}| Coef.{col 26} Std. Err.{col 38} z{col 46} P>|z|{col 54} [95% Con{col 67}f. Interval]
-------------+----------------------------------------------------------------         SATT |{col 14}   .0299836{col 26}   .0124083{col 37} 
2.42{col 46}   0.016{col 54}     .0056638{col 67}    .0543034 ------------------------------------------------------------------------------ {p
0 8 4}Matching variables:  lat_nd lon_nd ww1_vol_sh lpop30{p_end} {p 0 8 4}Exact matching variables: stateicpsr c30urban1{p_end} {p 3 8
4}(Percent of exact matches: 81.873876) {p} number of observations (_N) was 0, now 5 {p_end} (5 missing values generated) (5 missing values
generated) (5 missing values generated) (5 missing values generated) (5 missing values generated) Linear regression Number of obs = 2,329 F(55,
2273) = 105.15 Prob > F = 0.0000 R-squared = 0.6421 Root MSE = .76095
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} pc1{col 21}| Coef.{col
33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .2905177{col 33}  
.0733332{col 44}  3.96{col 53}   0.000{col 61}     .1467107{col 74}    .4343248          ww1_vol_sh |{col 21}   .4560195{col 33}   .1143581{col
44}  3.99{col 53}   0.000{col 61}     .2317622{col 74}    .6802767 ww1_awards_pop10_is |{col 21}   .5944944{col 33}   .2667191{col 44}  2.23{col
53}   0.026{col 61}     .0714561{col 74}    1.117533              lpop30 |{col 21}  -.1651172{col 33}   .0617808{col 44}  -2.67{col
53}   0.008{col 61}    -.2862699{col 74}   -.0439645            c30unemp |{col 21}   1.117586{col 33}   .8242638{col 44}  1.36{col
53}   0.175{col 61}    -.4988018{col 74}    2.733974           c30urban1 |{col 21}   .1773901{col 33}   .0431508{col 44}  4.11{col
53}   0.000{col 61}     .0927711{col 74}    .2620092             c30farm |{col 21}  -.3136146{col 33}   .1808266{col 44}  -1.73{col
53}   0.083{col 61}    -.6682171{col 74}    .0409879             iYf_T29 |{col 21}   .1148773{col 33}   .0509824{col 44}  2.25{col
53}   0.024{col 61}     .0149004{col 74}    .2148541            MEAN9628 |{col 21}   .0050597{col 33}   .0020311{col 44}  2.49{col
53}   0.013{col 61}     .0010767{col 74}    .0090427              c30men |{col 21}  -7.136619{col 33}   1.548763{col 44}  -4.61{col
53}   0.000{col 61}    -10.17376{col 74}   -4.099482            c30black |{col 21}   -1.19932{col 33}   .1488105{col 44}  -8.06{col
53}   0.000{col 61}    -1.491139{col 74}   -.9075014              c30jap |{col 21}   11.75079{col 33}   6.774796{col 44}  1.73{col
53}   0.083{col 61}    -1.534636{col 74}    25.03622              c30deu |{col 21}   .5113417{col 33}   .7320231{col 44}  0.70{col
53}   0.485{col 61}    -.9241616{col 74}    1.946845              c30ita |{col 21}  -.6472785{col 33}   1.049279{col 44}  -0.62{col
53}   0.537{col 61}    -2.704923{col 74}    1.410366              c30vet |{col 21}   3.578578{col 33}   .8706198{col 44}  4.11{col
53}   0.000{col 61}     1.871286{col 74}    5.285871            lc40wage |{col 21}   1.121407{col 33}   .1304695{col 44}  8.60{col
53}   0.000{col 61}     .8655557{col 74}    1.377259       iwarconpro_PC |{col 21}   .2034959{col 33}   .0321466{col 44}  6.33{col
53}   0.000{col 61}     .1404562{col 74}    .2665356                     |          stateicpsr |                  2 |{col 21}  -.3627044{col
33}   .2123121{col 44}  -1.71{col 53}   0.088{col 61}    -.7790501{col 74}    .0536413                  3 |{col 21}  -.1750713{col 33}  
.2011416{col 44}  -0.87{col 53}   0.384{col 61}    -.5695117{col 74}    .219369                  4 |{col 21}   .1238561{col 33}   .2664606{col
44}  0.46{col 53}   0.642{col 61}    -.3986753{col 74}    .6463875                  5 |{col 21}   -.160937{col 33}   .4141036{col 44}  -0.39{col
53}   0.698{col 61}    -.9729976{col 74}    .6511237                  6 |{col 21}   .3702565{col 33}   .2540939{col 44}  1.46{col
53}   0.145{col 61}    -.1280238{col 74}    .8685368                 11 |{col 21}  -.3055505{col 33}   .1836543{col 44}  -1.66{col
53}   0.096{col 61}    -.6656981{col 74}    .0545972                 12 |{col 21}  -.4792182{col 33}   .1729917{col 44}  -2.77{col
53}   0.006{col 61}    -.8184563{col 74}   -.1399802                 13 |{col 21}  -.0658772{col 33}   .1589278{col 44}  -0.41{col
53}   0.679{col 61}    -.3775359{col 74}    .2457815                 14 |{col 21}  -.6410433{col 33}   .1644978{col 44}  -3.90{col
53}   0.000{col 61}    -.9636247{col 74}   -.3184618                 21 |{col 21}  -.0317882{col 33}   .203547{col 44}  -0.16{col
53}   0.876{col 61}    -.4309456{col 74}    .3673692                 22 |{col 21}  -.3818149{col 33}   .1932128{col 44}  -1.98{col
53}   0.048{col 61}    -.7607069{col 74}   -.0029229                 23 |{col 21}  -.2852551{col 33}   .2232503{col 44}  -1.28{col
53}   0.201{col 61}    -.7230508{col 74}    .1525406                 24 |{col 21}  -.3590735{col 33}   .1926847{col 44}  -1.86{col
53}   0.063{col 61}    -.7369297{col 74}    .0187827                 25 |{col 21}   .0115781{col 33}   .2626636{col 44}  0.04{col
53}   0.965{col 61}    -.5035074{col 74}    .5266636                 40 |{col 21}  -.3314276{col 33}   .1828898{col 44}  -1.81{col
53}   0.070{col 61}     -.690076{col 74}    .0272208                 41 |{col 21}   .02769{col 33}   .1820293{col 44}  0.15{col 53}   0.879{col
61}    -.3292709{col 74}    .3846509                 42 |{col 21}  -.9414548{col 33}   .1841095{col 44}  -5.11{col 53}   0.000{col
61}    -1.302495{col 74}   -.5804145                 43 |{col 21}   .2302479{col 33}   .2227432{col 44}  1.03{col 53}   0.301{col
61}    -.2065533{col 74}    .6670492                 44 |{col 21}   .0326365{col 33}   .183305{col 44}  0.18{col 53}   0.859{col
61}    -.3268261{col 74}    .392099                 45 |{col 21}  -.7355506{col 33}   .1804745{col 44}  -4.08{col 53}   0.000{col
61}    -1.089463{col 74}   -.3816387                 46 |{col 21}   .0292311{col 33}   .1920808{col 44}  0.15{col 53}   0.879{col
61}    -.3474408{col 74}    .4059031                 47 |{col 21}  -.2581259{col 33}   .1761854{col 44}  -1.47{col 53}   0.143{col
61}    -.6036269{col 74}    .0873752                 48 |{col 21}  -.4222961{col 33}   .193297{col 44}  -2.18{col 53}   0.029{col
61}    -.8013531{col 74}   -.0432391                 49 |{col 21}   1.070501{col 33}   .1863693{col 44}  5.74{col 53}   0.000{col 61}    
.7050296{col 74}    1.435973                 51 |{col 21}  -.3180441{col 33}   .1771939{col 44}  -1.79{col 53}   0.073{col 61}    -.6655228{col
74}    .0294345                 52 |{col 21}  -.6701615{col 33}   .2328637{col 44}  -2.88{col 53}   0.004{col 61}    -1.126809{col
74}   -.2135139                 53 |{col 21}   .2905578{col 33}   .1874741{col 44}  1.55{col 53}   0.121{col 61}    -.0770806{col 74}   
.6581961                 54 |{col 21}  -.3007666{col 33}   .1751095{col 44}  -1.72{col 53}   0.086{col 61}    -.6441577{col 74}    .0426245
                56 |{col 21}  -.2712188{col 33}   .1833089{col 44}  -1.48{col 53}   0.139{col 61}    -.6306891{col 74}    .0882515
                61 |{col 21}  -.9628048{col 33}   .3069335{col 44}  -3.14{col 53}   0.002{col 61}    -1.564704{col 74}   -.3609056
                63 |{col 21}   .063961{col 33}   .2637903{col 44}  0.24{col 53}   0.808{col 61}    -.4533339{col 74}    .5812559
                64 |{col 21}   1.336183{col 33}   .2788972{col 44}  4.79{col 53}   0.000{col 61}     .7892635{col 74}    1.883103
                65 |{col 21}  -.4149235{col 33}   .4208383{col 44}  -0.99{col 53}   0.324{col 61}    -1.240191{col 74}    .4103439
                66 |{col 21}  -.1276602{col 33}   .2705371{col 44}  -0.47{col 53}   0.637{col 61}    -.6581857{col 74}    .4028652
                67 |{col 21}  -.4502307{col 33}   .2696873{col 44}  -1.67{col 53}   0.095{col 61}    -.9790898{col 74}    .0786283
                71 |{col 21}   .5152609{col 33}   .2905524{col 44}  1.77{col 53}   0.076{col 61}    -.0545148{col 74}    1.085037
                72 |{col 21}   .1998441{col 33}   .2461725{col 44}  0.81{col 53}   0.417{col 61}    -.2829022{col 74}    .6825905
                73 |{col 21}   .5189294{col 33}   .2817786{col 44}  1.84{col 53}   0.066{col 61}    -.0336408{col 74}    1.0715
                    |               _cons |{col 21}  -4.602729{col 33}   1.197732{col 44}  -3.84{col 53}   0.000{col 61}    -6.951491{col
74}   -2.253966 ------------------------------------------------------------------------------------- (sum of wgt is 2,138.5256919722) Linear
regression Number of obs = 2,329 F(55, 2273) = 53.67 Prob > F = 0.0000 R-squared = 0.5604 Root MSE = .8231
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} pc1{col 21}| Coef.{col
33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .2896676{col 33}  
.0956543{col 44}  3.03{col 53}   0.002{col 61}     .1020887{col 74}    .4772465          ww1_vol_sh |{col 21}   .3944664{col 33}   .1387892{col
44}  2.84{col 53}   0.005{col 61}     .1222997{col 74}    .6666331 ww1_awards_pop10_is |{col 21}   .190677{col 33}   .3859781{col 44}  0.49{col
53}   0.621{col 61}    -.5662291{col 74}    .9475832              lpop30 |{col 21}   -.172916{col 33}   .0767407{col 44}  -2.25{col
53}   0.024{col 61}    -.3234051{col 74}   -.0224269            c30unemp |{col 21}   .939024{col 33}   1.021198{col 44}  0.92{col
53}   0.358{col 61}    -1.063554{col 74}    2.941602           c30urban1 |{col 21}   .1286094{col 33}   .0687818{col 44}  1.87{col
53}   0.062{col 61}    -.0062723{col 74}    .263491             c30farm |{col 21}   -.189292{col 33}   .2766365{col 44}  -0.68{col
53}   0.494{col 61}    -.7317785{col 74}    .3531944             iYf_T29 |{col 21}   .1725191{col 33}   .0629638{col 44}  2.74{col
53}   0.006{col 61}     .0490466{col 74}    .2959917            MEAN9628 |{col 21}   .0035606{col 33}   .0028057{col 44}  1.27{col
53}   0.205{col 61}    -.0019414{col 74}    .0090627              c30men |{col 21}  -7.087163{col 33}   1.858198{col 44}  -3.81{col
53}   0.000{col 61}     -10.7311{col 74}   -3.443222            c30black |{col 21}  -1.303603{col 33}   .2718016{col 44}  -4.80{col
53}   0.000{col 61}    -1.836608{col 74}   -.7705979              c30jap |{col 21}   15.37627{col 33}   4.471144{col 44}  3.44{col
53}   0.001{col 61}     6.608323{col 74}    24.14422              c30deu |{col 21}   .5032641{col 33}   .71482{col 44}  0.70{col 53}   0.481{col
61}    -.8985038{col 74}    1.905032              c30ita |{col 21}  -.5306929{col 33}   1.16786{col 44}  -0.45{col 53}   0.650{col
61}    -2.820875{col 74}    1.759489              c30vet |{col 21}   3.775177{col 33}   1.214677{col 44}  3.11{col 53}   0.002{col 61}    
1.393185{col 74}    6.15717            lc40wage |{col 21}   1.111414{col 33}   .2081229{col 44}  5.34{col 53}   0.000{col 61}     .7032832{col
74}    1.519545       iwarconpro_PC |{col 21}   .1793139{col 33}   .0356019{col 44}  5.04{col 53}   0.000{col 61}     .1094982{col 74}   
.2491296                     |          stateicpsr |                  2 |{col 21}  -.1929501{col 33}   .2305715{col 44}  -0.84{col
53}   0.403{col 61}    -.6451027{col 74}    .2592026                  3 |{col 21}  -.1220064{col 33}   .2269491{col 44}  -0.54{col
53}   0.591{col 61}    -.5670555{col 74}    .3230427                  4 |{col 21}   .2023664{col 33}   .2747859{col 44}  0.74{col
53}   0.462{col 61}    -.3364909{col 74}    .7412237                  5 |{col 21}   .0777455{col 33}   .4855191{col 44}  0.16{col
53}   0.873{col 61}    -.8743616{col 74}    1.029853                  6 |{col 21}   .4723303{col 33}   .2729751{col 44}  1.73{col
53}   0.084{col 61}    -.0629761{col 74}    1.007637                 11 |{col 21}  -.2710587{col 33}   .1975252{col 44}  -1.37{col
53}   0.170{col 61}    -.6584073{col 74}    .1162899                 12 |{col 21}  -.4517221{col 33}   .2041898{col 44}  -2.21{col
53}   0.027{col 61}     -.85214{col 74}   -.0513041                 13 |{col 21}   .0119375{col 33}   .1865262{col 44}  0.06{col 53}   0.949{col
61}    -.3538418{col 74}    .3777169                 14 |{col 21}  -.5653385{col 33}   .1853295{col 44}  -3.05{col 53}   0.002{col
61}    -.9287711{col 74}   -.2019059                 21 |{col 21}   .0229645{col 33}   .2138228{col 44}  0.11{col 53}   0.914{col
61}    -.3963437{col 74}    .4422727                 22 |{col 21}   -.312307{col 33}   .2069034{col 44}  -1.51{col 53}   0.131{col
61}    -.7180462{col 74}    .0934322                 23 |{col 21}   -.232639{col 33}   .2331973{col 44}  -1.00{col 53}   0.319{col
61}    -.6899408{col 74}    .2246628                 24 |{col 21}  -.2986551{col 33}   .2055407{col 44}  -1.45{col 53}   0.146{col
61}    -.7017221{col 74}    .1044118                 25 |{col 21}   .0294673{col 33}   .2589412{col 44}  0.11{col 53}   0.909{col
61}    -.4783186{col 74}    .5372531                 40 |{col 21}  -.4197625{col 33}   .239084{col 44}  -1.76{col 53}   0.079{col
61}    -.8886082{col 74}    .0490832                 41 |{col 21}   .0904132{col 33}   .2311607{col 44}  0.39{col 53}   0.696{col
61}    -.3628949{col 74}    .5437214                 42 |{col 21}  -.9777099{col 33}   .2268458{col 44}  -4.31{col 53}   0.000{col
61}    -1.422556{col 74}   -.5328635                 43 |{col 21}   .1676156{col 33}   .2741424{col 44}  0.61{col 53}   0.541{col
61}    -.3699799{col 74}    .7052111                 44 |{col 21}  -.1886021{col 33}   .2535736{col 44}  -0.74{col 53}   0.457{col 61}    
-.685862{col 74}    .3086579                 45 |{col 21}  -.7277442{col 33}   .2434705{col 44}  -2.99{col 53}   0.003{col 61}    -1.205192{col
74}   -.2502966                 46 |{col 21}   .2843044{col 33}   .3064258{col 44}  0.93{col 53}   0.354{col 61}    -.3165991{col 74}   
.8852079                 47 |{col 21}  -.1389954{col 33}   .2602144{col 44}  -0.53{col 53}   0.593{col 61}     -.649278{col 74}    .3712872
                48 |{col 21}  -.4175148{col 33}   .2732593{col 44}  -1.53{col 53}   0.127{col 61}    -.9533786{col 74}    .118349
                49 |{col 21}   1.26347{col 33}   .2267389{col 44}  5.57{col 53}   0.000{col 61}     .8188329{col 74}    1.708107
                51 |{col 21}  -.3253998{col 33}   .2093147{col 44}  -1.55{col 53}   0.120{col 61}    -.7358676{col 74}    .0850679
                52 |{col 21}  -.7370307{col 33}   .2670843{col 44}  -2.76{col 53}   0.006{col 61}    -1.260785{col 74}   -.2132762
                53 |{col 21}   .3355051{col 33}   .2156426{col 44}  1.56{col 53}   0.120{col 61}    -.0873719{col 74}    .7583821
                54 |{col 21}  -.2915138{col 33}   .2222474{col 44}  -1.31{col 53}   0.190{col 61}    -.7273428{col 74}    .1443151
                56 |{col 21}  -.2403263{col 33}   .2088177{col 44}  -1.15{col 53}   0.250{col 61}    -.6498195{col 74}    .1691669
                61 |{col 21}  -.8341159{col 33}   .3158004{col 44}  -2.64{col 53}   0.008{col 61}    -1.453403{col 74}   -.2148288
                63 |{col 21}   .0221737{col 33}   .2642049{col 44}  0.08{col 53}   0.933{col 61}    -.4959342{col 74}    .5402816
                64 |{col 21}   1.4388{col 33}   .2963844{col 44}  4.85{col 53}   0.000{col 61}     .8575882{col 74}    2.020013
                65 |{col 21}  -.3315418{col 33}   .439437{col 44}  -0.75{col 53}   0.451{col 61}    -1.193281{col 74}    .5301977
                66 |{col 21}  -.0033118{col 33}   .2934813{col 44}  -0.01{col 53}   0.991{col 61}    -.5788311{col 74}    .5722076
                67 |{col 21}  -.4310363{col 33}   .2753053{col 44}  -1.57{col 53}   0.118{col 61}    -.9709122{col 74}    .1088395
                71 |{col 21}   .4945569{col 33}   .2582749{col 44}  1.91{col 53}   0.056{col 61}    -.0119222{col 74}    1.001036
                72 |{col 21}   .1272013{col 33}   .2832189{col 44}  0.45{col 53}   0.653{col 61}    -.4281934{col 74}    .6825959
                73 |{col 21}   .7958234{col 33}   .424191{col 44}  1.88{col 53}   0.061{col 61}    -.0360186{col 74}    1.627665
                    |               _cons |{col 21}  -4.622101{col 33}   1.785025{col 44}  -2.59{col 53}   0.010{col 61}    -8.122549{col
74}   -1.121652 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,670
F(50, 1619) = 93.98 Prob > F = 0.0000 R-squared = 0.6769 Root MSE = .72162
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} pc1{col 21}| Coef.{col
33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .2454577{col 33}  
.0651405{col 44}  3.77{col 53}   0.000{col 61}     .1176892{col 74}    .3732262          ww1_vol_sh |{col 21}   .2525979{col 33}   .0983443{col
44}  2.57{col 53}   0.010{col 61}     .0597023{col 74}    .4454934 ww1_awards_pop10_is |{col 21}   .6430489{col 33}   .3870771{col 44}  1.66{col
53}   0.097{col 61}    -.1161759{col 74}    1.402274              lpop30 |{col 21}  -.1145526{col 33}   .0344258{col 44}  -3.33{col
53}   0.001{col 61}    -.1820765{col 74}   -.0470287            c30unemp |{col 21}   .5535141{col 33}   .6495032{col 44}  0.85{col
53}   0.394{col 61}    -.7204411{col 74}    1.827469           c30urban1 |{col 21}   .1796066{col 33}   .0580034{col 44}  3.10{col
53}   0.002{col 61}     .0658369{col 74}    .2933763             c30farm |{col 21}  -.4166436{col 33}   .2143179{col 44}  -1.94{col
53}   0.052{col 61}    -.8370133{col 74}    .0037261             iYf_T29 |{col 21}   .0775834{col 33}   .0466755{col 44}  1.66{col
53}   0.097{col 61}    -.0139674{col 74}    .1691342            MEAN9628 |{col 21}   .0071183{col 33}   .0021644{col 44}  3.29{col
53}   0.001{col 61}     .0028729{col 74}    .0113637              c30men |{col 21}  -5.862182{col 33}   1.57776{col 44}  -3.72{col
53}   0.000{col 61}    -8.956848{col 74}   -2.767516            c30black |{col 21}  -1.519412{col 33}   .1585143{col 44}  -9.59{col
53}   0.000{col 61}    -1.830327{col 74}   -1.208498              c30jap |{col 21}   16.2138{col 33}   3.989469{col 44}  4.06{col
53}   0.000{col 61}     8.388737{col 74}    24.03887              c30deu |{col 21}  -.4380483{col 33}   .5155756{col 44}  -0.85{col
53}   0.396{col 61}    -1.449314{col 74}    .5732173              c30ita |{col 21}   .4972022{col 33}   .9175918{col 44}  0.54{col
53}   0.588{col 61}     -1.30259{col 74}    2.296995              c30vet |{col 21}   3.014631{col 33}   .9391525{col 44}  3.21{col
53}   0.001{col 61}     1.172549{col 74}    4.856714            lc40wage |{col 21}   1.126932{col 33}   .1449423{col 44}  7.78{col
53}   0.000{col 61}     .8426379{col 74}    1.411227       iwarconpro_PC |{col 21}   .2073718{col 33}   .0364241{col 44}  5.69{col
53}   0.000{col 61}     .1359284{col 74}    .2788152                     |          stateicpsr |                  2 |{col 21}  -.2411008{col
33}   .2204357{col 44}  -1.09{col 53}   0.274{col 61}    -.6734701{col 74}    .1912685                  3 |{col 21}  -.1212068{col 33}  
.2070457{col 44}  -0.59{col 53}   0.558{col 61}    -.5273124{col 74}    .2848989                  5 |{col 21}  -.4794781{col 33}   .3004842{col
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61}    -.5456615{col 74}    .1102854                 25 |{col 21}   .3458701{col 33}   .196584{col 44}  1.76{col 53}   0.079{col
61}    -.0397157{col 74}    .7314558                 40 |{col 21}  -.1866293{col 33}   .2013617{col 44}  -0.93{col 53}   0.354{col
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-.108685{col 74}    .765163                 42 |{col 21}  -.8004667{col 33}   .1922931{col 44}  -4.16{col 53}   0.000{col 61}    -1.177636{col
74}   -.4232971                 43 |{col 21}   .4702352{col 33}   .2248913{col 44}  2.09{col 53}   0.037{col 61}     .0291266{col 74}   
.9113438                 44 |{col 21}   .2034269{col 33}   .2081477{col 44}  0.98{col 53}   0.329{col 61}    -.2048404{col 74}    .6116942
                45 |{col 21}  -.6681577{col 33}   .2010979{col 44}  -3.32{col 53}   0.001{col 61}    -1.062597{col 74}   -.2737182
                46 |{col 21}   .1826319{col 33}   .2159279{col 44}  0.85{col 53}   0.398{col 61}    -.2408957{col 74}    .6061594
                47 |{col 21}  -.2020033{col 33}   .1990278{col 44}  -1.01{col 53}   0.310{col 61}    -.5923825{col 74}    .1883759
                48 |{col 21}  -.3107223{col 33}   .21683{col 44}  -1.43{col 53}   0.152{col 61}    -.7360192{col 74}    .1145746
                49 |{col 21}   1.16629{col 33}   .1929817{col 44}  6.04{col 53}   0.000{col 61}     .7877695{col 74}    1.54481
                51 |{col 21}  -.2177456{col 33}   .1826088{col 44}  -1.19{col 53}   0.233{col 61}    -.5759201{col 74}    .1404288
                52 |{col 21}  -1.051306{col 33}   .2982477{col 44}  -3.52{col 53}   0.000{col 61}    -1.636298{col 74}   -.4663139
                53 |{col 21}   .3563458{col 33}   .189607{col 44}  1.88{col 53}   0.060{col 61}    -.0155551{col 74}    .7282467
                54 |{col 21}  -.3042782{col 33}   .1966106{col 44}  -1.55{col 53}   0.122{col 61}    -.6899162{col 74}    .0813598
                56 |{col 21}  -.2524732{col 33}   .191512{col 44}  -1.32{col 53}   0.188{col 61}    -.6281107{col 74}    .1231643
                63 |{col 21}   .1166609{col 33}   .2919629{col 44}  0.40{col 53}   0.690{col 61}     -.456004{col 74}    .6893259
                66 |{col 21}  -.8766295{col 33}   .3644152{col 44}  -2.41{col 53}   0.016{col 61}    -1.591404{col 74}   -.1618546
                67 |{col 21}  -.7771402{col 33}   .249884{col 44}  -3.11{col 53}   0.002{col 61}     -1.26727{col 74}   -.2870101
                71 |{col 21}   .3583965{col 33}   .2053784{col 44}  1.75{col 53}   0.081{col 61}    -.0444389{col 74}    .7612318
                72 |{col 21}   .4086167{col 33}   .2234279{col 44}  1.83{col 53}   0.068{col 61}    -.0296215{col 74}    .846855
                73 |{col 21}   .5915001{col 33}   .2773999{col 44}  2.13{col 53}   0.033{col 61}     .0473995{col 74}    1.135601
                    |               _cons |{col 21}  -5.400671{col 33}   1.423598{col 44}  -3.79{col 53}   0.000{col 61}    -8.192959{col
74}   -2.608383 ------------------------------------------------------------------------------------- Linear regression Number of obs = 1,578
F(102, 1473) = .  Prob > F = .  R-squared = 0.6408 Root MSE = .72913
------------------------------------------------------------------------------------- {col 21}|{col 33} Robust {col 1} pc1{col 21}| Coef.{col
33} Std. Err.{col 45} t{col 53} P>|t|{col 61} [95% Con{col 74}f. Interval]
--------------------+----------------------------------------------------------------           iNDEXP_PC |{col 21}   .2844426{col 33}  
.0790769{col 44}  3.60{col 53}   0.000{col 61}     .1293273{col 74}    .4395579          ww1_vol_sh |{col 21}   .4448644{col 33}   .1567654{col
44}  2.84{col 53}   0.005{col 61}     .1373572{col 74}    .7523715 ww1_awards_pop10_is |{col 21}   .426158{col 33}   .335611{col 44}  1.27{col
53}   0.204{col 61}    -.2321685{col 74}    1.084484              lpop30 |{col 21}   -.125776{col 33}   .0774859{col 44}  -1.62{col
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53}   0.577{col 61}    -1.719418{col 74}    3.088216           c30urban1 |{col 21}   .1065913{col 33}   .0498674{col 44}  2.14{col
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53}   0.106{col 61}    -.9377343{col 74}    .0895635             iYf_T29 |{col 21}   .0693987{col 33}   .0727081{col 44}  0.95{col
53}   0.340{col 61}    -.0732237{col 74}    .2120211            MEAN9628 |{col 21}   .0003424{col 33}   .0025516{col 44}  0.13{col
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53}   0.000{col 61}    -13.08427{col 74}   -4.167657            c30black |{col 21}   -.981032{col 33}   .2066525{col 44}  -4.75{col
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53}   0.368{col 61}    -9.358271{col 74}    25.22493              c30deu |{col 21}   .6621852{col 33}   .8895964{col 44}  0.74{col
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53}   0.440{col 61}    -3.615873{col 74}    1.573264              c30vet |{col 21}   1.742346{col 33}   .8860414{col 44}  1.97{col
53}   0.049{col 61}     .0043089{col 74}    3.480384            lc40wage |{col 21}   1.169412{col 33}   .1666839{col 44}  7.02{col
53}   0.000{col 61}     .8424492{col 74}    1.496375       iwarconpro_PC |{col 21}   .206165{col 33}   .0423476{col 44}  4.87{col
53}   0.000{col 61}     .1230969{col 74}    .289233                     |        closestbor_n |                  2 |{col 21}   .213102{col 33}  
.1821351{col 44}  1.17{col 53}   0.242{col 61}    -.1441698{col 74}    .5703739                  3 |{col 21}   .194268{col 33}   .1847394{col
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                41 |{col 21}   .2848043{col 33}   .2646869{col 44}  1.08{col 53}   0.282{col 61}    -.2343992{col 74}    .8040078
                42 |{col 21}   .0048607{col 33}   .2368763{col 44}  0.02{col 53}   0.984{col 61}    -.4597901{col 74}    .4695115
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                57 |{col 21}   .7796155{col 33}   .2400026{col 44}  3.25{col 53}   0.001{col 61}     .3088322{col 74}    1.250399
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                59 |{col 21}  -.0599615{col 33}   .2194985{col 44}  -0.27{col 53}   0.785{col 61}    -.4905245{col 74}    .3706014
                60 |{col 21}  -.1898899{col 33}   .1781746{col 44}  -1.07{col 53}   0.287{col 61}    -.5393928{col 74}    .159613
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                62 |{col 21}   -.607793{col 33}   .2277721{col 44}  -2.67{col 53}   0.008{col 61}    -1.054585{col 74}   -.1610007
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                65 |{col 21}  -.0529249{col 33}   .2273153{col 44}  -0.23{col 53}   0.816{col 61}     -.498821{col 74}    .3929712
                66 |{col 21}  -.6801283{col 33}   .2202035{col 44}  -3.09{col 53}   0.002{col 61}    -1.112074{col 74}   -.2481824
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               108 |{col 21}   .3025743{col 33}   1.038953{col 44}  0.29{col 53}   0.771{col 61}    -1.735411{col 74}    2.340559
               109 |{col 21}  -.1393811{col 33}   .1939597{col 44}  -0.72{col 53}   0.472{col 61}    -.5198479{col 74}    .2410856
                    |               _cons |{col 21}  -3.975526{col 33}   1.403703{col 44}  -2.83{col 53}   0.005{col 61}    -6.728996{col
74}   -1.222057 ------------------------------------------------------------------------------------- note: statei dropped from exact() varlist
due to collinearity Matching estimator:  Average Treatment Effect for the Treated Weighting matrix: inverse variance {col 45}Number of obs {col
68}= 2329 {col 45}Number of matches (m) = 3 ------------------------------------------------------------------------------ {col 1} pc1{col 14}|
Coef.{col 26} Std. Err.{col 38} z{col 46} P>|z|{col 54} [95% Con{col 67}f. Interval]
-------------+----------------------------------------------------------------         SATT |{col 14}   .3140463{col 26}   .0911582{col 37} 
3.45{col 46}   0.001{col 54}     .1353795{col 67}    .4927131 ------------------------------------------------------------------------------ {p
0 8 4}Matching variables:  lat_nd lon_nd ww1_vol_sh lpop30{p_end} {p 0 8 4}Exact matching variables: stateicpsr c30urban1{p_end} {p 3 8
4}(Percent of exact matches: 81.873876) {p} number of observations (_N) was 0, now 5 {p_end} (5 missing values generated) (5 missing values
generated) (5 missing values generated) (5 missing values generated) (5 missing values generated)

. 
. grc1leg g1 g2 g3 g4, leg(g1) position(6) ring(1) cols(2)                                         ///
>         plotregion(fcolor(white)) graphregion(fcolor(white))

. graph export "results/figures/AppFig9-matching.pdf", as(pdf) replace
(file results/figures/AppFig9-matching.pdf written in PDF format)

. 
. ***************************************************************************************************
. ****         Fig 10. Drop one state at a time                                                      ****
. ***************************************************************************************************
. cap tab stateicpsr, gen(state)

. 
. set seed 20220209

. gen random = runiform()

. sort state random

. gen     ninstate = 1                  if state != state[_n-1]
(3,021 missing values generated)

. replace ninstate = ninstate[_n-1] + 1 if state == state[_n-1] & ninstate == .
(3,021 real changes made)

. 
. replace state = "" if ninstate > 151
(111 real changes made)

. 
. levelsof state if sample_ols == 1, local(states)
`"Alabama"' `"Arizona"' `"Arkansas"' `"California"' `"Colorado"' `"Connecticut"' `"Delaware"' `"Florida"' `"Georgia"' `"Idaho"' `"Illinois"' `"I
> ndiana"' `"Iowa"' `"Kansas"' `"Kentucky"' `"Louisiana"' `"Maine"' `"Maryland"' `"Massachusetts"' `"Michigan"' `"Minnesota"' `"Mississippi"' `"
> Missouri"' `"Montana"' `"Nebraska"' `"Nevada"' `"New Hampshire"' `"New Jersey"' `"New Mexico"' `"New York"' `"North Carolina"' `"North Dakota"
> ' `"Ohio"' `"Oklahoma"' `"Oregon"' `"Pennsylvania"' `"Rhode Island"' `"South Carolina"' `"South Dakota"' `"Tennessee"' `"Texas"' `"Utah"' `"Ve
> rmont"' `"Virginia"' `"Washington"' `"West Virginia"' `"Wisconsin"' `"Wyoming"'

. local n 0

. foreach state of local states { 
  2.         local ++n
  3.         local state_`n' = "`state'"
  4.         di "I'm working on state #`n'"
  5.         
.         qui {
  6.                 xi:  reg iwarbond_1944_PC       iAGRI_PF                                  $control if sample_ols == 1                      
>      & state != "`state'", r
  7.                         local b_ols1_`n' =       _b[iAGRI_PF]
  8.                         local s_ols1_`n' =      _se[iAGRI_PF]
  9.                 xi:  reg ww2_vol_pop40          iAGRI_PF                                  $control if sample_ols == 1 & servicecommand   !=
>  7   & state != "`state'", r
 10.                         local b_ols2_`n' =       _b[iAGRI_PF]
 11.                         local s_ols2_`n' =      _se[iAGRI_PF]
 12.                 xi:  reg ww2_awards_pop40_is    iAGRI_PF                                  $control if sample_ols == 1 & servicecommand   !=
>  7   & state != "`state'", r
 13.                         local b_ols3_`n' =       _b[iAGRI_PF]
 14.                         local s_ols3_`n' =      _se[iAGRI_PF]
 15.                 xi:  reg pc1                    iAGRI_PF                                  $control if sample_ols == 1 & servicecommand   !=
>  7   & state != "`state'", r
 16.                         local b_ols4_`n' =       _b[iAGRI_PF]
 17.                         local s_ols4_`n' =      _se[iAGRI_PF]
 18.                 
.                 
.                 xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1                        
>   & state != "`state'", cluster(CLIMDIVX)
 19.                         local b_iv1_`n'  =        _b[iAGRI_PF]
 20.                         local s_iv1_`n'  =       _se[iAGRI_PF]
 21.                 xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 
> 7    & state != "`state'", cluster(CLIMDIVX)
 22.                         local b_iv2_`n'  =        _b[iAGRI_PF]
 23.                         local s_iv2_`n'  =       _se[iAGRI_PF]
 24.                 xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 
> 7    & state != "`state'", cluster(CLIMDIVX)
 25.                         local b_iv3_`n'  =        _b[iAGRI_PF]
 26.                         local s_iv3_`n'  =       _se[iAGRI_PF]
 27.                 xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 
> 7    & state != "`state'", cluster(CLIMDIVX)
 28.                         local b_iv4_`n'  =        _b[iAGRI_PF]
 29.                         local s_iv4_`n'  =       _se[iAGRI_PF]
 30.         } /* qui */ 
 31. } /* foreach state */ 
I'm working on state #1
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #2
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #3
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #4
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #5
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #6
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #7
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #8
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #9
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #10
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #11
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #12
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #13
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #14
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #15
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #16
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #17
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #18
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #19
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #20
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #21
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #22
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #23
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #24
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #25
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #26
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #27
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #28
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #29
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #30
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #31
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #32
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #33
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #34
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #35
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #36
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #37
I'm working on state #38
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #39
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #40
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #41
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #42
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #43
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #44
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #45
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #46
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #47
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
I'm working on state #48
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.

. 
. xi:  reg iwarbond_1944_PC       iAGRI_PF                                  $control if sample_ols == 1                      , r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      3,022
                                                F(64, 2957)       =      97.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6687
                                                Root MSE          =     .39339

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1629805   .0141484    11.52   0.000     .1352388    .1907222
         ww1_vol_sh |  -.0034661   .0356608    -0.10   0.923    -.0733885    .0664563
ww1_awards_pop10_is |   .2278298   .0834635     2.73   0.006     .0641773    .3914823
             lpop30 |  -.0196992   .0256811    -0.77   0.443    -.0700539    .0306555
           c30unemp |  -.3969034    .261674    -1.52   0.129     -.909985    .1161782
          c30urban1 |   .0341968   .0246873     1.39   0.166    -.0142093    .0826029
            c30farm |  -.5369548    .124902    -4.30   0.000    -.7818586   -.2920511
            iYf_T29 |   .0545721   .0197713     2.76   0.006     .0158051     .093339
           MEAN9628 |   .0018992   .0009269     2.05   0.041     .0000817    .0037167
             c30men |  -1.208349   .7715966    -1.57   0.117     -2.72127    .3045715
           c30black |  -.2788324    .086972    -3.21   0.001    -.4493643   -.1083006
             c30jap |   5.155809   2.017139     2.56   0.011     1.200671    9.110947
             c30deu |   .6686746   .1792804     3.73   0.000     .3171476    1.020202
             c30ita |  -.2307047   .5828297    -0.40   0.692    -1.373498    .9120883
             c30vet |  -.0487409   1.029123    -0.05   0.962    -2.066611    1.969129
           lc40wage |   .4648431    .056188     8.27   0.000     .3546716    .5750146
      iwarconpro_PC |   .2779728   .0223391    12.44   0.000      .234171    .3217745
      _Istateicps_2 |  -.0112314   .1494834    -0.08   0.940    -.3043334    .2818706
      _Istateicps_3 |  -.1671985   .1386839    -1.21   0.228    -.4391253    .1047283
      _Istateicps_4 |   .0319799   .1823873     0.18   0.861     -.325639    .3895987
      _Istateicps_5 |   -.287031   .3847282    -0.75   0.456    -1.041393    .4673312
      _Istateicps_6 |   .0632551   .1372149     0.46   0.645    -.2057914    .3323015
     _Istateicps_11 |   .2953927   .1646963     1.79   0.073    -.0275384    .6183238
     _Istateicps_12 |  -.0684945   .1301771    -0.53   0.599    -.3237414    .1867523
     _Istateicps_13 |   .0725467   .1147227     0.63   0.527    -.1523978    .2974911
     _Istateicps_14 |   .1201342   .1190985     1.01   0.313    -.1133902    .3536586
     _Istateicps_21 |   .1057907   .1212251     0.87   0.383    -.1319035    .3434849
     _Istateicps_22 |   .0432751   .1214429     0.36   0.722    -.1948461    .2813962
     _Istateicps_23 |   .0249717   .1227549     0.20   0.839     -.215722    .2656654
     _Istateicps_24 |  -.0012449   .1204611    -0.01   0.992     -.237441    .2349512
     _Istateicps_25 |   .0574388   .1280839     0.45   0.654    -.1937038    .3085815
     _Istateicps_31 |   .5499366   .1269666     4.33   0.000     .3009848    .7988884
     _Istateicps_32 |   .4226583   .1299297     3.25   0.001     .1678965      .67742
     _Istateicps_33 |    .372044     .13055     2.85   0.004      .116066     .628022
     _Istateicps_34 |   .0395638   .1230358     0.32   0.748    -.2016806    .2808082
     _Istateicps_35 |   .5272082   .1299634     4.06   0.000     .2723802    .7820361
     _Istateicps_36 |   .5953787   .1472992     4.04   0.000     .3065595     .884198
     _Istateicps_37 |   .3701488   .1329204     2.78   0.005     .1095228    .6307747
     _Istateicps_40 |   .0992902   .1327178     0.75   0.454    -.1609384    .3595187
     _Istateicps_41 |   .0187536    .129861     0.14   0.885    -.2358736    .2733807
     _Istateicps_42 |  -.3233064   .1368954    -2.36   0.018    -.5917263   -.0548864
     _Istateicps_43 |   .0188175   .1468123     0.13   0.898    -.2690471    .3066821
     _Istateicps_44 |  -.1593528   .1325751    -1.20   0.229    -.4193017     .100596
     _Istateicps_45 |  -.2314598    .136488    -1.70   0.090    -.4990808    .0361613
     _Istateicps_46 |  -.0089986   .1378238    -0.07   0.948     -.279239    .2612418
     _Istateicps_47 |  -.0707111   .1298129    -0.54   0.586    -.3252438    .1838216
     _Istateicps_48 |  -.3636704   .1480086    -2.46   0.014    -.6538807   -.0734601
     _Istateicps_49 |   .1081912   .1307853     0.83   0.408    -.1482482    .3646306
     _Istateicps_51 |  -.2472767   .1253798    -1.97   0.049    -.4931171   -.0014362
     _Istateicps_52 |  -.0686927   .1532397    -0.45   0.654    -.3691599    .2317746
     _Istateicps_53 |   .1123506   .1318472     0.85   0.394     -.146171    .3708722
     _Istateicps_54 |  -.1235242   .1267943    -0.97   0.330    -.3721382    .1250897
     _Istateicps_56 |  -.0422976   .1271313    -0.33   0.739    -.2915724    .2069772
     _Istateicps_61 |   .0702502   .1580846     0.44   0.657    -.2397168    .3802171
     _Istateicps_62 |   .1182808   .1354343     0.87   0.383    -.1472743    .3838358
     _Istateicps_63 |   .1841829   .1512284     1.22   0.223    -.1123408    .4807065
     _Istateicps_64 |   .6090193    .143926     4.23   0.000      .326814    .8912245
     _Istateicps_65 |   .1762924   .1934833     0.91   0.362    -.2030832     .555668
     _Istateicps_66 |  -.1742881   .1541775    -1.13   0.258    -.4765943     .128018
     _Istateicps_67 |  -.0555764   .1420504    -0.39   0.696     -.334104    .2229512
     _Istateicps_68 |   .3751607   .1616376     2.32   0.020     .0582271    .6920944
     _Istateicps_71 |   .1442228   .1358197     1.06   0.288    -.1220879    .4105335
     _Istateicps_72 |   .5858306   .1382261     4.24   0.000     .3148014    .8568597
     _Istateicps_73 |     .46261     .16418     2.82   0.005     .1406913    .7845287
     _Istateicps_98 |          0  (omitted)
              _cons |    1.23138    .587674     2.10   0.036     .0790886    2.383672
-------------------------------------------------------------------------------------

.         local b_ols1_49  =       _b[iAGRI_PF]

.         local s_ols1_49  =      _se[iAGRI_PF]

. xi:  reg ww2_vol_pop40          iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      73.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6233
                                                Root MSE          =     .21229

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |     .03674   .0073847     4.98   0.000     .0222585    .0512215
         ww1_vol_sh |   .1099746   .0263232     4.18   0.000     .0583545    .1615947
ww1_awards_pop10_is |   .1261255   .1003664     1.26   0.209    -.0706939    .3229449
             lpop30 |  -.0125949   .0110375    -1.14   0.254    -.0342395    .0090497
           c30unemp |   .6094068   .2050481     2.97   0.003     .2073058    1.011508
          c30urban1 |   .0070253   .0128933     0.54   0.586    -.0182587    .0323092
            c30farm |  -.0861848   .0550115    -1.57   0.117    -.1940628    .0216932
            iYf_T29 |  -.0283905   .0116755    -2.43   0.015    -.0512863   -.0054947
           MEAN9628 |  -.0003738   .0005332    -0.70   0.483    -.0014194    .0006719
             c30men |  -1.264086   .5145448    -2.46   0.014    -2.273113   -.2550597
           c30black |   -.433984   .0374408   -11.59   0.000    -.5074057   -.3605623
             c30jap |    .735138   1.237742     0.59   0.553    -1.692084     3.16236
             c30deu |  -.7111557    .152931    -4.65   0.000    -1.011055   -.4112567
             c30ita |   -.234159   .2365792    -0.99   0.322    -.6980928    .2297748
             c30vet |   1.116889   .3187849     3.50   0.000     .4917489    1.742029
           lc40wage |   .2101183   .0330775     6.35   0.000      .145253    .2749836
      iwarconpro_PC |  -.0339349   .0077829    -4.36   0.000    -.0491973   -.0186726
      _Istateicps_2 |   .0041405   .0580255     0.07   0.943     -.109648    .1179289
      _Istateicps_3 |   .0339488   .0566075     0.60   0.549    -.0770588    .1449565
      _Istateicps_4 |   .2386163   .0785297     3.04   0.002     .0846189    .3926137
      _Istateicps_5 |  -.0046429   .0605038    -0.08   0.939    -.1232914    .1140056
      _Istateicps_6 |   .3041236   .0778043     3.91   0.000     .1515487    .4566985
     _Istateicps_11 |  -.1669829   .0654089    -2.55   0.011    -.2952503   -.0387155
     _Istateicps_12 |   -.090787   .0521029    -1.74   0.082    -.1929612    .0113873
     _Istateicps_13 |   .0501752   .0519044     0.97   0.334    -.0516098    .1519602
     _Istateicps_14 |  -.1909468   .0504568    -3.78   0.000    -.2898931   -.0920005
     _Istateicps_21 |   .0211005   .0548183     0.38   0.700    -.0863987    .1285997
     _Istateicps_22 |  -.0806155   .0538466    -1.50   0.134    -.1862091     .024978
     _Istateicps_23 |   -.031761   .0604973    -0.52   0.600    -.1503968    .0868748
     _Istateicps_24 |  -.0901466   .0536463    -1.68   0.093    -.1953473    .0150542
     _Istateicps_25 |   .1962322   .0643143     3.05   0.002     .0701114     .322353
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.1445935    .055278    -2.62   0.009    -.2529941   -.0361929
     _Istateicps_41 |   .0950313   .0578243     1.64   0.100    -.0183626    .2084251
     _Istateicps_42 |  -.2260176   .0557772    -4.05   0.000    -.3353972    -.116638
     _Istateicps_43 |   .2192397   .0626405     3.50   0.000     .0964011    .3420782
     _Istateicps_44 |   .1720065   .0560542     3.07   0.002     .0620838    .2819293
     _Istateicps_45 |  -.1822926    .056014    -3.25   0.001    -.2921365   -.0724487
     _Istateicps_46 |   .1452847   .0596115     2.44   0.015      .028386    .2621833
     _Istateicps_47 |  -.0122521   .0544106    -0.23   0.822    -.1189517    .0944475
     _Istateicps_48 |   .0715918     .06013     1.19   0.234    -.0463237    .1895072
     _Istateicps_49 |   .5233502   .0583929     8.96   0.000     .4088412    .6378593
     _Istateicps_51 |    .056484   .0553432     1.02   0.308    -.0520446    .1650125
     _Istateicps_52 |  -.2913221   .0577322    -5.05   0.000    -.4045354   -.1781087
     _Istateicps_53 |   .1476366   .0583803     2.53   0.012     .0331524    .2621208
     _Istateicps_54 |   -.026899   .0564602    -0.48   0.634     -.137618      .08382
     _Istateicps_56 |   .1086773   .0599807     1.81   0.070    -.0089453    .2262999
     _Istateicps_61 |  -.4907201   .0647544    -7.58   0.000     -.617704   -.3637361
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0579779   .0644867    -0.90   0.369    -.1844368     .068481
     _Istateicps_64 |    .173091   .0674786     2.57   0.010      .040765    .3054171
     _Istateicps_65 |   -.159553   .0913244    -1.75   0.081    -.3386408    .0195349
     _Istateicps_66 |   .0918128    .071701     1.28   0.201    -.0487935    .2324191
     _Istateicps_67 |  -.2062293   .0638004    -3.23   0.001    -.3313425   -.0811162
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0050486   .0699624     0.07   0.942    -.1321483    .1422454
     _Istateicps_72 |  -.1516232   .0660285    -2.30   0.022    -.2811057   -.0221407
     _Istateicps_73 |   .0544429   .0659659     0.83   0.409    -.0749168    .1838026
     _Istateicps_98 |          0  (omitted)
              _cons |  -.2005778   .3311912    -0.61   0.545    -.8500465    .4488909
-------------------------------------------------------------------------------------

.         local b_ols2_49  =       _b[iAGRI_PF]

.         local s_ols2_49  =      _se[iAGRI_PF]

. xi:  reg ww2_awards_pop40_is    iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =      12.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1872
                                                Root MSE          =     .11646

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0131712   .0038028     3.46   0.001     .0057139    .0206285
         ww1_vol_sh |   .0564202   .0208676     2.70   0.007     .0154987    .0973418
ww1_awards_pop10_is |   .0349864   .0339162     1.03   0.302    -.0315237    .1014964
             lpop30 |  -.0173645   .0134171    -1.29   0.196    -.0436756    .0089466
           c30unemp |   .1527126   .1546671     0.99   0.324    -.1505908     .456016
          c30urban1 |   .0057236    .006182     0.93   0.355    -.0063993    .0178466
            c30farm |     .02803   .0257444     1.09   0.276    -.0224551     .078515
            iYf_T29 |   .0128969    .009741     1.32   0.186    -.0062052     .031999
           MEAN9628 |  -.0000696   .0003341    -0.21   0.835    -.0007248    .0005856
             c30men |  -.5458902   .2482677    -2.20   0.028    -1.032745   -.0590352
           c30black |  -.0502053   .0211631    -2.37   0.018    -.0917063   -.0087043
             c30jap |   .8842438   1.328231     0.67   0.506    -1.720428    3.488915
             c30deu |   .0555887   .1230038     0.45   0.651    -.1856227    .2968002
             c30ita |  -.0096405   .1711482    -0.06   0.955    -.3452635    .3259824
             c30vet |   .2707406   .1087542     2.49   0.013     .0574727    .4840084
           lc40wage |   .0564545   .0194359     2.90   0.004     .0183406    .0945684
      iwarconpro_PC |   .0048563    .004565     1.06   0.288    -.0040957    .0138084
      _Istateicps_2 |  -.0249839    .032068    -0.78   0.436    -.0878695    .0379017
      _Istateicps_3 |  -.0025937   .0225675    -0.11   0.909    -.0468487    .0416614
      _Istateicps_4 |  -.0258903   .0382771    -0.68   0.499    -.1009521    .0491714
      _Istateicps_5 |   .0585332   .0554012     1.06   0.291    -.0501089    .1671754
      _Istateicps_6 |  -.0237489   .0392838    -0.60   0.546    -.1007847    .0532869
     _Istateicps_11 |  -.0441544   .0266785    -1.66   0.098    -.0964712    .0081624
     _Istateicps_12 |  -.0367685   .0233274    -1.58   0.115    -.0825137    .0089767
     _Istateicps_13 |  -.0040381   .0220164    -0.18   0.854    -.0472125    .0391364
     _Istateicps_14 |  -.0291064   .0229636    -1.27   0.205    -.0741383    .0159254
     _Istateicps_21 |  -.0436119   .0297964    -1.46   0.143    -.1020429     .014819
     _Istateicps_22 |  -.0667818   .0296122    -2.26   0.024    -.1248516   -.0087121
     _Istateicps_23 |  -.0375624   .0341324    -1.10   0.271    -.1044964    .0293716
     _Istateicps_24 |  -.0226088   .0286082    -0.79   0.429    -.0787097    .0334921
     _Istateicps_25 |  -.0741215   .0433693    -1.71   0.088    -.1591691    .0109261
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.0216949    .026309    -0.82   0.410    -.0732871    .0298973
     _Istateicps_41 |  -.0282889   .0248453    -1.14   0.255    -.0770107    .0204329
     _Istateicps_42 |  -.0404452   .0248006    -1.63   0.103    -.0890794     .008189
     _Istateicps_43 |   .0096145   .0340751     0.28   0.778    -.0572072    .0764361
     _Istateicps_44 |    -.03822   .0257361    -1.49   0.138    -.0886886    .0122487
     _Istateicps_45 |  -.0312308   .0248203    -1.26   0.208    -.0799035     .017442
     _Istateicps_46 |   .0001286   .0265237     0.00   0.996    -.0518846    .0521418
     _Istateicps_47 |  -.0395406    .024187    -1.63   0.102    -.0869716    .0078903
     _Istateicps_48 |  -.0235965   .0265572    -0.89   0.374    -.0756755    .0284825
     _Istateicps_49 |   .0013643   .0245947     0.06   0.956    -.0468662    .0495948
     _Istateicps_51 |  -.0287306   .0252181    -1.14   0.255    -.0781835    .0207224
     _Istateicps_52 |  -.0279878   .0351016    -0.80   0.425    -.0968222    .0408467
     _Istateicps_53 |  -.0133041   .0255904    -0.52   0.603    -.0634871    .0368788
     _Istateicps_54 |  -.0303913   .0244789    -1.24   0.215    -.0783945    .0176119
     _Istateicps_56 |  -.0145483   .0263814    -0.55   0.581    -.0662824    .0371858
     _Istateicps_61 |   .0282924   .0406218     0.70   0.486    -.0513674    .1079521
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .0073903   .0430456     0.17   0.864    -.0770225     .091803
     _Istateicps_64 |   .1184136   .0465794     2.54   0.011      .027071    .2097562
     _Istateicps_65 |   .0104794   .0623777     0.17   0.867    -.1118438    .1328025
     _Istateicps_66 |  -.0050731    .031455    -0.16   0.872    -.0667566    .0566104
     _Istateicps_67 |   .0111529    .041947     0.27   0.790    -.0711056    .0934114
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |    .066033   .0546026     1.21   0.227    -.0410431    .1731091
     _Istateicps_72 |   -.012919   .0394358    -0.33   0.743    -.0902529    .0644149
     _Istateicps_73 |   .0276688   .0369424     0.75   0.454    -.0447756    .1001132
     _Istateicps_98 |          0  (omitted)
              _cons |   .0536557   .1845578     0.29   0.771    -.3082636     .415575
-------------------------------------------------------------------------------------

.         local b_ols3_49  =       _b[iAGRI_PF]

.         local s_ols3_49  =      _se[iAGRI_PF]

. xi:  reg pc1                    iAGRI_PF                                  $control if sample_ols == 1 & servicecommand != 7, r
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
note: _Istateicps_31 omitted because of collinearity
note: _Istateicps_32 omitted because of collinearity
note: _Istateicps_33 omitted because of collinearity
note: _Istateicps_34 omitted because of collinearity
note: _Istateicps_35 omitted because of collinearity
note: _Istateicps_36 omitted because of collinearity
note: _Istateicps_37 omitted because of collinearity
note: _Istateicps_62 omitted because of collinearity
note: _Istateicps_68 omitted because of collinearity
note: _Istateicps_98 omitted because of collinearity

Linear regression                               Number of obs     =      2,329
                                                F(55, 2273)       =     104.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6531
                                                Root MSE          =     .74919

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .2333995   .0258664     9.02   0.000     .1826752    .2841238
         ww1_vol_sh |   .4505476   .1169393     3.85   0.000     .2212286    .6798666
ww1_awards_pop10_is |   .5719262   .2683074     2.13   0.033     .0457731    1.098079
             lpop30 |  -.1484064   .0695116    -2.13   0.033    -.2847193   -.0120936
           c30unemp |   1.605957   .8875824     1.81   0.071     -.134599    3.346514
          c30urban1 |   .1167555   .0421121     2.77   0.006     .0341732    .1993377
            c30farm |  -.4338444   .1806466    -2.40   0.016    -.7880939   -.0795949
            iYf_T29 |   .0609448   .0555964     1.10   0.273    -.0480802    .1699698
           MEAN9628 |   .0022342   .0019838     1.13   0.260     -.001656    .0061244
             c30men |  -6.462308   1.482359    -4.36   0.000    -9.369225    -3.55539
           c30black |  -1.176993   .1426673    -8.25   0.000    -1.456765   -.8972209
             c30jap |   11.08854   6.988664     1.59   0.113    -2.616291    24.79337
             c30deu |  -.0658039   .6774689    -0.10   0.923    -1.394326    1.262718
             c30ita |  -.4954921   1.112829    -0.45   0.656    -2.677759    1.686774
             c30vet |   3.894608   .7907039     4.93   0.000     2.344031    5.445185
           lc40wage |   1.038707   .1272779     8.16   0.000     .7891143      1.2883
      iwarconpro_PC |   .2327704   .0314721     7.40   0.000     .1710535    .2944874
      _Istateicps_2 |    -.11426      .2179    -0.52   0.600    -.5415637    .3130438
      _Istateicps_3 |  -.0770539   .2139167    -0.36   0.719    -.4965463    .3424385
      _Istateicps_4 |   .3082856   .2828381     1.09   0.276    -.2463622    .8629334
      _Istateicps_5 |  -.0608687   .4784817    -0.13   0.899    -.9991753    .8774378
      _Istateicps_6 |   .4949421   .2744667     1.80   0.071    -.0432894    1.033174
     _Istateicps_11 |  -.1571952   .2045424    -0.77   0.442    -.5583046    .2439142
     _Istateicps_12 |  -.3657503   .1889731    -1.94   0.053    -.7363281    .0048274
     _Istateicps_13 |   .1356128   .1783253     0.76   0.447    -.2140845    .4853102
     _Istateicps_14 |  -.3224387    .183171    -1.76   0.078    -.6816385     .036761
     _Istateicps_21 |  -.0250645   .2091917    -0.12   0.905     -.435291    .3851621
     _Istateicps_22 |  -.3653847    .209128    -1.75   0.081    -.7754863     .044717
     _Istateicps_23 |  -.1593275   .2336472    -0.68   0.495    -.6175115    .2988565
     _Istateicps_24 |  -.2352151    .205795    -1.14   0.253    -.6387807    .1683505
     _Istateicps_25 |   .0749767   .2679508     0.28   0.780     -.450477    .6004304
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |  -.2429645   .2059168    -1.18   0.238    -.6467691    .1608401
     _Istateicps_41 |   .0767307   .2006791     0.38   0.702    -.3168027    .4702642
     _Istateicps_42 |  -.8293752    .203515    -4.08   0.000     -1.22847   -.4302807
     _Istateicps_43 |     .40108   .2424008     1.65   0.098      -.07427    .8764299
     _Istateicps_44 |  -.0016264   .2026463    -0.01   0.994    -.3990175    .3957646
     _Istateicps_45 |   -.654698   .2007435    -3.26   0.001    -1.048358   -.2610383
     _Istateicps_46 |   .2102797   .2114128     0.99   0.320    -.2043026    .6248619
     _Istateicps_47 |  -.2329315   .1983682    -1.17   0.240    -.6219333    .1560702
     _Istateicps_48 |  -.3283592    .211657    -1.55   0.121    -.7434202    .0867019
     _Istateicps_49 |   .9989503   .2019692     4.95   0.000     .6028871    1.395014
     _Istateicps_51 |  -.2027824   .1991266    -1.02   0.309    -.5932713    .1877065
     _Istateicps_52 |  -.6443716   .2537462    -2.54   0.011     -1.14197   -.1467732
     _Istateicps_53 |   .3266428   .2008401     1.63   0.104    -.0672063    .7204919
     _Istateicps_54 |  -.2498932   .1972106    -1.27   0.205    -.6366248    .1368384
     _Istateicps_56 |   .0839127   .2086388     0.40   0.688    -.3252297     .493055
     _Istateicps_61 |   -.640051   .2717158    -2.36   0.019    -1.172888   -.1072141
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |   .1086399   .2649316     0.41   0.682    -.4108931    .6281729
     _Istateicps_64 |    1.36512   .2691654     5.07   0.000     .8372839    1.892955
     _Istateicps_65 |  -.0745165   .4119031    -0.18   0.856    -.8822619     .733229
     _Istateicps_66 |   .0026817   .2625794     0.01   0.992    -.5122386     .517602
     _Istateicps_67 |  -.3375948    .273391    -1.23   0.217    -.8737168    .1985273
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .4289035   .3140406     1.37   0.172    -.1869327     1.04474
     _Istateicps_72 |   .2000608   .2544606     0.79   0.432    -.2989385    .6990601
     _Istateicps_73 |   .6304132   .2776316     2.27   0.023     .0859754    1.174851
     _Istateicps_98 |          0  (omitted)
              _cons |  -4.233114   1.176859    -3.60   0.000    -6.540944   -1.925285
-------------------------------------------------------------------------------------

.         local b_ols4_49  =       _b[iAGRI_PF]

.         local s_ols4_49  =      _se[iAGRI_PF]

. 
.         
. xi:  ivreg2 iwarbond_1944_PC    (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1                      , cluster(CLIMDIVX
> )
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    339                Number of obs =     3022
                                                      F( 64,   338) =   113.12
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1381.251918                Centered R2   =   0.6237
Total (uncentered) SS   =  66940.25714                Uncentered R2 =   0.9922
Residual SS             =  519.6992594                Root MSE      =    .4147

-------------------------------------------------------------------------------------
                    |               Robust
   iwarbond_1944_PC |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .3628581   .0567678     6.39   0.000     .2515951     .474121
         ww1_vol_sh |   .0017971   .0438358     0.04   0.967    -.0841196    .0877138
ww1_awards_pop10_is |   .1921598   .0867236     2.22   0.027     .0221847    .3621349
             lpop30 |   .0188265     .03187     0.59   0.555    -.0436375    .0812905
           c30unemp |  -.1248967   .3260491    -0.38   0.702    -.7639411    .5141477
          c30urban1 |   .0017637   .0295928     0.06   0.952    -.0562371    .0597646
            c30farm |   -.650749   .1625962    -4.00   0.000    -.9694317   -.3320664
            iYf_T29 |   .0004386   .0311344     0.01   0.989    -.0605837     .061461
           MEAN9628 |  -.0004211   .0012784    -0.33   0.742    -.0029266    .0020844
             c30men |  -1.025572    .980402    -1.05   0.296    -2.947125    .8959806
           c30black |  -.2277285   .1186378    -1.92   0.055    -.4602544    .0047973
             c30jap |   4.368221   2.703189     1.62   0.106    -.9299307    9.666374
             c30deu |   .5215383   .2443736     2.13   0.033     .0425749    1.000502
             c30ita |   -.025553   .6606998    -0.04   0.969    -1.320501    1.269395
             c30vet |  -.4359813   1.079444    -0.40   0.686    -2.551652    1.679689
           lc40wage |   .4225714   .0693025     6.10   0.000     .2867411    .5584018
      iwarconpro_PC |   .2796099   .0261571    10.69   0.000     .2283429    .3308768
      _Istateicps_2 |   .2551516   .1994898     1.28   0.201    -.1358411    .6461444
      _Istateicps_3 |  -.1705057   .0932558    -1.83   0.067    -.3532838    .0122724
      _Istateicps_4 |    .273926   .1205731     2.27   0.023      .037607    .5102449
      _Istateicps_5 |  -.2286692   .0692646    -3.30   0.001    -.3644253    -.092913
      _Istateicps_6 |   .2686098   .1470877     1.83   0.068    -.0196768    .5568963
     _Istateicps_11 |   .3830819   .1551284     2.47   0.014     .0790358    .6871279
     _Istateicps_12 |  -.0134074   .0731247    -0.18   0.855    -.1567293    .1299144
     _Istateicps_13 |   .2460354   .0945021     2.60   0.009     .0608147    .4312561
     _Istateicps_14 |   .3265672   .0979723     3.33   0.001      .134545    .5185893
     _Istateicps_21 |   .0267912   .1025767     0.26   0.794    -.1742555    .2278379
     _Istateicps_22 |   .0318381   .0925495     0.34   0.731    -.1495557    .2132318
     _Istateicps_23 |   .0691561   .0924163     0.75   0.454    -.1119765    .2502887
     _Istateicps_24 |   .0434357   .0840696     0.52   0.605    -.1213376    .2082091
     _Istateicps_25 |    .033918   .1015459     0.33   0.738    -.1651083    .2329443
     _Istateicps_31 |   .3896854   .1088369     3.58   0.000      .176369    .6030017
     _Istateicps_32 |   .1851604   .1147327     1.61   0.107    -.0397115    .4100322
     _Istateicps_33 |     .28514   .1104375     2.58   0.010     .0686866    .5015935
     _Istateicps_34 |   .0747433   .0916786     0.82   0.415    -.1049434      .25443
     _Istateicps_35 |   .3328325   .1112062     2.99   0.003     .1148723    .5507927
     _Istateicps_36 |   .2156875   .1828486     1.18   0.238    -.1426892    .5740641
     _Istateicps_37 |   .1152507    .136117     0.85   0.397    -.1515338    .3820351
     _Istateicps_40 |   .3457601   .1260638     2.74   0.006     .0986796    .5928405
     _Istateicps_41 |   .1423102   .1056422     1.35   0.178    -.0647448    .3493652
     _Istateicps_42 |  -.2041263    .115863    -1.76   0.078    -.4312136    .0229609
     _Istateicps_43 |   .2036536     .10849     1.88   0.060    -.0089829    .4162902
     _Istateicps_44 |   -.055948   .1059543    -0.53   0.597    -.2636147    .1517187
     _Istateicps_45 |  -.1142586   .1152874    -0.99   0.322    -.3402178    .1117006
     _Istateicps_46 |   .2041352   .1300239     1.57   0.116    -.0507071    .4589774
     _Istateicps_47 |   .0637409   .1292421     0.49   0.622    -.1895689    .3170507
     _Istateicps_48 |  -.2723034   .1248106    -2.18   0.029    -.5169276   -.0276792
     _Istateicps_49 |    .026546    .116572     0.23   0.820     -.201931     .255023
     _Istateicps_51 |  -.1046667   .1018526    -1.03   0.304    -.3042942    .0949609
     _Istateicps_52 |   .0067989   .1126632     0.06   0.952    -.2140169    .2276147
     _Istateicps_53 |   .0750072   .1031677     0.73   0.467    -.1271978    .2772123
     _Istateicps_54 |   .0425232   .1058323     0.40   0.688    -.1649043    .2499506
     _Istateicps_56 |   .2674249    .139018     1.92   0.054    -.0050453    .5398951
     _Istateicps_61 |   .1422868   .1478795     0.96   0.336    -.1475517    .4321253
     _Istateicps_62 |   .1351795   .0965143     1.40   0.161    -.0539851     .324344
     _Istateicps_63 |   .1302129   .1314135     0.99   0.322    -.1273529    .3877787
     _Istateicps_64 |    .443744   .1256613     3.53   0.000     .1974523    .6900356
     _Istateicps_65 |   .2070832   .1771057     1.17   0.242    -.1400377     .554204
     _Istateicps_66 |  -.1952118   .1419272    -1.38   0.169    -.4733839    .0829604
     _Istateicps_67 |  -.0517882   .0986688    -0.52   0.600    -.2451754     .141599
     _Istateicps_68 |   .1782253   .1527428     1.17   0.243     -.121145    .4775957
     _Istateicps_71 |   .0426895   .1368119     0.31   0.755    -.2254568    .3108358
     _Istateicps_72 |     .55665   .1067046     5.22   0.000     .3475129    .7657871
     _Istateicps_73 |   .4800399   .1269918     3.78   0.000     .2311406    .7289392
     _Istateicps_98 |          0  (omitted)
              _cons |   .0688291   .9278441     0.07   0.941    -1.749712     1.88737
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             16.143
                                                   Chi-sq(2) P-val =    0.0003
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              134.551
                         (Kleibergen-Paap rk Wald F statistic):         16.384
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_40 _Istateicps_41
                      _Istateicps_42 _Istateicps_43 _Istateicps_44
                      _Istateicps_45 _Istateicps_46 _Istateicps_47
                      _Istateicps_48 _Istateicps_49 _Istateicps_51
                      _Istateicps_52 _Istateicps_53 _Istateicps_54
                      _Istateicps_56 _Istateicps_61 _Istateicps_62
                      _Istateicps_63 _Istateicps_64 _Istateicps_65
                      _Istateicps_66 _Istateicps_67 _Istateicps_68
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_98
------------------------------------------------------------------------------

.         local b_iv1_49   =        _b[iAGRI_PF]

.         local s_iv1_49   =       _se[iAGRI_PF]

. xi:  ivreg2 ww2_vol_pop40       (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX
> )
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   251.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  271.9374693                Centered R2   =   0.5199
Total (uncentered) SS   =  1207.797255                Uncentered R2 =   0.8919
Residual SS             =  130.5650451                Root MSE      =    .2368

-------------------------------------------------------------------------------------
                    |               Robust
      ww2_vol_pop40 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .1868916   .0533392     3.50   0.000     .0823487    .2914344
         ww1_vol_sh |   .1055582    .035724     2.95   0.003     .0355405    .1755759
ww1_awards_pop10_is |   .0997412   .0921658     1.08   0.279    -.0809005    .2803829
             lpop30 |    .020982   .0198356     1.06   0.290     -.017895    .0598591
           c30unemp |   .7409981   .2857237     2.59   0.010       .18099    1.301006
          c30urban1 |  -.0207848   .0170628    -1.22   0.223    -.0542274    .0126578
            c30farm |  -.1391921   .0791611    -1.76   0.079     -.294345    .0159609
            iYf_T29 |  -.0773547   .0269029    -2.88   0.004    -.1300833   -.0246261
           MEAN9628 |  -.0024648   .0010444    -2.36   0.018    -.0045118   -.0004178
             c30men |  -1.263337   .6120958    -2.06   0.039    -2.463023   -.0636518
           c30black |  -.3873637   .0665045    -5.82   0.000    -.5177102   -.2570173
             c30jap |   .8512667   1.551103     0.55   0.583    -2.188838    3.891372
             c30deu |  -.8447066   .1877555    -4.50   0.000    -1.212701   -.4767124
             c30ita |  -.0688082   .3025835    -0.23   0.820     -.661861    .5242447
             c30vet |    .945918   .2852897     3.32   0.001     .3867605    1.505076
           lc40wage |   .1775205   .0452079     3.93   0.000     .0889146    .2661264
      iwarconpro_PC |  -.0352934    .010795    -3.27   0.001    -.0564511   -.0141357
      _Istateicps_2 |   .2008432   .1075048     1.87   0.062    -.0098623    .4115488
      _Istateicps_3 |   .0285577   .0792425     0.36   0.719    -.1267548    .1838702
      _Istateicps_4 |   .4183864   .1007922     4.15   0.000     .2208373    .6159354
      _Istateicps_5 |    .043889    .071236     0.62   0.538    -.0957311    .1835091
      _Istateicps_6 |   .4468934   .0984851     4.54   0.000     .2538663    .6399206
     _Istateicps_11 |  -.1043796   .1073376    -0.97   0.331    -.3147575    .1059983
     _Istateicps_12 |  -.0433512   .0973179    -0.45   0.656    -.2340908    .1473883
     _Istateicps_13 |   .1761743   .0954781     1.85   0.065    -.0109593    .3633079
     _Istateicps_14 |  -.0399175    .092943    -0.43   0.668    -.2220825    .1422475
     _Istateicps_21 |  -.0481837   .0837007    -0.58   0.565    -.2122341    .1158666
     _Istateicps_22 |  -.0969536   .0864092    -1.12   0.262    -.2663126    .0724054
     _Istateicps_23 |  -.0076968   .0958399    -0.08   0.936    -.1955396     .180146
     _Istateicps_24 |  -.0610299   .0811486    -0.75   0.452    -.2200782    .0980185
     _Istateicps_25 |   .1698956   .0951242     1.79   0.074    -.0165443    .3563355
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0268403   .0997686     0.27   0.788    -.1687025    .2223831
     _Istateicps_41 |    .168629   .0941446     1.79   0.073     -.015891     .353149
     _Istateicps_42 |  -.1542304   .0842857    -1.83   0.067    -.3194274    .0109666
     _Istateicps_43 |    .359333   .1030183     3.49   0.000     .1574208    .5612453
     _Istateicps_44 |   .2335672   .0866726     2.69   0.007     .0636921    .4034423
     _Istateicps_45 |   -.101439   .0990457    -1.02   0.306     -.295565     .092687
     _Istateicps_46 |   .2923887   .0978264     2.99   0.003     .1006525     .484125
     _Istateicps_47 |   .0710973   .0975737     0.73   0.466    -.1201436    .2623383
     _Istateicps_48 |   .1294789   .0963612     1.34   0.179    -.0593855    .3183432
     _Istateicps_49 |   .4488245   .0959304     4.68   0.000     .2608044    .6368446
     _Istateicps_51 |   .1447727   .1261021     1.15   0.251    -.1023828    .3919282
     _Istateicps_52 |  -.2417397   .0886653    -2.73   0.006    -.4155205    -.067959
     _Istateicps_53 |   .0980757   .1016146     0.97   0.334    -.1010852    .2972366
     _Istateicps_54 |   .0772363   .1058926     0.73   0.466    -.1303093     .284782
     _Istateicps_56 |   .3277989    .117535     2.79   0.005     .0974344    .5581633
     _Istateicps_61 |  -.4500034   .1014462    -4.44   0.000    -.6488343   -.2511725
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.1089466   .0967547    -1.13   0.260    -.2985822    .0806891
     _Istateicps_64 |   .0280387   .1166365     0.24   0.810    -.2005646    .2566419
     _Istateicps_65 |  -.1306264   .1092645    -1.20   0.232    -.3447808     .083528
     _Istateicps_66 |   .0528292   .0961077     0.55   0.583    -.1355384    .2411969
     _Istateicps_67 |  -.2125683   .0876886    -2.42   0.015    -.3844348   -.0407017
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |  -.0863682   .1053114    -0.82   0.412    -.2927747    .1200382
     _Istateicps_72 |   -.185053   .0977885    -1.89   0.058     -.376715     .006609
     _Istateicps_73 |   .0570815   .0941405     0.61   0.544    -.1274306    .2415935
     _Istateicps_98 |          0  (omitted)
              _cons |  -1.007403   .7102966    -1.42   0.156    -2.399559    .3847522
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         local b_iv2_49   =        _b[iAGRI_PF]

.         local s_iv2_49   =       _se[iAGRI_PF]

. xi:  ivreg2 ww2_awards_pop40_is (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX
> )
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   215.77
                                                      Prob > F      =   0.0000
Total (centered) SS     =  37.92675517                Centered R2   =   0.1430
Total (uncentered) SS   =   83.7514186                Uncentered R2 =   0.6119
Residual SS             =  32.50176701                Root MSE      =    .1181

-------------------------------------------------------------------------------------
                    |               Robust
ww2_awards_pop40_is |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .0498164   .0120467     4.14   0.000     .0262054    .0734275
         ww1_vol_sh |   .0553424   .0204948     2.70   0.007     .0151734    .0955114
ww1_awards_pop10_is |   .0285471   .0400039     0.71   0.475     -.049859    .1069533
             lpop30 |  -.0091699   .0136692    -0.67   0.502    -.0359609    .0176212
           c30unemp |   .1848281   .1610548     1.15   0.251    -.1308334    .5004896
          c30urban1 |  -.0010635    .006829    -0.16   0.876    -.0144481     .012321
            c30farm |   .0150933   .0291356     0.52   0.604    -.0420114     .072198
            iYf_T29 |   .0009469   .0112717     0.08   0.933    -.0211452     .023039
           MEAN9628 |    -.00058   .0003917    -1.48   0.139    -.0013476    .0001877
             c30men |  -.5457075    .218352    -2.50   0.012    -.9736695   -.1177454
           c30black |  -.0388274   .0231809    -1.67   0.094    -.0842611    .0066063
             c30jap |   .9125856   1.240165     0.74   0.462    -1.518093    3.343264
             c30deu |    .022995   .1282211     0.18   0.858    -.2283137    .2743037
             c30ita |   .0307142   .1949113     0.16   0.875     -.351305    .4127334
             c30vet |   .2290143   .1135767     2.02   0.044      .006408    .4516206
           lc40wage |   .0484989   .0217542     2.23   0.026     .0058614    .0911364
      iwarconpro_PC |   .0045248   .0046085     0.98   0.326    -.0045077    .0135573
      _Istateicps_2 |   .0230224   .0298278     0.77   0.440    -.0354389    .0814838
      _Istateicps_3 |  -.0039094   .0164681    -0.24   0.812    -.0361864    .0283676
      _Istateicps_4 |   .0179834    .029566     0.61   0.543    -.0399648    .0759317
      _Istateicps_5 |   .0703777   .0149184     4.72   0.000     .0411382    .0996171
      _Istateicps_6 |   .0110948   .0367668     0.30   0.763    -.0609667    .0831564
     _Istateicps_11 |  -.0288758   .0182014    -1.59   0.113    -.0645499    .0067983
     _Istateicps_12 |  -.0251916   .0170799    -1.47   0.140    -.0586676    .0082845
     _Istateicps_13 |   .0267126   .0223033     1.20   0.231    -.0170011    .0704264
     _Istateicps_14 |    .007753   .0224968     0.34   0.730    -.0363398    .0518459
     _Istateicps_21 |  -.0605211   .0326552    -1.85   0.064    -.1245242     .003482
     _Istateicps_22 |  -.0707692   .0283983    -2.49   0.013    -.1264288   -.0151096
     _Istateicps_23 |  -.0316894     .03329    -0.95   0.341    -.0969367    .0335579
     _Istateicps_24 |  -.0155027   .0261269    -0.59   0.553    -.0667106    .0357051
     _Istateicps_25 |   -.080549   .0431157    -1.87   0.062    -.1650542    .0039561
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .0201444   .0253083     0.80   0.426     -.029459    .0697478
     _Istateicps_41 |   -.010327   .0216423    -0.48   0.633    -.0527452    .0320911
     _Istateicps_42 |  -.0229252   .0206729    -1.11   0.267    -.0634432    .0175929
     _Istateicps_43 |   .0438049   .0333798     1.31   0.189    -.0216183    .1092282
     _Istateicps_44 |  -.0231958   .0244545    -0.95   0.343    -.0711257    .0247341
     _Istateicps_45 |   -.011498   .0260181    -0.44   0.659    -.0624926    .0394965
     _Istateicps_46 |   .0360301   .0245366     1.47   0.142    -.0120608     .084121
     _Istateicps_47 |  -.0191988   .0221957    -0.86   0.387    -.0627015    .0243039
     _Istateicps_48 |  -.0094689   .0232445    -0.41   0.684    -.0550272    .0360894
     _Istateicps_49 |   -.016824   .0268583    -0.63   0.531    -.0694654    .0358173
     _Istateicps_51 |  -.0071833   .0249732    -0.29   0.774    -.0561298    .0417632
     _Istateicps_52 |   -.015887   .0316117    -0.50   0.615    -.0778448    .0460709
     _Istateicps_53 |  -.0253997   .0239327    -1.06   0.289     -.072307    .0215076
     _Istateicps_54 |  -.0049765   .0224492    -0.22   0.825    -.0489761     .039023
     _Istateicps_56 |   .0389294   .0263487     1.48   0.140     -.012713    .0905718
     _Istateicps_61 |   .0382295   .0421585     0.91   0.365    -.0443996    .1208586
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0050489    .040205    -0.13   0.900    -.0838492    .0737514
     _Istateicps_64 |   .0830129   .0697495     1.19   0.234    -.0536936    .2197194
     _Istateicps_65 |   .0175391   .0492684     0.36   0.722    -.0790251    .1141032
     _Istateicps_66 |  -.0145873   .0334088    -0.44   0.662    -.0800673    .0508928
     _Istateicps_67 |   .0096059   .0358246     0.27   0.789    -.0606091    .0798208
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0437223   .0545754     0.80   0.423    -.0632435     .150688
     _Istateicps_72 |  -.0210778   .0449087    -0.47   0.639    -.1090972    .0669416
     _Istateicps_73 |   .0283128    .033842     0.84   0.403    -.0380164    .0946419
     _Istateicps_98 |          0  (omitted)
              _cons |  -.1432541   .2077433    -0.69   0.490    -.5504236    .2639154
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         local b_iv3_49   =        _b[iAGRI_PF]

.         local s_iv3_49   =       _se[iAGRI_PF]

. xi:  ivreg2 pc1                 (iAGRI_PF = iSUM3MO_DROUGHT3340 iAGRI_T73) $control if sample_ols == 1 & servicecommand != 7, cluster(CLIMDIVX
> )
i.stateicpsr      _Istateicps_1-98    (naturally coded; _Istateicps_1 omitted)
Warning - collinearities detected
Vars dropped:       _Istateicps_31 _Istateicps_32 _Istateicps_33 _Istateicps_34
                    _Istateicps_35 _Istateicps_36 _Istateicps_37 _Istateicps_62
                    _Istateicps_68 _Istateicps_98

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on CLIMDIVX

Number of clusters (CLIMDIVX) =    266                Number of obs =     2329
                                                      F( 55,   265) =   167.58
                                                      Prob > F      =   0.0000
Total (centered) SS     =   3677.73843                Centered R2   =   0.5345
Total (uncentered) SS   =  3678.076128                Uncentered R2 =   0.5345
Residual SS             =  1712.017645                Root MSE      =    .8574

-------------------------------------------------------------------------------------
                    |               Robust
                pc1 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           iAGRI_PF |   .8247543   .1379337     5.98   0.000     .5544092    1.095099
         ww1_vol_sh |   .4331542     .14217     3.05   0.002     .1545061    .7118024
ww1_awards_pop10_is |   .4680145   .2794755     1.67   0.094    -.0797474    1.015776
             lpop30 |  -.0161675   .0819097    -0.20   0.844    -.1767075    .1443725
           c30unemp |   2.124215   1.124519     1.89   0.059    -.0798026    4.328232
          c30urban1 |   .0072287   .0606176     0.12   0.905    -.1115796     .126037
            c30farm |  -.6426075   .3077149    -2.09   0.037    -1.245718   -.0394974
            iYf_T29 |  -.1318951   .0913459    -1.44   0.149    -.3109297    .0471394
           MEAN9628 |   -.006001   .0033595    -1.79   0.074    -.0125856    .0005836
             c30men |  -6.459359   1.820718    -3.55   0.000     -10.0279   -2.890818
           c30black |  -.9933841   .2358646    -4.21   0.000     -1.45567    -.531098
             c30jap |    11.5459   6.570682     1.76   0.079    -1.332402     24.4242
             c30deu |  -.5917787   .7737676    -0.76   0.444    -2.108335    .9247779
             c30ita |   .1557233   1.390508     0.11   0.911    -2.569622    2.881069
             c30vet |   3.221259   .9113165     3.53   0.000     1.435111    5.007406
           lc40wage |   .9103244   .1714023     5.31   0.000      .574382    1.246267
      iwarconpro_PC |   .2274203   .0462312     4.92   0.000     .1368088    .3180318
      _Istateicps_2 |   .6604316   .3389682     1.95   0.051    -.0039338    1.324797
      _Istateicps_3 |  -.0982863   .2356676    -0.42   0.677    -.5601863    .3636137
      _Istateicps_4 |    1.01629   .2844569     3.57   0.000     .4587643    1.573815
      _Istateicps_5 |   .1302685   .1931385     0.67   0.500     -.248276    .5088131
      _Istateicps_6 |   1.057225   .3504723     3.02   0.003      .370312    1.744138
     _Istateicps_11 |   .0893607   .3209074     0.28   0.781    -.5396062    .7183276
     _Istateicps_12 |    -.17893    .221375    -0.81   0.419     -.612817     .254957
     _Istateicps_13 |    .631846    .265768     2.38   0.017     .1109504    1.152742
     _Istateicps_14 |   .2723731   .2527832     1.08   0.281    -.2230728    .7678191
     _Istateicps_21 |  -.2979324   .2775472    -1.07   0.283     -.841915    .2460502
     _Istateicps_22 |  -.4297302   .2662337    -1.61   0.107    -.9515388    .0920783
     _Istateicps_23 |  -.0645534   .2976112    -0.22   0.828    -.6478607    .5187538
     _Istateicps_24 |  -.1205424   .2487316    -0.48   0.628    -.6080474    .3669627
     _Istateicps_25 |   -.028747   .3177108    -0.09   0.928    -.6514487    .5939547
     _Istateicps_31 |          0  (omitted)
     _Istateicps_32 |          0  (omitted)
     _Istateicps_33 |          0  (omitted)
     _Istateicps_34 |          0  (omitted)
     _Istateicps_35 |          0  (omitted)
     _Istateicps_36 |          0  (omitted)
     _Istateicps_37 |          0  (omitted)
     _Istateicps_40 |   .4322081   .2819023     1.53   0.125    -.1203102    .9847264
     _Istateicps_41 |    .366587    .254237     1.44   0.149    -.1317085    .8648824
     _Istateicps_42 |  -.5466495   .2416847    -2.26   0.024    -1.020343   -.0729561
     _Istateicps_43 |   .9528217   .2902698     3.28   0.001     .3839034     1.52174
     _Istateicps_44 |   .2408232   .2631935     0.92   0.360    -.2750265     .756673
     _Istateicps_45 |  -.3362653    .295716    -1.14   0.255     -.915858    .2433274
     _Istateicps_46 |   .7896323   .2820737     2.80   0.005      .236778    1.342487
     _Istateicps_47 |   .0953308   .3071012     0.31   0.756    -.5065765    .6972381
     _Istateicps_48 |  -.1003774   .2644848    -0.38   0.704     -.618758    .4180032
     _Istateicps_49 |   .7054391   .3010982     2.34   0.019     .1152976    1.295581
     _Istateicps_51 |   .1449329   .3026981     0.48   0.632    -.4483445    .7382103
     _Istateicps_52 |  -.4490972   .3014397    -1.49   0.136    -1.039908    .1417137
     _Istateicps_53 |   .1314527   .2728939     0.48   0.630    -.4034094    .6663149
     _Istateicps_54 |   .1602319    .269326     0.59   0.552    -.3676374    .6881011
     _Istateicps_56 |   .9468981   .3361389     2.82   0.005     .2880779    1.605718
     _Istateicps_61 |  -.4796931    .359161    -1.34   0.182    -1.183636    .2242494
     _Istateicps_62 |          0  (omitted)
     _Istateicps_63 |  -.0920944   .3141694    -0.29   0.769    -.7078551    .5236662
     _Istateicps_64 |   .7938474   .4190806     1.89   0.058    -.0275355     1.61523
     _Istateicps_65 |   .0394076   .3571554     0.11   0.912    -.6606042    .7394194
     _Istateicps_66 |  -.1508506   .2858043    -0.53   0.598    -.7110167    .4093155
     _Istateicps_67 |  -.3625599   .2819849    -1.29   0.199    -.9152402    .1901205
     _Istateicps_68 |          0  (omitted)
     _Istateicps_71 |   .0688688   .3653861     0.19   0.850    -.6472747    .7850123
     _Istateicps_72 |   .0684012   .3434492     0.20   0.842    -.6047468    .7415492
     _Istateicps_73 |   .6408049    .282687     2.27   0.023     .0867487    1.194861
     _Istateicps_98 |          0  (omitted)
              _cons |  -7.410705   2.137372    -3.47   0.001    -11.59988   -3.221534
-------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.451
                                                   Chi-sq(2) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):               93.332
                         (Kleibergen-Paap rk Wald F statistic):         12.625
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         iAGRI_PF
Included instruments: ww1_vol_sh ww1_awards_pop10_is lpop30 c30unemp c30urban1
                      c30farm iYf_T29 MEAN9628 c30men c30black c30jap c30deu
                      c30ita c30vet lc40wage iwarconpro_PC _Istateicps_2
                      _Istateicps_3 _Istateicps_4 _Istateicps_5 _Istateicps_6
                      _Istateicps_11 _Istateicps_12 _Istateicps_13
                      _Istateicps_14 _Istateicps_21 _Istateicps_22
                      _Istateicps_23 _Istateicps_24 _Istateicps_25
                      _Istateicps_40 _Istateicps_41 _Istateicps_42
                      _Istateicps_43 _Istateicps_44 _Istateicps_45
                      _Istateicps_46 _Istateicps_47 _Istateicps_48
                      _Istateicps_49 _Istateicps_51 _Istateicps_52
                      _Istateicps_53 _Istateicps_54 _Istateicps_56
                      _Istateicps_61 _Istateicps_63 _Istateicps_64
                      _Istateicps_65 _Istateicps_66 _Istateicps_67
                      _Istateicps_71 _Istateicps_72 _Istateicps_73
Excluded instruments: iSUM3MO_DROUGHT3340 iAGRI_T73
Dropped collinear:    _Istateicps_31 _Istateicps_32 _Istateicps_33
                      _Istateicps_34 _Istateicps_35 _Istateicps_36
                      _Istateicps_37 _Istateicps_62 _Istateicps_68
                      _Istateicps_98
------------------------------------------------------------------------------

.         local b_iv4_49   =        _b[iAGRI_PF]

.         local s_iv4_49   =       _se[iAGRI_PF]

.         
. local state_49  = "None"

. 
. clear

. set obs 50
number of observations (_N) was 0, now 50

. gen     n = _n

. gen ICPSR_STATENAME = ""
(50 missing values generated)

. forvalues dep = 1(1)4 {
  2.         foreach spec in ols iv {
  3.                 gen b_`spec'`dep' = .
  4.                 gen s_`spec'`dep' = .
  5.                 forvalues n = 1(1)49 {
  6.                         replace ICPSR_STATENAME = "`state_`n''"       if _n == `n'
  7.                         replace b_`spec'`dep'   = `b_`spec'`dep'_`n'' if _n == `n' 
  8.                         replace s_`spec'`dep'   = `s_`spec'`dep'_`n'' if _n == `n'
  9.                 } /* forvalues n */
 10.                 gen h_`spec'`dep'   = b_`spec'`dep' + 1.96 * s_`spec'`dep' 
 11.                 gen l_`spec'`dep'   = b_`spec'`dep' - 1.96 * s_`spec'`dep'
 12.         } /* foreach spec */
 13. } /* forvalues dep */
(50 missing values generated)
(50 missing values generated)
variable ICPSR_STATENAME was str1 now str7
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable ICPSR_STATENAME was str7 now str8
(1 real change made)
(1 real change made)
(1 real change made)
variable ICPSR_STATENAME was str8 now str10
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable ICPSR_STATENAME was str10 now str11
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
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(1 real change made)
(1 real change made)
(1 real change made)
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(1 real change made)
(1 real change made)
(1 real change made)
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(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable ICPSR_STATENAME was str11 now str13
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
variable ICPSR_STATENAME was str13 now str14
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 missing value generated)
(1 missing value generated)
(50 missing values generated)
(50 missing values generated)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 missing value generated)
(1 missing value generated)
(50 missing values generated)
(50 missing values generated)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(1 missing value generated)
(1 missing value generated)
(50 missing values generated)
(50 missing values generated)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
(1 real change made)
(1 real change made)
(0 real changes made)
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. 
. 
. rename ICPSR_STATENAME state

. merge 1:1 state using rawdata/ICPSR/ICPSR-States, nogen keepus(stateabb) keep(mas mat) /* not matched ICPSR_STATENAME = Full */

    Result                           # of obs.
    -----------------------------------------
    not matched                             2
        from master                         2  
        from using                          0  

    matched                                48  
    -----------------------------------------

. 
. replace stateabb = "None" if state == "Full"
(0 real changes made)

. 
. replace n = -3 if n == 49
(1 real change made)

. sort    n

. replace n = n[_n-1] + 2 if n > 1 
(48 real changes made)

. 
. graph twoway (scatter  b_ols1        n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_ols1 h_ols1 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.05)0.15, angle(0) labsize(*1.2) format(%3.2f)) title(A. OLS: War bonds, size(vlarge)) name(g1, replace)

. graph export "results/figures/AppFig10A-drop1state-ols-warbonds.pdf", replace as(pdf)
(file results/figures/AppFig10A-drop1state-ols-warbonds.pdf written in PDF format)

. 
. graph twoway (scatter  b_ols2        n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_ols2 h_ols2 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.02)0.04, angle(0) labsize(*1.2) format(%4.2f)) title(B. OLS: Volunteers, size(vlarge)) name(g2, replace)

. graph export "results/figures/AppFig10B-drop1state-ols-volunteers.pdf", replace as(pdf)
(file results/figures/AppFig10B-drop1state-ols-volunteers.pdf written in PDF format)

. 
. 
. graph twoway (scatter  b_ols3        n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_ols3 h_ols3 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.005)0.015, angle(0) labsize(*1.2) format(%4.3f)) title(C. OLS: Medals, size(vlarge)) name(g3, replace)

. graph export "results/figures/AppFig10C-drop1state-ols-medals.pdf", replace as(pdf)
(file results/figures/AppFig10C-drop1state-ols-medals.pdf written in PDF format)

.           
. graph twoway (scatter  b_ols4        n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_ols4 h_ols4 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.1)0.2, angle(0) labsize(*1.2) format(%3.2f)) title(D. OLS: PCA, size(vlarge)) name(g4, replace)

. graph export "results/figures/AppFig10D-drop1state-ols-pca.pdf", replace as(pdf)
(file results/figures/AppFig10D-drop1state-ols-pca.pdf written in PDF format)

. 
. 
. graph twoway (scatter  b_iv1       n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_iv1 h_iv1 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.25)0.5, angle(0) labsize(*1.2) format(%3.1f)) title(E. IV: War bonds, size(vlarge)) name(g5, replace)

. graph export "results/figures/AppFig10E-drop1state-iv-warbonds.pdf", replace as(pdf)
(file results/figures/AppFig10E-drop1state-iv-warbonds.pdf written in PDF format)

. 
. graph twoway (scatter  b_iv2       n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_iv2 h_iv2 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.15)0.3, angle(0) labsize(*1.2) format(%3.2f)) title(F. IV: Volunteers, size(vlarge)) name(g6, replace)

. graph export "results/figures/AppFig10F-drop1state-iv-volunteers.pdf", replace as(pdf)
(file results/figures/AppFig10F-drop1state-iv-volunteers.pdf written in PDF format)

. 
. 
. graph twoway (scatter  b_iv3       n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_iv3 h_iv3 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.025)0.075, angle(0) labsize(*1.2) format(%4.3f)) title(G. IV: Medals, size(vlarge)) name(g7, replace)

. graph export "results/figures/AppFig10G-drop1state-iv-medals.pdf", replace as(pdf)
(file results/figures/AppFig10G-drop1state-iv-medals.pdf written in PDF format)

. 
. graph twoway (scatter  b_iv4       n  ,  color(black) msize(medlarge)               )         ///
>                          (rcap     l_iv4 h_iv4 n, color(black) msize(medlarge) lwidth(medthick) ),        ///
>           legend(off) graphregion(color(white)) xtitle("State excluded", size(vlarge)) ytitle("")   /// 
>           yline(0, lcolor(red)) xlabel(-3 "None" 1 "AL" 3 "AZ" 5 "AR" 7 "CA" 9 "CO" 11 "CT" 13 "DE" 15 "DC" 17 "FL" 19 "GA" 21 "ID" 23 "IL" 25
>  "IN" 27 "IA" 29 "KS" 31 "KY" 33 "LA" 35 "ME" 37 "MD" 39 "MA" 41 "MI" 43 "MN" 45 "MS" 47 "MO" 49 "MT" 51 "NE" 53 "NV" 55 "NH" 57 "NJ" 59 "NM" 
> 61 "NY" 63 "NC" 65 "ND" 67 "OH" 69 "OK" 71 "OR" 73 "PA" 75 "RI" 77 "SC" 79 "SD" 81 "TN" 83 "TX" 85 "UT" 87 "VT" 89 "VA" 91 "WA" 93 "WV" 95 "WI
> " 97 "WY" , noticks valuelabel labsize(*0.7) alt)                    ///
>           ylabel(0(0.5)1, angle(0) labsize(*1.2) format(%3.1f)) title(H. IV: PCA, size(vlarge)) name(g8, replace)

. graph export "results/figures/AppFig10H-drop1state-iv-pca.pdf", replace as(pdf)
(file results/figures/AppFig10H-drop1state-iv-pca.pdf written in PDF format)

. 
. ***************************************************************************************************
. ****    III. Erase junk                                                                        ****
. ***************************************************************************************************
. foreach cut in 200 400 600 800 1000 {   
  2.         erase "tmp/moransi_`cut'.dta"
  3. } /* foreach cut */

. 
. log close
      name:  <unnamed>
       log:  C:\Users\locasa\Dropbox\Patriotism\writeup\submission\QJE\replication\log/results-appendix.log
  log type:  text
 closed on:  15 Jun 2022, 15:20:35
------------------------------------------------------------------------------------------------------------------------------------------------
